Artificial Intelligence and Its Features

8/29/2019

Artificial Intelligence and Its Features - usm systems - Medium

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8/29/2019

Artificial Intelligence and Its Features - usm systems - Medium

Artificial intelligence is a way of training computers and machines to behave like humans and the processes that these machines perform are similar to the human brain.

Different use cases for AI and its implementation: Natural language processing: machines and computers can detect human speech, convert them to machine commands, and return output. NLP has many use cases and can be implemented in home/building automation equipment.

Computer games: They compete with humans in relation to programming machines and computers. Eg. In chess, the computer detects the next movement, based on human movements, while the AI performs back-end processing.

Smart Toys / Robotics: Next-gen smart toys act like a bot and respond to what children talk about. It can be heard and seen in the same way that a human can see it (image recognition).

Image Recognition: https://medium.com/@usmsystems23/artificial-intelligence-and-its-features-a5e8ba85d3e9

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Artificial Intelligence and Its Features - usm systems - Medium

The best use is in a new connected car that captures all the new images (360-degree view) of the case, identifies obstacles and processes them in the back-end, thus preventing the car from colliding with the vision.

AI is a technology that deals with computer science, which directs the creation of intelligent machines that act and behave like humans.

Some examples of artificial intelligence are: 1. speech recognition 2. Learning 3. Plan 4. Troubleshooting Problems Some artificial intelligence applications such as a computer can beat the world chess champion and understand voice commands on a smartphone, but the real AI has not come up yet. The pace of change is fast.

Some say it protects humanity. https://medium.com/@usmsystems23/artificial-intelligence-and-its-features-a5e8ba85d3e9

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Artificial Intelligence and Its Features - usm systems - Medium

Others say it can completely destroy us.

Without the real advent of AI, we cannot imagine the reality.

The market for AI technologies is booming. In addition to the hype and high media focus, many start-ups and internet biggies are racing to earn them; There has been a great increase in enterprise investment and adoption Designed in 1955 to describe a new discipline in the field of computer science, “Artificial Intelligence” today applies a variety of technologies and tools, some with time, and some with new ones. To help you understand what’s hot and what’s not, Forrester recently published the Techradar Report on Artificial Intelligence, a detailed assessment of 13 tech companies that must support human decision making.

Here we share a list of the best AI technologies: (1) AI-optimized hardware: Graphics processing units and equipment designed and created to run AIbased computational jobs. This, for now, makes a difference in mainly deep learning applications. https://medium.com/@usmsystems23/artificial-intelligence-and-its-features-a5e8ba85d3e9

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Artificial Intelligence and Its Features - usm systems - Medium

Sample vendors: IBM, Alluviet, Cray, Google, Intel, Nvidia.

(2) Deep Learning Space: A special type of machine learning that involves multiple layers of artificial neural networks. It is now used primarily in identifying patterns and applications for classification supported by large data sets.

Sample vendors: Ersatz Labs, Fluid AI, MathWorks, Peltarian, Deep Instinct, Saffron Technology, Sentient Technologies.

(3) Biometrics: It facilitates more natural interactions between humans and machines that involve the identification of image and touch, speech and gesture. It is now used in market research.

Sample vendors: Affetiva, Agnatio, FaceFirst, Sensory, 3R, Sinkera, Tahju.

(4) Robotic Process Automation:

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They use scripts and different methods to automate human activity to support business processes.

Sample vendors: Automation Anywhere, Advanced Systems Concepts, Blue Prism, UIpath, Workfusion.

(5) Text Analytics and NLP: Natural language processing or NLP utilizes and supports text analytics by helping to understand sentence structure and meaning, sentiment and purpose through statistical and machine learning techniques. Currently, applications for fraud detection and security, widespread automated assistance and mining data are not well structured.

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