The first step to a successful ML project is to understand that these projects require different processes, terminology, workflows, and tools than those needed by traditional development. Written by ...

Suvendu Mohanty changed from software to ML engineering before the AI boom. Here's how he made the switch — and his advice ...

Driven by curiosity, he took free online resources and joined hackathon projects. “That got my manager's attention. He hadn't thought about it, but he told me, ‘Since you're doing machine learning, we ...

The landscape of machine learning engineering has evolved dramatically over the past decade, with organizations increasingly demanding scalable, production-ready solutions that deliver measurable ...

For many surgeons, the possibility of going back into the operating room to review the actions they carried out on a patient could provide invaluable medical insights. Using a mix of PyTorch, a ...

Presenting you with a multi-tasking, all-in-one GPU, NVIDIA RTX 3090. So starting from Tensor cores to some awesome features like real-time ray facing, this GPU has it all. Solving research and data ...

The VP and managing director of Apple Greater China, Ge Yue, talked about Apple's new machine learning project at the 2022 World Artificial Intelligence Conference in Shanghai. Yue pointed out the ...

The Department of Homeland Security is seeking cloud-related information to support an analytics and machine learning research and development project that’s in the works for the Cybersecurity and ...

In a major product refresh, DataRobot Inc. today debuted a new edition of its platform for building artificial intelligence models that it says will enable enterprises to develop machine learning ...