Unite.AI

JULY 7, 2023

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.

Explainable AI 263

Explainable AI Explainability Machine Learning Computer Scientist 263

IBM Journey to AI blog

JULY 6, 2023

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.

Data Science 175

Data Science Machine Learning Big Data Data Mining 175

IBM Journey to AI blog

AUGUST 11, 2023

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.

Data Science 170

Data Science DevOps Machine Learning Data Scientist 170

Marktechpost

AUGUST 24, 2023

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.

Artificial Intelligence 97

Artificial Intelligence Artificial Intelligence Machine Learning Computer Vision 97

Viso.ai

MARCH 26, 2024

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.

Computer Vision 52

Computer Vision Neural Network Machine Learning Convolutional Neural Networks 52