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 ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

AI is being used to replicate the human self, and without radical changes in human nature, the world will continue to be ...

Industry leaders outline how advances in MS, affinity platforms, sample preparation, AI-driven analysis, and data standardization are transforming proteomics. These innovations are enabling deeper and ...

Generative AI in medtech raises questions on safety, validation, and regulatory challenges, explored in MD&M West's "GenMLP" session.

Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...

Knowing how to talk to AI" is no longer enough. To stay relevant, developers and workers must master the systematic ...

In 1854, London was struck by a devastating cholera outbreak. Public authorities responded using the best tools and scientific understanding available at the time.Disease was widely believed to spread ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting expertise.From neural networks to N ...

Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices ...