Krupa Padhy uncovers how we really learn foreign languages – in a dual challenge involving both Portuguese and Mandarin.

Discover Experiential Reinforcement Learning (ERL), a revolutionary AI training paradigm that allows language models to learn from their own reflections, turning failure into structured wisdom without ...

Does cloud-free AI have the cutting-edge over data processing and storage on centralised, remote servers by providers like ...

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...

As work changes faster than org charts job architecture offers a shared language for workforce planning career paths and AI ...

Netflix (and its rivals) are amplifying international film and TV on a scale never before seen – but how can we get the most ...

In DigitalOcean’s 2026 Currents research report, 60% of respondents say applications and agents represent the greatest ...

If emotion functions as an operating system of silicon-based life, its implications extend far beyond robots. It defines not a feature category, but a new computing paradigm: any device that senses, ...

By Yangchula Bhutia Georgios Bouloukakis, University of Patras; Institut Mines-Télécom (IMT) “Edge computing”, which was ...

There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.

Multiplier tasks involve activities humans can already perform but accelerate with AI, such as summarization or translation. Enabler tasks allow previously inaccessible creative production, such as ...

Explore how machine learning in insurance enhances risk assessment, fraud detection, and personalization. ✓ Subscribe for ...