Eben Upton teases what the next Raspberry Pi silicon could do in a recent talk given at the tinyML Summit 2021…

How we overhauled our animation workflow with machine learning, teaching physically-based AI-agents to walk on their own.

Machine learning has achieved tremendous success in a variety of domains in recent years. However, a lot of these success stories have been in places where the training and the testing distributions are extremely similar to each other. In everyday situati…

Discussing applications of ML in theory is much different than actually applying ML models at scale in production. Here’s the four biggest challenges ML and data teams face and how to solve them.

The reason why there are no androids on the streets, indistinguishable, mistaken for humans, is because sometimes we take for granted that many things can be simpler than they appear and the idea of ​​an Artificial Mind is one of those engineering challen…

As machine learning continues to evolve, transforming the various industries it touches, it has only begun to inform the world of audit. As a data scientist and former CPA Auditor, I can understand why this is the case. By nature, auditing is a field that…

With no well-specified rewards and state transitions that take place in a myriad of ways, training a robot via reinforcement learning represents perhaps the most complex arena for machine learning.

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Using machine learning to differentiate your product is like driving a fancy sports car to stand out when picking someone up for a date.