Small medtech companies can leverage AI without huge investments to compete with major manufacturers using targeted ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

These developments suggest AI’s impact on materials R&D is as much organisational as it is technical, shifting labs toward ...

Modern vision-language models allow documents to be transformed into structured, computable representations rather than lossy text blobs.

Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...

Protein scientists could improve reproducibility and coordination across the field by rallying around a small, shared set of ...

The new technique is called CLASSIC, an acronym for “combining long and short range sequencing to investigate genetic ...

There are hundreds of cell types in the human body, each with a specific role spelled out in their DNA. In theory, all it ...

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world. Barbara is a tech writer specializing in AI and emerging technologies. With a ...

Abstract: Creating aesthetically pleasing data visualizations remains challenging for users without design expertise or familiarity with visualization tools. To address this gap, we present DataWink, ...