A study on visual language models explores how shared semantic frameworks improve image–text understanding across multimodal tasks. By ...

A study shows radiologists inconsistently identify AI-generated x-rays, highlighting emerging risks for clinical decision-making and data integrity.

A US robotics startup says its latest AI model can guide robots to perform ...

The researchers argue that traditional centralized learning platforms are no longer equipped to handle the scale, speed, and ...

Clicks are declining, but utility content still builds visibility and trust. Here’s how to adapt your newsroom strategy for ...

Zapier reports that while AI computer agents like Claude and ChatGPT can now control computers, safety concerns persist.

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Retailers are reshaping the shopper journey with AI-powered tools, and like everything else about this tech, it’s happening ...

Previously trained with text-based data, the AI is now a model that learns from videos and real-world simulations.

Target identification is the first and perhaps most critical step in drug discovery and development. Although the human genome contains roughly 20,000 protein-coding genes, only about 4,500 are ...

At MWC 2026, Huawei released its AIDP. This platform integrates a knowledge base, KV cache acceleration, and a memory bank, and uses the Unified Cache Manager (UCM) to manage and schedule inference ...

AI infrastructure is evolving as enterprises build domain-aware systems with orchestration, continuous evaluation, and ...