Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...

Industrial AI deployment traditionally requires onsite ML specialists and custom models per location. Five strategies ...

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

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...

Physical artificial intelligence (PAI) refers to AI systems that can perceive, understand, reason about, and interact with ...

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...

Artificial intelligence is increasingly used as a tool in many health care settings, from writing physicians' notes to making ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Nature’s annual list of technologies to watch is a chance to celebrate progress and stimulate research into both ...

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

Materials research generates vast amounts of data, but the information often exists in manufacturer-specific formats and the terminology is inconsistent, making it difficult to aggregate, compare, and ...

Understanding how the brain anticipates future states and transmits or reconstructs information remains a central challenge in neuroscience. This Research ...