MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

Learn how to find and make the best use of valuable insights buried in your company’s databases.

Companies are trying to wean staff off Excel spreadsheets to centralise control of their data.

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

Visionary AI Pioneer Highlights Personalized Learning's Promise as He Warns of Broader Risks ...

By Vlad Vaiman Artificial intelligence may be the most significant workforce revolution since the advent of electricity. But whereas earlier automation displaced human muscle with machines, today’s ...

A multi-cloud strategy involves spreading your application workload across multiple cloud providers, rather than relying solely on a single one. It's about keeping your options open. With a ...

For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...

AI prioritizes clinical trials by identifying unmet medical needs, optimizing resource allocation, and focusing on conditions ...

AI models can process thousands of factors simultaneously, including demand signals across multiple items, macroeconomic ...

AI has the potential to accelerate operations, but this raises a new challenge: how to keep humans in the loop when AI can ...

Discover the skill that sets AI power users apart. Align AI style with your skills, helping teams cut errors and reach solid outcomes.