2023 September

COSMOS

INTELLIGENCE

INDIVIDUAL ARTICLES

AI and Human: The Adventure of an Ambivalent Future

AI Solutions for Reducing Carbon Emissions

NVIDIA is Rising Again thanks to AI

ChatGPT as a Psychological Counselor

The Rise of AI Deepfake in Media World

Observing the Distant Cosmos: Techniques for Deep Space Exploration

GROUP ARTICLES

THE FUTURE OF ARTIFICIAL INTELLIGENCE

Observing the Distant Cosmos: Techniques for Deep Space Exploration

Artificial Intelligence Treats Humans’ Fear

AI Revolutionizes Security at Paris Olympics: A Collaborative ApproacH

Artificial intelligence accelerates the development of space science

AI’S TRANSFORMATIVE POTENTIAL ACROSS SECTORS

Revolutionizing AI: Elon Musk’s xAI Initiates Paving the Way for Ethical and Transparent AI

AI for Biotechnology

Artificial Intelligence Accelerates the Development of Space Science

AI Treats Human’s Fear

Observing the Distant Cosmos: Techniques for Deep Space Exploration

AI Revolutionizes Security at Paris Olympics: A Collaborative Approach

C O S M O S

AI AND HUMAN: THE ADVENT OF AN AMBIVALENT FUTURE - WOOJIN JEONG AI

NVIDIA

CHATGPT AS A PSYCHOLOGICAL COUNSELOR - JENNY IN

BY TRYING TO HAVE A THERAPY WITH CHATGPT IT IS FOUND THAT IT KNOWS ITS LIMITS AND MUCH DELICATE DEVELOPMENTS ARE NEEDED FOR IT TO BE A SUITABLE COUNSELOR

THE RISE OF AI DEEPFAKE IN MEDIA WORLD - CHANSOL YANG

REVOLUTIONIZING AI: ELON MUSK'S XAI INITIATES PAVING

- SHIHWAN KIM

MACHINE

AI FOR BIOTECHNOLOGY - SOOAN LEE ARTIFICIAL

INDIVIDUAL ARTICLES

AI and Human AI and Human

: The advent of : The advent of an ambivalent future an ambivalent future

woojin jeong

Ethical Dilemmas

Artificial Intelligence (AI) has emerged as a transformative force, reshaping various aspects of our lives. While it promises numerous benefits, there is an ongoing debate regarding the potential dark side of AI. This article aims to delve into the ambivalence of AI, exploring the cruel future it may redound By analyzing the ethical implications and the potential consequences of unchecked AI development, we can better understand the need for responsible and ethical implementation of this powerful technology

One of the key concerns surrounding AI lies in the ethical dilemmas it presents As AI becomes increasingly capable and autonomous, questions arise about its potential misuse For instance, autonomous weapon systems powered by AI could lead to devastating consequences, as the decision to take a life would rest solely in the hands of machines, devoid of moral judgment and empathy Such a scenario paints a grim picture of the future where wars and conflicts are waged with unfeeling efficiency, devoid of human compassion and understanding

Another ethical quandary lies in the potential for biased decision-making within AI systems. Machine learning algorithms are trained on vast datasets, which can inadvertently incorporate biases present in the data. If unchecked, this could perpetuate social inequalities by reinforcing existing prejudices, whether related to race, gender, or socio-economic status AI-powered systems have already been implicated in cases of discriminatory hiring practices and biased criminal sentencing, further highlighting the need for rigorous scrutiny and accountability in AI development

Consequences of Unchecked AI Development

Without proper checks and balances, The proliferation of AI, may lead to a range of dire consequences. One significant concern is the erosion of privacy. AI algorithms are capable of collecting and analyzing vast amounts of personal data, raising concerns about surveillance, data breaches, and the potential for abuse by governments or corporations. The loss of privacy in an AI-driven future threatens the autonomy and individual freedoms we cherish, as personal information becomes increasingly commodified and vulnerable.

Furthermore, there is a growing fear that AI may exacerbate unemployment and income inequality. As AI systems advance, they have the potential to automate various job roles, leading to significant job displacement. The fear is that without adequate measures to address this issue, a significant portion of the population may find themselves unemployed or economically marginalized. The resulting social unrest and inequality could amplify societal divisions and create a stark divide between those who control AI and those left behind.

Addressing the Ambivalence

In order to navigate the ambivalence surrounding AI, responsible and ethical developments must be prioritized. Policymakers, industry leaders, and researchers must collaborate to establish robust regulations and frameworks that ensure transparency, accountability, and fairness in AI systems. Ethical considerations–privacy protection, bias mitigation, and human oversight– must be integrated into the design and deployment of AI technologies.

Investing in AI education and fostering a culture of AI literacy will also play a pivotal role in shaping the future. By empowering individuals with knowledge and understanding of AI, we can foster a more informed society that can actively shape AI's development and ensure its alignment with human values.

Even though AI possesses immense potential for positive change, we must remain vigilant about its potential negative consequences too. The ambivalence of AI lies in its immense power, which, if left unchecked, could redound in a cruel future. By addressing the ethical dilemmas and potential consequences associated with AI, we can harness its potential for the betterment of humanity. Responsible and ethical AI developments, combined with public awareness and participation, are crucial for creating a future where the benefits of AI are maximized, and the harms are mitigated.

Solutions AI Solutions

for Reducing for Reducing Carbon Emissions Carbon Emissions

Bioplastics, touted as the solution to environmental pollution, may not be the complete alternative

The world is currently facing an unprecedented climate change, which is solely attributed to human beings. Human activities including electricity generation, manufacturing, and deforestation had led to a massive amount of greenhouse gas emission. In response to such urgency, there are myriad cooperative actions to curb carbon emissions, which greatly imperil our home..To this end, the integration of Artificial Intelligence (AI) technologies into climate mitigation strategies offers a potential to transform industries and pave the way for a more sustainable future.

Understanding the Necessity of AI for Carbon Challenge

‘Climate TRACE’ : AI for Transparency

Reducing carbon emissions is a complex challenge that demands acute insights from large volumes of data. AI makes this complex challenge easier by using its remarkable ability to process vast amounts of data promptly and accurately. AI algorithms have the capability to analyze and interpret massive datasets related to factors that are associated with carbon emission: energy consumption, transportation, and manufacturing. Not only is it available to track the carbon footprint of large corporations, AI can also monitor the carbon footprint of individuals or entire populations: residents of a specific city or town. By identifying patterns and trends, AI algorithms provide a clear understanding of emission sources, enabling target strategies for carbon mitigation.

Climate TRACE, which stands for tracking real-time atmospheric carbon emissions, is a collaboration between lots of organizations including nonprofits, tech companies, and universities This project, which aims for accurately monitoring and quantifying global greenhouse gas emissions by satellite imagery and AI algorithms, exemplifies how AI can be harnessed to contribute to reducing carbon emission. Thereafter, the AI algorithms, funded by Google, combine the data with verifiable emissions measurements to make estimates of the total emissions coming from various sources. By this process, ‘Climate TRACE’ offers real-time insights on carbon contributors. This unprecedented level of transparency empowers governments, businesses, and policymakers to make informed decisions to curb emissions effectively.

Utilizing AI in Various Ways

There are several methods to use AI technologies to reduce carbon emissions from various sectors. AI-driven optimization of energy consumption is a pivotal strategy to reduce carbon emissions. In industrial settings, AI algorithms analyze usage patterns, predicting peak demand times and suggesting energy-efficient solutions. The cumulative effect of optimizations across industries can result in significant emission reductions. Also, AI technologies can revolutionize the transportation aspect. AI-powered traffic management systems optimize traffic flow, reducing congestion and idling times, which directly translates into lower emissions. Moreover, AI algorithms are integral to the development of electric and autonomous vehicles, which guarantee reduced emissions compared to traditional internal combustion engines.

As AI develops at a more advanced level, its capacity to significantly aid carbon emissions reduction grows substantially. By ensuring responsible design, transparency, fairness, and inclusivity of AI systems, it will be possible for AI technologies to evolve toward positive advancements, ultimately leading us toward a more sustainable and resilient future

Who are they?

Chanwoo

NVIDIA, a company widely recognized in the tech industry, has established itself as a major powerhouse for AI development. While initially known for manufacturing gaming graphics cards, NVIDIA's prominence in the AI field originates from the unique capabilities of its GPUs and its strategic focus on advancing AI technologies

The foundation of NVIDIA's success in AI lies in the parallel computing power of its GPUs GPUs are designed to handle massive amounts of data simultaneously, making them ideal for AI workloads relying on parallel processing. While graphics processing requires simultaneous calculations for multiple pixels, colors, and locations, AI operations benefit from parallel computing to efficiently process large datasets and complex algorithms. NVIDIA's GPUs are purpose-built for these computations, allowing them to excel in AI tasks.

NVIDIA recognized the potential of AI early on and proactively adapted its hardware and software offerings to cater to the growing demand in the field. By leveraging the parallel processing capabilities of their GPUs, NVIDIA's products have become a go-to choice for AI researchers, developers, and businesses. The company has also invested heavily in developing specialized hardware for AI, such as the Tensor Cores found in their newer GPU architectures, which excel at accelerating deep learning computations.

NVIDIA has significantly created comprehensive software tools and frameworks that facilitate AI development One of its flagship offerings is CUDA, a parallel computing platform and programming model allowing developers to harness NVIDIA GPUs' full potential for AI tasks. CUDA has become a widely adopted standard in the AI community, enabling developers to write efficient and scalable AI algorithms.

NVIDIA's commitment to AI extends beyond its hardware and software offerings. The company actively collaborates with researchers, universities, and industry leaders to advance AI technologies. It provides resources, support, and training to help foster innovation and drive breakthroughs in various AI applications. This collaborative approach has helped NVIDIA establish itself as a leading contributor to the AI ecosystem.

It is not a flash

As AI continues to evolve and permeate diverse sectors, NVIDIA remains at the forefront of the industry, continuously pushing the boundaries of what is possible. The company consistently releases new GPU architectures and software updates tailored to meet the growing demands of AI workloads. Its ongoing commitment to research, development, and collaboration ensures that NVIDIA remains dominant in the AI landscape.

NVIDIA's ascent to the forefront of AI development can be attributed to its GPUs' parallel computing capabilities, which align closely with the computational requirements of AI tasks. By capitalizing on this hardware advantage, NVIDIA has positioned itself as a leader in the field. The company's dedication to software tools, frameworks, and industry collaboration has cemented its role in shaping the future of AI As AI continues to advance and permeate various sectors, NVIDIA's innovative hardware and software solutions are poised to play a crucial role in driving further advancements and shaping the AI landscape for years to come.

ChatGPT as a Psychological Counselor

By trying to have a therapy with ChatGPT, it is found that it knows its limits, and much delicate developments are needed for it to be a suitable counselor.

“I want you to know that you're not alone in what you're experiencing Many people go through periods of feeling lost, hopeless, and lacking a sense of purpose It can be incredibly challenging, but there is hope for a brighter future In the meantime, it may be helpful to reach out to someone you trust a friend, family member, or a helpline in your country Sharing your feelings and thoughts with someone who can offer support can provide you with a sense of connection and help you navigate through this difficult time.”

ChatGPT answered to a hopeless person, who asked “I need psychological therapy. I gave up everything, including myself. I don't have any expectations or hopes anymore. I cannot find the meaning of life. Can you comfort me?”

It is quite comforting. However, it required several tries to get an adequate answer. Without the sentence that asks for a specific thing, it never consoles the chatter but just lets them know the formal way to reach out. To the same chat that drew the answer at the beginning, except excluding “can you comfort me?”, GPT answered like this: “If you're in immediate danger or need immediate assistance, please reach out to a helpline or emergency services in your country right away. They are available 24/7 to provide immediate support.” Unlike it, human counselor would be able to catch the needs of the counselee and properly mix the comfort and the solution.

Then, can an AI replace psychological counseling? In order to understand the question, it is important to consider the purpose and role of therapy.

<IllustrationhandsmeetingrepresentinghumanandAI|ImagebyGerdAltmannfromPixabay>

Historically, there have been two different ways of therapy, depending on the perspective: psychoanalyst’s way and behaviorist’s way. Psychoanalyst tries to understand and analyze what is going on in the counselee’s subconscious and unconscious mind. They basically used free association, letting counselees say everything that just comes to the mind even though it is not coherent. Behaviorist tries to change counselee’s behavior, considering relationship between their thoughts, feelings, and behaviors. The two ways are different since psychoanalyst tries to solve the fundamental reason of the counselee’s problem, but behaviorist only sees the superficial appearance of the counselee.

Rather than knowing the difference of two ways, it is more important to define the roles of therapy since both ways are effective. Two roles can be considered: to provide actual solutions, and to empathize and give comfort to the counselee. The former requires the knowledge of counseling and great analytical ability, which ChatGPT can provide. However, the latter requires the deep, reliable relationship between counselor and counselee, not only the ability to understand the feelings and provide proper words About this, GPT acknowledges its limits The beginning of its answer to the hopeless chatter is like the following: “I'm really sorry to hear that you're feeling this way, but as an AI language model, my capabilities are limited to providing general information and support ”

Since AI has generally-inevitable downsides like existing only by chatting, much delicate developments are needed for the AI to become a suitable counselor It is human’s role to develop the way to make up for the shortcomings while making the most of the advantages of AI so that psychological counseling can be reachable to many people

The Rise of AI: Deepfake in Media World

CHANSOL YANG

In recent years, artificial intelligence (AI) deepfake technology has emerged as a transformative force in media culture. Deepfakes, synthetic media created by AI algorithms, have the ability to seamlessly replace one’s face with another’s in videos, images, and even audio recordings. While deepfake have sparked interest and excitement for their potential applications, they have also raised significant ethical concerns. This article explores the impact of AI deepfake technology on media culture, examining both its creative possibilities and the need for responsible use and regulation.

The creative potential

AI deepfake technology offers a wealth of creative possibilities in different channels of the digital world Filmmakers and video content creators can use deepfakes to insert actors into historical events or reimagine classic films with contemporary actors This technology allows for exciting narrative experimentation, opening up new avenues for storytelling and artistic expression Additionally, deepfake can enhance visual effects in movies, creating lifelike characters that were once limited to imagination

Moreover, AI deepfake has democratized creativity by enabling anyone with access to the necessary tools to create their own deepfake content. This has led to the emergence of online communities and platforms where individuals can share their creations and engage in collaborative projects. These communities foster creativity, innovation, and the exploration of new artistic challenges.

Ethical concerns

Despite the creative potential of AI deepfake technology, it has also raised significant ethical concerns. One of the main concerns is the potential for misinformation and deception. Deepfake has the power to manipulate public opinion and spread false narratives. They can be used to create convincing fake news, political propaganda, or to defame individuals by placing them in compromising situations. The rapid spread of misinformation through deepfake poses a threat to public trust and the integrity of information in media world. Another ethical concern revolves around consent and privacy. Deepfake allows for the manipulation of individuals’ images and voices without their permission. This raises questions about consent and control over one’s own likeness and identity. Unauthorized deepfakes can lead to the violation of privacy, harassment, and the potential for misuse, such as revenge porn or extortion.

challenges

To mitigate the risks associated with deepfake technology, there is a need for a muti-faceted approach involving technological advancements and regulatory measures. Technological advancements should focus on developing robust detection algorithms capable of identifying deepfake content, allowing media consumers to make informed judgments. Additionally, platforms and social media companies should prioritize the development and implementation of content moderation policies to detect and remove malicious deepfake. Furthermore, regulatory measures can help establish legal frameworks for deepfake creation and dissemination. These measures should address issues of consent, privacy, and accountability. Legislations can be enacted to criminalize the creation and distribution of non-consensual deepfakes, while also protecting freedom of expression and creativity.

AI deepfake technology presents both excitement and challenge in the media world The creative potential granted by deepfake has the power to transform storytelling and visual effects in film However, the ethical concerns surrounding deepfake, such as misinformation and privacy violations, must be adequately addressed through technological advancement along with regulatory measures in advance

As we navigate the complex landscape of AI deepfake technology, it is crucial to stroke a balance between creativity and responsible use. By promoting transparency, accountability, and consent, we can harness the creative potential of AI deepfake while safeguarding the integrity of the media world and protecting individuals’ rights.

<HarryPotterfromBalenciagaadvertisementusingAIdeepfake|Rootstocksviaistock>Rootstocksviaistock>

<DonaldtrumparrestpicturemanipulatedbyAIdeepfake|Rootstocksviaistock>

In the ever-evolving landscape of artificial intelligence (AI), a groundbreaking new player has emerged: Elon Musk's xAI. With a mission to create ethical and transparent AI systems, xAI is setting itself apart from the rest of the field by focusing on accountability, reliability, and the empowerment of human-AI collaboration.

A VISION FOR ETHICAL AI

Elon Musk, known for his ambitious ventures such as Tesla and SpaceX, has turned his attention to the world of AI. With xAI, he aims to address one of the most pressing concerns surrounding AI development: the ethical implications of increasingly autonomous systems. Unlike many AI projects that prioritize rapid advancement, xAI takes a cautious and principled approach.

Central to xAI's vision is the commitment to ensuring AI operates within ethical boundaries. The system places a strong emphasis on transparency and fairness, with algorithms that are designed to be comprehensible and interpretable. This commitment to transparency aims to demystify the decision-making processes of AI, enabling humans to understand why AI systems arrive at certain conclusions.

<TwitterCEOElonMusksayshe’sdevelopingamaximum“truth-seeking”|SkyNewsAustrailia>

THE DIFFERENTIATING FACTOR: ACCOUNTABILITY AND TRUST

What sets xAI apart from its competitors is its unwavering emphasis on accountability The lack of accountability in AI has been a growing concern, especially in high-stakes domains like healthcare, finance, and autonomous vehicles xAI addresses this concern head-on by integrating mechanisms that allow tracing back decisions to their source code and data inputs

Musk's xAI introduces a unique "Accountability Engine" that logs the reasoning and data that lead to each decision made by the AI system This empowers auditors, regulators, and even end-users to understand and verify the decision-making process The transparency provided by this engine not only ensures ethical behavior but also builds trust between AI systems and the humans who rely on them

<ElonMusklaunchinganewcompanycalledxAI|GettyImages>

THE ROAD AHEAD

Elon Musk's xAI is undoubtedly a game-changer in the AI landscape. Its commitment to ethical conduct, transparency, accountability, and collaboration sets a new benchmark for responsible AI development. As xAI gains traction, it has the potential to reshape how industries integrate AI technologies into their operations.

However, challenges lie ahead. Achieving the level of transparency and accountability xAI envisions may require reimagining the way AI systems are built, tested, and regulated. Striking a balance between innovation and ethical considerations will be critical in the journey to make AI a force for good.

Elon Musk's xAI stands as a beacon of hope in the world of AI. By placing humanity's values at the forefront and leveraging AI as a tool for collaboration, xAI demonstrates a unique and powerful approach to shaping the future of artificial intelligence. As the technology continues to evolve, xAI's principles may become the foundation upon which AI advancements are built, ensuring a brighter and more responsible future.

machine learning vs deep learning

WOOYEONG

WHY SHOULD WE LEARN ABOUT “LEARNING?

For a long time, humans have tried to find effective ways to simplify chores, and those efforts have been achieved by the industrial revolutions so far. Our interests had gradually headed to automation, especially combining multiple technologies like Artificial Intelligence AI’s availability in diverse fields and its accuracy have been strengthened with continuous complements by many AI experts. In 2022, among numerous applications with AI, chatGPT(Generative Pre-trained Transformer) is the most innovative but controversial technology As its name implies, Artificial Intelligence essentially involves acquiring the mechanisms of human learning and intelligence. It has a broad spectrum encompassing many parts of our lives. For Artificial Intelligence, there are many different methods of AI Machine Learning(ML), Deep Learning(DL), Natural Language Processing (NLP), Neural Machine Translation (NMT), etc.

Machine Learning

The terms of two learning algorithms are pretty intuitive as both terms contain the core meaning of mechanisms. Machine learning improves its ability to predict and classify by learning big data. This process is called “training”, and Machine Learning is operated to reduce the error value by gradual training Machine learning has the advantage that it can identify data trends and patterns that humans might miss. Moreover, the results may become more accurate over time.

Deep Learning

Before exploring deep learning, we should know about the Artificial Neural Network(ANN). ANN was inspired by animals’ neural networks, especially the brains of the central nervous system. About 100 billion neurons are connected in parallel by 100 trillion synapses in the human brain Axons in each neuron send electrical signals to the next neuron, and these complicated and frequent processes are how neurons communicate. ANN was intended to imitate the shape and mechanisms of our neural networks By applying ANN to Deep Learning algorithms, they can find and extract the patterns of data without any help from engineers Further, there are some types of ANN with usages. CNN(Convolutional Neural Network) is mostly used for image detection identifying the patterns and features within the image. And, RNN(Recurrent Neural Network) is an algorithm optimized for sequential data that contribute to the tasks about texts. Now, computer programs can easily detect multiple objects in a video and classify them within certain categories.

how are they different?

‘Deep Learning’ is not a discrete concept it is a subdomain of Machine Learning However, these two learning strategies are commonly separated when it comes to the explanation of the technology used in particular inventions. Deep Learning is much more independent than Machine Learning It uses an artificial neural network, a layered structure algorithm for implementing those quests

Machine learning and Deep learning have become the basis for other relevant automatizing technologies

Those two learning methods are distinct in terms of intervention from humans. Machine learning needs refined data and patterns by humans to be exposed. After repeated exposition and acquisition, this AI model can finally distinguish accurate data from another bunch of inappropriate data And the AI engineers should observe how they predict the value and adjust those models in the right direction. However, deep learning doesn’t require human intervention during the learning process. As described above, deep learning models identify the patterns between given data using ANN(Artificial Neural Network) With ANN, the model driven by deep learning can evaluate the prediction rates by itself that is, the efforts of engineers are noticeably less than ML.

As a subdomain that is the advanced concept of Machine Learning, Deep Learning algorithms are much more complex, so engineers should be thoroughly involved in the early stage of development compared to ML. Therefore, it is obvious that there are more functions and applications in deep learning However, it requires much time and accuracy for achievement.

Now, the point has reached where we can’t live without AI systems, and irreversible since we have once experienced their benefits Many intellectuals such as Yuval Harari are raising their voice to warn the future world conquered by overly developed AI and to prepare the cushions for the feasible catastrophe. The first step of provisions is to understand their mechanism and grow insight to discern the exact wrong part if a problem occurs.

ARTIFICIAL INTELLIGENCE FOR BIOTECHNOLOGY

Sooan Lee

Artificial Intelligence shows its potential as a pivotal technology in the field of bioengineering.

According to TechTarget, artificial intelligence is the representative of human intelligence processes by machines, especially computer systems. In general, AI systems work by ingesting large amounts of labeled data and analyzing the data for correlations and patterns Artificial intelligence has been utilized in a wide range of fields, including robotics, finance, education, healthcare, and so many more The usage of artificial intelligence has greatly influenced the field of bioengineering to achieve its rapid development

Genomic Sequencing and Analysis

AI has played a crucial role in genomic sequencing, where it has improved the efficiency and accuracy of DNA sequencing technologies. AI algorithms aid in data analysis, identifying genetic variations, predicting gene functions, and detecting disease-associated mutations to prevent further diseases. By combining AI with high-throughput sequencing techniques, researchers can process and interpret genomic data at a larger scale, facilitating genomics research and personalized medicine.

Synthetic Biology

Synthetic biology is the design and construction of new biological parts, devices, and systems, and the re-design of existing, natural biological systems for useful purposes or specific applications. For example, microorganisms harnessed for bioremediation to clean pollutants from our water, soil, and air can be considered the output of synthetic biology. AI has influenced synthetic biology by assisting in the design and optimization of genetic circuits and metabolic pathways. AI algorithms can analyze large datasets, guiding the development of synthetic biology applications like biosensors, biofuels, and biopharmaceuticals.

Protein Engineering

Protein engineering is the process of modifying a protein sequence in order to obtain a modified protein that is more suitable for a particular application or purpose than the unmodified protein. AI has revolutionized protein engineering by enabling the design of proteins with specific functions or improved properties. AI algorithms can predict protein structures, simulate protein folding, and model protein interactions. This helps researchers design novel enzymes, optimize protein functions, and engineer proteins for various applications.

Bioprocessing and Fermentation

AI has influenced precision medicine by integrating patient-specific data, such as genomic profiles, medical imaging, and clinical records, to provide personalized diagnostics and treatment strategies. AI algorithms analyze and interpret these data to identify patterns, predict disease risks, and recommend tailored therapies. This enables healthcare providers to deliver precise and targeted treatments, improving patient outcomes.

Microbiome Analysis

The human microbiome consists of the microorganisms that inhabit the body. It has significant implications for health and disease, AI algorithms aid in analyzing large-scale microbiome data, identifying microbial communities, and understanding their interactions with the human host. This knowledge is valuable for developing microbiome-based therapeutics, improving diagnostics, and enhancing our understanding of the role of the microbiome in various diseases.

In conclusion, artificial intelligence (AI) has profoundly influenced a wide range of biotechnologies, revolutionizing the field and accelerating advancements in various areas. Through its ability to analyze complex biological data, AI has contributed to genomic sequencing and analysis, synthetic biology, protein engineering, drug discovery and development, precision medicine, bioprocessing and fermentation, and microbiome analysis. By harnessing the power of AI algorithms, researchers and scientists can gain valuable insights, optimize processes, and design novel solutions in the realm of biotechnology. As AI continues to evolve, it holds tremendous potential to further transform and shape the future of biotechnologies, ultimately leading to breakthroughs in healthcare, sustainability, and the understanding of life itself

2023.07.11 20142 Sooan Lee leesonia0609@gmail.com

GROUP ARTICLES

AI’STRANSFORMATIVE POTENTIALACROSSSECTORS

OBSERVING THE DISTANT COSMOS: TECHNIQUES FOR DEEP SPACE EXPLORATION ARTIFICIAL INTELLIGENCE TREATS HUMANS’ FEAR

AI REVOLUTIONIZES SECURITY AT PARIS OLYMPICS: A COLLABORATIVE APPROACH ARTIFICIAL INTELLIGENCE ACCELERATES THE DEVELOPMENT OF SPACE SCIENCE

Captivating flashlights of stars have been the symbols of hope for humans for a long time The ancient people inscribed the constellations they witnessed on the wall of the cave, or they used the Pole Star to guide their journeys As humans have been curious about the world of outer space, many scientists and inventors have developed more specific ways we can observe those stars And finally, now we can readily watch the stars and planets by using an astronomical telescope or searching on Google to find 4k images of them Meanwhile, in the era of AI, Artificial Intelligence is beginning to take charge of this field, allowing us to know deeper about the secrets of space

Observing the interaction between galaxies

Galaxy merger, the most violent communication between galaxies, occurs when over two galaxies collide with each other. Influenced by gravitational force during this process, they can finally be merged into one galaxy. This process is meaningful since many researchers can identify the formation of stars in those galaxies, along with the growth of which. There was a hypothesis: when the two galaxies merge, the stars would impact interstellar gas and amplify two times as they are destroyed by the ‘baby boom’. It had not been proven until AI figured out it is true according to AI analysis. The team Netherlands Institute for Space Research(SRON) introduced CNN(convolutional neural networks) a type of deep learning-based algorithm which is developed on NVIDIA GPUs, to implement this AI system and to solve the questions concerning the exact galaxy merger process shape change, cause of rapid star formation, and the interaction between the moving matter and supermassive black holes lying at the center of large galaxies. Deep learning has a significant advantage because it can organize and assess abundant images and data in an efficient way. Thus, this finding was among the most striking and prominent using novel technologies.

Finding parameters and anticipating the events

Astronomers now have reached the point that predicts catastrophic events that can possibly occur in space Gravity is the fundamental and necessary in the study of space, which takes charge of all the movement To anticipate every possible situation in the universe, Ligo and Virgo using machine learning are effective in recognizing many signals of events by collaborating with their gravitational-wave detectors. Furthermore, a pivotal role of AI is the recognition of parameters encompassing the mass, dimensions, and Earth-distance of celestial bodies, notably stars. Using AI analysis to specify the information about stars, scientists can get to know about them with up to 96% accuracy.

Artificial Intelligence Artificial Intelligence

Treats Humans’ Fear Treats Humans’ Fear

Therapists can relieve clients’ anxiety based on exposure therapy by combining virtual reality therapy with artificial intelligence, providing a more personalized experience.

irtual reality therapy (VRT) is a form of in vivo exposure therapy in which clients are active participants in a three-dimensional computer-generated interactive environment that allows them a sense of actual involvement in scenarios related to their presenting problems, according to the APA Dictionary of Psychology (VandenBos, 2015) It is broadly used to alleviate anxiety-related disorders VRT is based on exposure therapy, a type of behavioral therapy among lots of perspectives about the treatment of psychological illness. It asks a client to repeatedly confront the feared stimuli. By facing the fear, they are expected to gradually become calm to the stimuli.

There are three types of exposure therapy. As one type of it, systematic desensitization helps clients to change anxiety to relaxation. It continuously pairs relaxed feelings and feared stimuli to reinforce the conditioning. Flooding, the next type, lets the client imagine the most fearful stimuli at first and helps them realize it is irrational, so they would no longer fear it The other type is modeling, which makes the client copy the calm behavior of another person encountering their feared stimuli

No matter what specific kind of exposure therapy is used, VRT helps a client imagine the situation with the feared stimuli. It shows the most realistic scene except the case they actually face it, making the therapy more accessible at a low cost. Furthermore, if VRT is combined with artificial intelligence (AI), it maximizes the effect of the therapy by giving immersive experiences

Overall, AI can make VRT more personalized. From the setting, it can consider the specific anxiety the client has, even taking into account their own situation and context to create the most realistic scene for them. Through the process, it can also get data from them and personalize the VR environment. Furthermore, AI is able to make the adaptation almost as soon as it notices the physiological feedback of the client For example, the therapy may cause side effects when the initial encounter is too severe, or there may be some cases that the client needs more challenge to overcome the fear although they are already having a hard time facing it In these cases, AI can be more effective in therapy than human therapists who can only observe the client and decide subjectively, since it can help the therapist by detecting the reactions of the client in a moment and objectively analyzing them

However, there are some aspects to consider and develop. Since fear is a sensitive issue and minor treatment can make it much greater than before, both the AI and the therapist who utilizes it should be experts. The AI needs to be trained in delicate aspects, too, and the therapist needs to be familiar with the use of both traditional methods and AI. Also, the data should be managed well.

Despite the concerns, it is evident that VRT combined with AI works as a great assistant in exposure therapy by giving the client a more personalized experience. With careful application, the development of technology will be able to realize its utmost potential.

Shihwan Kim shihwan0402@gmail.com

AEnhanced Surveillance: The Role of AI

s the world eagerly anticipates the grandeur of the Paris Olympics, the spotlight shines not only on athletic prowess but also on cutting-edge security measures Recognizing the immense challenges posed by ensuring safety across such a vast event, organizers have turned to innovative technologies to assist in the monumental task. At the forefront of this security revolution is an AI system that is transforming the landscape of surveillance.

COLLABORATION IN ACTION: AI AND HUMAN EXPERTISE

"Amidst the vast network of 250 security cameras that envelop our town, the task of real-time monitoring exceeds the capabilities of our four-person team," explains Nicolas Samsoen, the mayor of Massy However, the implementation of the AI surveillance system introduces a paradigm shift Instead of replacing human involvement, it acts as a collaborative tool, enhancing the efficiency and efficacy of security operations

The AI device is designed to identify specific scenarios, such as sudden gatherings of people, and promptly triggers alerts when such incidents are detected However, the decisive factor lies in the subsequent human response "The AI empowers us to make informed decisions," Mayor Samsoen affirms "Ultimately, it is humans who determine the appropriate course of action, not the AI This is a fusion of technological capabilities and human judgment "

AUGMENTING EXPERTISE: AI'S LEFT LEARNINGS

To showcase the AI system's proficiency, a test was conducted near the police station. A solitary piece of luggage was strategically placed on the street. In a matter of seconds, the system raised an alarm, projecting the suitcase's image onto the control room screen via CCTV footage.

But how does the AI recognize potential threats like unattended luggage? This is where its learning process comes into play. The developers have meticulously curated a diverse collection of images depicting lone bags on streets, effectively teaching the AI what to look out for. As this dataset continues to expand, the AI system's accuracy improves, reflecting its capacity to learn and adapt.

In the pursuit of bolstering security through AI, ethical considerations remain paramount. While AI systems introduce unparalleled efficiency, the decision-making authority must always remain with humans. The collaboration between AI technology and human expertise is a dance that prioritizes responsible, transparent, and accountable practices.

The integration of AI surveillance for the Paris Olympics serves as a blueprint for future event security. This harmonious partnership between human and machine is poised to revolutionize security strategies, not only for global events but also for public spaces worldwide As the world witnesses the intersection of technology and security, it is evident that the future holds endless possibilities for collaborative innovation

Artificial intelligence (AI) has been rapidly developing in recent years, and its impact is also felt in various fields of space science. It has been recognized that it can be used in astronomy and aerospace, theoretical fields as well as engineering fields.

In straightforward space exploration, AI can be used for autonomous navigation of spacecraft, data analysis, and extraterrestrial life exploration In navigating areas, autopilots and computational navigating systems can be developed to adapt to more complex situations according to their current status AI can further reduce the burden on human controls or conventional pre-programmed software And by better autonomous navigation of spacecraft, direct human maneuver will become unnecessary, allowing the discovery of new information by analyzing space exploration data.

In space development, AI can be used for industrializing space stations, improving space launch vehicles, manufacturing, and construction. As such, AI can automate space stations and their operations to enhance the efficiency of astronauts. Constant overviews and checks can be done by AI to allocate the manpower in the station for more necessary matters. On the ground, AI has a very high chance of reducing space launch costs by developing space launch vehicles. Optimization is a critical factor in these modern days, and AI is perfected to do such tasks Via utilization, rockets can be designed and manufactured to their efficiency limits to cut costs and deliver better performance In space safety, AI can be used for monitoring space debris, predicting space disasters, and preventing collisions between spacecraft. Similar to optimization, prediction of events is also what AI is good at. Thousands of space debris and micro asteroids are increasing exponentially to the limit where conventional methods can not prevent collisions AI, again, has the capabilities to monitor debris and predict collision pathways Thus AI can ensure the safety of spacecraft and strengthen the preparation for space disasters

AI has a variety of potential applications in the field of space science The development of AI will change the future of space science and further develop human space exploration and development

THEFUTUREOF ARTIFICIALINTELLIGENCE

AI DEVELOPMENT ON DIVERSE SECTORS AND THE FUTURE OF HUMANITY ENVISIONING TOMORROW

THE ROAD AHEAD : THE TRANSFORMATIVE IMPACT OF AI IN FUTURE TRANSPORTATION

The rapid development of Artificial Intelligence (AI) has sparked both excitement and apprehension about its potential effects on various aspects of human life. As AI technologies continue advancing, they are poised to revolutionize diverse sectors, ranging from healthcare and education to industry and entertainment How will the development of AI affect the future of human beings in these diverse sectors and what will the opportunities and challenges be?

AI in Healthcare

AI's integration into healthcare promises to transform patient care, diagnosis, treatment, and research AIpowered diagnostic tools, such as image recognition algorithms, can enhance the accuracy of medical imaging interpretation, aiding healthcare professionals in identifying diseases like cancer at earlier stages Moreover, AI-driven predictive analytics can assist in identifying disease outbreaks and potential health risks, enabling timely interventions and preventive measures. In addition to diagnosis, AI-enabled robotic surgery and telemedicine are revolutionizing healthcare delivery. Robots can perform intricate surgeries with precision and minimal invasiveness, while telemedicine platforms facilitate remote consultations, expanding access to medical expertise in underserved areas. However, ethical concerns regarding patient data privacy and the role of human clinicians persist, necessitating careful regulation and oversight.

AI in Industry and Automation

AI-driven automation is reshaping industries by enhancing efficiency, accuracy, and productivity In manufacturing, robots equipped with AI algorithms can perform tasks that are dangerous or repetitive for humans, resulting in higher output and improved workplace safety Supply chain optimization, enabled by AI-powered predictive analytics, reduces operational costs and minimizes disruptions Nonetheless, concerns about job displacement and the need for reskilling the workforce are significant. As AI takes over routine tasks, the workforce must adapt to new roles that involve creativity, problem-solving, and collaboration skills that machines cannot easily replicate.

AI in EDUCATION

The educational landscape is evolving with AIpowered personalized learning platforms. Adaptive learning algorithms analyze students' performance and tailor instructional content to their individual needs, enhancing engagement and knowledge retention. Virtual reality and augmented reality applications provide immersive learning experiences, making complex concepts more accessible. While AI's potential in education is promising, it raises questions about the role of teachers and the risk of perpetuating educational inequalities. Striking a balance between AI-assisted learning and human mentorship is crucial to ensure that the benefits of technological advancements are equitably distributed.

AI in Environmental Conservation

The development of AI has also opened avenues for tackling pressing environmental challenges AI algorithms analyze massive datasets to monitor and predict changes in ecosystems, climate patterns, and biodiversity This information aids in making informed decisions for sustainable resource management and disaster preparedness AI's role in environmental conservation extends to energy efficiency. Smart grids, guided by AI algorithms, optimize energy distribution, reducing waste and carbon emissions. However, as with any technological solution, the environmental impact of AI infrastructure, including energy consumption and electronic waste, should be carefully considered.

AI in ENTERTAINMENT AND CREATIVITY

AI's impact on the entertainment industry is evident in the creation of content, ranging from music and art to video games and films. AI-generated content can be used to complement human creativity, automating repetitive tasks and generating novel ideas. For example, AI algorithms can compose music or create visual art based on learned patterns from existing works. Yet, questions arise about the authenticity and originality of AI-generated content. Can a machine truly replicate the depth of human emotion and creativity? The ethical implications of AI-generated art and its attribution to creators warrant thoughtful reflection.

AI in Ethics and Bias

As AI technologies become more integrated into various sectors, concerns about ethics and bias emerge. AI algorithms learn from historical data, which can perpetuate societal biases present in the data. This is particularly concerning in sectors such as criminal justice, where AI tools are used to predict recidivism or inform sentencing decisions. Efforts to mitigate bias in AI involve diverse and inclusive data collection, algorithm transparency, and ongoing monitoring. Ethical considerations surrounding AI deployment, decision-making accountability, and potential unintended consequences must be at the forefront of AI development.

The development of AI is set to revolutionize diverse sectors and reshape the future of humanity From healthcare and education to industry and entertainment, AI's potential is vast and transformative While opportunities for innovation and progress abound, challenges related to ethics, bias, workforce displacement, and the preservation of human values must be addressed Striking a balance between harnessing AI's capabilities and ensuring human agency remains a crucial task as we navigate this exciting yet complex technological landscape The decisions we make today will shape the trajectory of AI's influence on human society for generations to come.

In this modern era of rapid technological advancement, one innovation stands at the forefront of revolutionizing the world: Artificial Intelligence (AI). As the humanity embarks on a journey into the uncharted territories of the digital age, the impact of AI on our future world cannot be overstated. From transforming industries to redefining the way we interact, AI’s potential to shape society, economy, and individual lives is nothing short of remarkable. In this article, we delve into the intricate web of possibilities that AI brings, exploring its multifaceted role in automating tasks, augmenting human capabilities, and fostering unprecedented levels of innovation. As we navigate this unexplored future, it becomes so clear that AI’s influence transcends mere technological enhancement; it unlocks the future with limitless potential of machine intelligence.

AI Improves the Field of Healthcare and Medical Research

AI's influence on healthcare and medical research is revolutionizing these fields. Through its capacity to analyze extensive medical data swiftly, AI aids in precise disease diagnosis and early detection. The interpretation of complex medical images is expedited, expediting patient care. In drug discovery, AI accelerates the identification of potential candidates, reducing development timelines. The marriage of AI and genomics paves the way for personalized medicine, tailoring treatments to individual genetic profiles. Overall, AI's impact enhances diagnostic accuracy, treatment effectiveness, and medical research efficiency, ushering in a new era of healthcare possibilities.

AI Enhances Personalized Experiences

AI's impact on personalized experiences is profound. By analyzing user data, AI tailors content recommendations, whether in entertainment or shopping, enhancing satisfaction. Virtual assistants empowered by AI provide context-aware interactions, while IoT integration allows devices to anticipate and meet user needs. This blend of data-driven customization and seamless interactivity elevates the user experience, making technology more attuned to individual preferences and lifestyles.

AI Revolutionizes Education

AI's revolution in education is palpable Adaptive learning platforms leverage AI algorithms to tailor lessons to individual students' strengths and weaknesses, enhancing engagement and comprehension. Automated grading and assessment streamline educators' tasks, providing timely feedback. Language processing AI facilitates personalized language learning. Moreover, AIpowered tools enable real-time data analysis, assisting institutions in identifying areas for improvement. As AI continues to evolve, education becomes more personalized, efficient, and accessible, preparing students for a future where learning is truly adaptive and engaging.

AI Makes Advancements in Agriculture

AI's influence in agriculture is transforming this age-old industry. With the integration of sensors, drones, and satellite imagery, AI enables precise monitoring of crops, soil, and weather conditions. Predictive analytics and machine learning models aid in disease detection and yield forecasting, allowing farmers to make informed decisions. Automated machinery driven by AI optimizes planting, irrigation, and harvesting, enhancing efficiency. Furthermore, AI-powered systems manage resources like water and fertilizer more effectively, promoting sustainable practices. In a world with a growing population, AI-driven agricultural advancements play a pivotal role in ensuring food security and efficient resource management.

In a world of constant innovation, Artificial Intelligence (AI) emerges as a guiding force toward an extraordinary future. Looking across various fields, from healthcare to education and agriculture, the impact of AI is clear. It's helping diagnose illnesses earlier, personalizing learning, and even making farming more efficient and sustainable. The blend of human creativity and AI's power has created a future full of tailored experiences, medical advancements, and smart agriculture. As we step into this new era, the possibilities are vast, and AI's potential is only limited by our imagination. This journey is about working together to shape a future where AI enhances our lives in ways we've never seen before.

The Road Ahead: The Transformative Impact of AI in Future

Transportation

How AI is Revolutionizing Mobility Today and Tomorrow

The landscape of transportation is undergoing a profound transformation, and at the forefront of this revolution lies Artificial Intelligence (AI). As AI technology becomes increasingly integrated into various aspects of our lives, its influence on transportation is particularly remarkable. From self-driving cars that navigate the streets autonomously to smart traffic management systems that optimize urban mobility, AI is reshaping the way we move. The substantial impact of AI on future transportation is akin to discovering a new dimension of mobility.

The idea of autonomous vehicles was once confined to the realms of science fiction Today, it is becoming an increasingly tangible reality Companies like Tesla, Waymo, and Uber are leading the charge, developing self-driving cars that can navigate complex urban environments and highways without human intervention These vehicles rely on fusion of AI technologies, including computer vision, sensor data analysis, and machine learning algorithms, that enable them to perceive their environment and make real-time decisions autonomously Self-driving cars enhanced safety through reduced human error, potentially revolutionizing the way we travel and drastically decreasing the number of accidents caused by distracted or impaired driving.

AI’s impact on transportation extends beyond passenger travel to encompass the maintenance of vehicles themselves. For example, airlines are utilizing AI-driven predictive maintenance to analyze data from aircraft sensors, predicting when components might fail and allowing for preemptive maintenance to prevent costly breakdowns and delays. This approach enhances safety, increases operational efficiency, and reduces maintenance-related disruptions, resulting in smoother travel experiences for passengers.

Congestion and traffic jams have long been the bane of urban dwellers AI is stepping in to alleviate these issues through smart traffic management systems For instance, Singapore’s ‘Smart Mobility 2030’ initiative integrates AI and data analytics to optimize traffic flow The city-state employs sensors and cameras to collect real-time data, enabling AI algorithms to predict traffic patterns and suggest alternate routes, thereby reducing congestion and travel time Such systems not only improve the efficiency of transportation networks but also contribute to minimizing the carbon footprint associated with idling vehicles.

From self-driving cars that hold the potential to reshape our daily commutes to smart traffic management systems that untangle urban congestion, AI is propelling transportation into a new era. As we witness these advancements taking shape in the present, it is clear that the road ahead is paved with innovation and the relentless pursuit of better ways to move, connecting us to a future where transportation is not just a necessity, but a seamless, intelligent experience.

2023.08.21 20139 Seoyoon Won swon1359@gmail.com

WORKS CITED

AI SOLUTIONS FOR REDUCING CARBON EMISSIONS - SEOYOON WON

“CausesandEffectsofClimateChange ”UnitedNations,UnitedNations,www un org/en/climatechange/science/causes-effects-climate-change Accessed 29Aug.2023.

Frąckiewicz,Marcin “TheRoleofArtificialIntelligenceinClimateModelingandPrediction ”TS2SPACE,11May2023,ts2 space/en/the-role-of-artificialintelligence-in-climate-modeling-and-prediction/ Ma,Michelle.“ThisAlGore-BackedCoalitionIsTryingtoHoldClimatePollutersAccountable.”Protocol,Protocol,28July2022, www protocol com/climate/climate-trace-al-gore-emissions NSNordics.“TheRoleofArtificialIntelligenceinOptimizingEnergyEfficiencyinDataCenterConstruction.”NSNordics,16July2023, nsnordics.com/blog/the-role-of-artificial-intelligence-in-optimizing-energy-efficiency-in-data-center-construction/. Ramirez,VanessaBates “ThisGoogle-FundedProjectIsTrackingGlobalCarbonEmissionsinRealTime ”SingularityHub,24Sept 2021, singularityhub.com/2021/09/24/google-funded-and-al-gore-co-founded-the-worlds-first-independent-co2-emissions-database/. Rees,Katie.“5WaysAiCanHelpFightClimateChange.”MUO,20Apr.2023,www.makeuseof.com/ways-ai-help-fight-climate-change/. Salehi,Majid “RevolutionizingSustainability:HowAi-PoweredEnergyEfficiencyTransformsIndustriesandFuelsGreenGrowth ”LinkedIn,10Apr 2023, www.linkedin.com/pulse/revolutionizing-sustainability-how-ai-powered-energy-fuels-salehi/.

Vernaillen,Alison “6WaysAICanHelpReduceCarbonEmissions ”Sustamize,8June2023,www sustamize com/blog/6-ways-ai-can-help-reduce-carbonemissions

REVOLUTIONIZING AI:

ELON MUSK’S XAI INITIATES PAVING THE WAY FOR ETHICAL AND TRANSPARENT AI -

SHIHWAN KIM

Henshall,Will “Xai:WhattoKnowaboutElonMusk’sNewAICompany ”Time,Time,17July2023,time com/6294278/elon-musk-xai/ Field,Hayden.“ElonMuskLaunchesHisNewCompany,Xai.”CNBC,CNBC,12July2023,www.cnbc.com/2023/07/12/elon-musk-launches-his-newcompany-xai.html.

THE RISE OF AI:

DEEPFAKE IN MEDIA WORLD - CHANSOL YANG Jaiman,Ashish.“DebatingtheEthicsofDeepfakes.”ORF,www.orfonline.org/expert-speak/debating-the-ethics-of-deepfakes/.Accessed12July2023. Thompson,StuartA “MakingDeepfakesGetsCheaperandEasierThankstoA I ”TheNewYorkTimes,12Mar 2023, www.nytimes.com/2023/03/12/technology/deepfakes-cheapfakes-videos-ai.html.

MACHINE LEARNING VS DEEP LEARNING - WOOYEONG KIM

Decher,Davina.“Ai,MachineLearning,DeepLearning-BuzzwordsExplained.”LengooBlog,Lengooblog,2June2021,www.lengoo.com/blog/aibuzzwords/ “WhatIsMachineLearning?”IBM,www.ibm.com/topics/machine-learning.Accessed31Aug.2023.

OBSERVING THE DISTANT COSMOS: TECHNIQUES FOR DEEP SPACE EXPLORATION - WOOYEONG KIM

“Artificial Intelligence at Northwestern ” Use of AI in Astronomy: Artificial Intelligence at Northwestern - Northwestern University, ai.northwestern.edu/research-applications/use-ai-in-research-exploration/use-of-ai-in-astronomy.html. Accessed 31 Aug. 2023. Artificial Intelligence Is Speeding up Astronomy - Axios, www.axios.com/2023/05/09/artificial-intelligence-astronomy. Accessed 31 Aug. 2023

Biswal, Avijeet “Top 18 Artificial Intelligence (AI) Applications in 2023: Simplilearn ” Simplilearn Com, Simplilearn, 21 Aug 2023, www.simplilearn.com/tutorials/artificial-intelligence-tutorial/artificial-intelligenceapplications#what are the applications of artificial intelligence.

Pearson, W J Effect of Galaxy Mergers on Star-Formation Rates, 19 July 2019, www aanda org/articles/aa/pdf/2019/11/aa36337-19 pdf

Salian, Isha “Deep Learning AIDS Astronomers Studying Galaxies ” NVIDIA Blog, 14 Dec 2022, blogs nvidia com/blog/2019/10/04/aimerging-galaxies/.

ARTIFICIAL INTELLIGENCE TREATS HUMANS’ FEAR - JENNY IN

Pic 1. A girl covering her face with hands, and a hand reaching to her. Credit: Image by Gerd Altmann from Pixabay

Pic 2. Hands of human and robot touching each other. Credit: Image by Gerd Altmann from Pixabay VandenBos, Gary R. Apa Dictionary of Psychology. American Psychological Association, 2015.

THE ROAD AHEAD: THE TRANSFORMATIVE IMPACT OF AI IN FUTURE TRANSPORTATION - SEOYOON WON

Admin. “Ai in Transportation.” Intellect Data, 21 June 2023, intellectdata.com/ai-in-transportation/. Gray, Catherine “Four Ways Ai Is Transforming the Transportation Industry ” AI Magazine, 1 Apr 2022, aimagazine com/data-andanalytics/four-ways-ai-is-transforming-the-transportation-industry

“How Is Artificial Intelligence Used to Solve Traffic Management?” LinkedIn, 27 Apr. 2023, www.linkedin.com/pulse/how-artificialintelligence-used-solve-traffic-management-yamini-m.

Keong, CHIN Kian, and Grace ONG. “Smart Mobility 2030 – ITS Strategic Plan for Singapore.” Nov. 2015. Nur, Nurdianah Md “Driving into a Smart Mobility Future - the Edge Singapore ” The Edge, 4 Aug 2022, www.theedgesingapore.com/digitaledge/digital-economy/driving-smart-mobility-future.

Thomas, Mike. “The Future of AI: How Artificial Intelligence Will Change the World.” Built In, builtin.com/artificial-intelligence/artificialintelligence-future. Accessed 29 Aug. 2023.

“What Is an Autonomous Car? – How Self-Driving Cars Work ” Synopsys, www synopsys com/automotive/what-is-autonomous-car html Accessed 29 Aug. 2023.

Publication: COSMOS (HAFS)

Editor: Shihwan Kim, Wooyeong Kim, Hajin Ra

“Some people call this artificial intelligence, but the reality is this technology will enhance us. So instead of artificial intelligence, I think we’ll augment our intelligence.”

—Ginni Rometty