We’ve gotten pretty good at building machine learning models. From legacy platforms like SAS to modern MPP databases and Hadoop clusters, if you want to train up regression or classification models, ...

In this special guest feature, Neil Cohen, Vice President at Edge Intelligence, examines the question: where should businesses develop and execute machine learning? This article explores the pros and ...

With so many machine learning projects failing to launch – never achieving model deployment – the ML team has got to do everything in their power to anticipate any impediments to model ...

Cupertino-based Apple doesn't talk publicly about AI acquisitions and has generally been tight-lipped about its overall strategy in the space, including its longstanding internal R&D in AI, even as ...

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation.

AWS Lambda provides a simple, scalable, and cost-effective solution for deploying AI models that eliminates the need for expensive licensing and tools. In the rapidly evolving landscape of artificial ...

Machine learning might be the world’s most important general-purpose technology, but it’s notoriously difficult to launch. Outside of Big Tech and a handful of other leading companies, machine ...

Overview: NVIDIA’s H100 and A100 dominate large-scale AI training with unmatched tensor performance and massive VRAM capacity ...

Monkton Inc. Hires Dr. Johnathan Jordan as Chief Data Officer to Lead AI and Machine Learning Thought Leadership ...

Open Climate Fix says its Quartz Solar tool saves Great Britain’s grid operator GBP 30 million ($39 million) per year through more accurate forecasting, which reduces the reserve capacity needed for ...