I love locking in a cheap subscription deal during a discount period like Cyber Monday. It always feels like I've gotten away with something — for the rest of the year, I can relax in my Scrooge ...

Many students struggle to understand complex STEM concepts because lectures and textbooks often make science difficult to ...

Artificial intelligence systems that are designed with a biologically inspired architecture can simulate human brain activity before ever being trained on any data, according to new research from John ...

Raspberry Pi has long been a proving ground for creative hacks that stretch low-cost hardware far beyond its original brief, ...

By training vision-language models on large numbers of radiological images and their written radiology reports, the hope is ...

Alibaba's Qwen team published the Qwen3-VL technical report on November 26, providing detailed documentation of the open-source vision-language model that first launched in September. The 64-author ...

A new AI dataset teaches machines to smell by associating smell data with images, letting models match odors to objects, ...

The AI industry is staking its future on language models. But LLMs, an expert argues, are fundamentally incapable of being intelligent.

Abstract: Visual Question Answering (VQA) aims to answer questions utilizing information from both textual and visual modalities. New data categories and novel combinations of the two modalities will ...

Azure Copilot’s six new AI agents assist with a wide range of Azure cloud management tasks, either on their own or working ...

AI-Driven Visual Intelligence forms a critical cornerstone of both computer vision and artificial intelligence, serving ...

Abstract: One advancing machine-learning-based analysis approach for multivariate time-series data is representing data as a third-order tensor and then applying dimensionality reduction (DR) methods.