A new machine learning training method developed at U of T Engineering enables neural networks to learn directly from human-defined rules, opening new possibilities for artificial intelligence in fields from medical diagnostics to self-driving cars...

As artificial intelligence becomes increasingly intelligent---in some cases, achieving superhuman performance---there is growing potential for humans to learn from and collaborate with algorithms. However, the ways in which AI systems approach problems ar... (more…)

The time has come, said Re, for AI scientists to focus on higher-level tasks such as bringing domain expertise to AI rather than twiddling hyper-parameter settings of neural networks. (more…)

Microsoft open-sourced Zero Redundancy Optimizer version 2 (ZeRO-2), a distributed deep-learning optimization algorithm that scales super-linearly with cluster size. Using ZeRO-2, Microsoft trained a 100-billion-parameter natural-language processing (NLP)... (more…)

For many companies, deploying A.I. is slower and more expensive than it might seem... (more…)