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Explainable AI Using Expressive Boolean Formulas

Unite.AI

While AI exists to simplify and/or accelerate decision-making or workflows, the methodology for doing so is often extremely complex. Indeed, some “black box” machine learning algorithms are so intricate and multifaceted that they can defy simple explanation, even by the computer scientists who created them.

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Data science vs. machine learning: What’s the difference?

IBM Journey to AI blog

This led to the theory and development of AI. IBM computer scientist Arthur Samuel coined the phrase “machine learning” in 1952. In 1962, a checkers master played against the machine learning program on an IBM 7094 computer, and the computer won. He wrote a checkers-playing program that same year.

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MLOps and the evolution of data science

IBM Journey to AI blog

The advancement of computing power over recent decades has led to an explosion of digital data, from traffic cameras monitoring commuter habits to smart refrigerators revealing how and when the average family eats. Both computer scientists and business leaders have taken note of the potential of the data.

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15 Artificial Intelligence (AI) And Machine Learning-Related Subreddit Communities in 2023

Marktechpost

r/compsci Anyone interested in sharing and discussing information that computer scientists find fascinating should visit the r/compsci subreddit. This contains a lot of posts about AI. r/AIethics Ethics are fundamental in AI. r/AIethics has the latest content on how one can use and create various AI tools ethically.

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AI in Finance – Top Computer Vision Tools and Use Cases

Viso.ai

Privacy-preserving Computer Vision with TensorFlow Lite Other significant contributions include works by Andrew Ng. This computer scientist and technology entrepreneur has extensively researched AI and machine learning’s impact on finance.