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

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...

Summary: Edge AI is shifting AI inference away from expensive cloud data centers and onto local devices. As this transition ...

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...

Instead of manually placing every switch, buffer, and timing pipeline stage, engineers can now use automation algorithms to ...

Training gets the hype, but inferencing is where AI actually works — and the choices you make there can make or break ...

Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...

Can AI learn without forgetting? Explore five levels of continual learning and the stability-plasticity tradeoff to plan better AI roadmaps.

GenAI isn’t magic — it’s transformers using attention to understand context at scale. Knowing how they work will help CIOs ...

Abstract: The Wafer Acceptance Test (WAT) is a significant quality control measurement in the semiconductor industry. However, because the WAT process can be time-consuming and expensive, sampling ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Here are the highlights of the year’s AI breakthroughs and discoveries that could set the stage for an even more game-changing 2026.