MIT News – Artificial intelligence Explaining the behavior of trained neural networks remains a compelling puzzle, especially as these models grow in size and sophistication. Like other scientific challenges throughout history, reverse-engineering how artificial intelligence systems work requires a substantial amount of experimentation: making hypotheses, intervening on behavior, and even dissecting large networks to examine […]Continue reading
MIT News – Artificial intelligence Artificial neural networks, ubiquitous machine-learning models that can be trained to complete many tasks, are so called because their architecture is inspired by the way biological neurons process information in the human brain. About six years ago, scientists discovered a new type of more powerful neural network model known as […]Continue reading
AWS Machine Learning Blog With the advent of high-speed 5G mobile networks, enterprises are more easily positioned than ever with the opportunity to harness the convergence of telecommunications networks and the cloud. As one of the most prominent use cases to date, machine learning (ML) at the edge has allowed enterprises to deploy ML models […]Continue reading
MIT News – Artificial intelligence Neural networks, a type of machine-learning model, are being used to help humans complete a wide variety of tasks, from predicting if someone’s credit score is high enough to qualify for a loan to diagnosing whether a patient has a certain disease. But researchers still have only a limited understanding […]Continue reading
NIMH News Feed A recent study of gene networks may hold some promising clues about shared mechanisms underlying autism spectrum disorder and congenital heart disease, two physiologically distinct disorders that often co-occur. Go to Source March 17, 2022 – 9:03 pm /National Institute of Mental Health Twitter: @hoffeldtcom
