Dr. Greg Watson announces a new session of his course, “Ethics in the Workplace,” set to launch for members of the Ford ASSET Program. This course is a crucial part of the program and is designed to ...

The start of what organizers hope will be an ongoing conversation around building a thriving, ecologically sustainable ...

Deep reinforcement learning (DRL) and deep multiagent reinforcement learning (MARL) have achieved significant success across a wide range of domains, including game artificial intelligence (AI), ...

This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scratch ...

This study bridges the gap between deep learning and machine learning features and discusses a deep-learning-based approach to finding vulnerabilities in code using code metrics.

Hivemind: decentralized deep learning in PyTorch Hivemind is a PyTorch library for decentralized deep learning across the Internet. Its intended usage is training one large model on hundreds of ...

He launched a collaboration in 2018 with two AI experts at MIT to develop deep learning models that can screen chemicals for antibiotic activity.

So, you want to learn a new skill—playing tennis, speaking Chinese, or playing the violin. You’ve probably heard about the importance of developing muscle memory, or that it takes 10,000 hours ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...