The timing of breakfast in older adults is crucial; later meals are associated with health risks and shorter survival, ...

Google DeepMind, Alphabet Inc.’s artificial intelligence research arm, today announced the rollout of Gemini 2.5 Deep Think, a new creative problem-solving AI model. The company stated the model is ...

This article considers the problem of inference for nested least squares averaging estimators. We study the asymptotic behavior of the Mallows model averaging estimator (MMA; Hansen, 2007) and the ...

Word problems are often described as “math stories” and can put complex mathematical operations into a more approachable form for students. But students often struggle when they see a combination of ...

Linear complementarity problems (LCPs) constitute a salient class of mathematical models wherein one seeks vectors that fulfil mutually exclusive non-negativity and orthogonality conditions relative ...

Abstract: Certain linear matrix operators arise naturally in systems analysis and design problems involving cascade interconnections of linear time-invariant systems, including problems of ...

In March 2021, one of the world’s biggest container ships, the Ever Given, got stuck in the Suez Canal. The ordeal lasted for six days, but the consequences extended far beyond that. A CNBC article ...

Reasoning models, such as Anthropic's Claude, OpenAI's o3 and DeepSeek's R1, are specialized large language models (LLMs) that dedicate more time and computing power to produce more accurate responses ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. The hype around generative AI (GenAI) is undeniable. Tools like ChatGPT have captivated the ...

Word problems try and tell students a story about the math problem in front of them. They are a useful way to connect abstract numbers to concrete situations, so students can learn early on to apply ...