AI & Machine Learning

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Definitions

Also see the Glossary on this site

Artificial Intelligence (AI)

the theory and development of computer systems that are able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, learning, decision-making, and natural language processing

-- IEEE.org

Open Source AI

• OpenAI an AI research and deployment company
• 50 top open source AI projects
• TechCrunch article about OpenAI's ChatGPT
• Leading open AI projects

Machine Learning (ML)

In general, ML is the use of computer algorithms that can learn and adapt from processing digital data.

--Rohit Sharma in Introduction to TinyML

Deep Learning (DL)

[a subfield of ML] that relies heavily on neural networks to process data and produce results

--Rohit Sharma in Introduction to TinyML

TinyML

Tiny machine learning is broadly defined as a fast growing field of machine learning technologies and applications including hardware, algorithms and software capable of performing on-device sensor data analytics at extremely low power, typically in the mW range and below, and hence enabling a variety of always-on use-cases and targeting battery operated devices.

--The TinyML Foundation

References

• TinyML book homepage (with videos & large sample PDF)
  • TinyML book on Amazon
• New thoughts on number representation for ML - article
• TinyML Cookbook
• Introduction to TinyML

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