For decades, psychologists have argued over a basic question. Can one grand theory explain the human mind, or do attention, ...

This article presents challenges and solutions regarding health care–focused large language models (LLMs) and summarizes key recommendations from major regulatory and governance bodies for LLM ...

The rapid adoption of Large Language Models (LLMs) is transforming how SaaS platforms and enterprise applications operate.

What the firm found challenges some basic assumptions about how this technology really works. The AI firm Anthropic has developed a way to peer inside a large language model and watch what it does as ...

Large language models (LLMs) leverage unsupervised learning to capture statistical patterns within vast amounts of text data. At the core of these models lies the Transformer architecture, which ...

The left boxes illustrate three steps of clinical trial design and their specific contents, in the following top-to-bottom order: establishment of the research background and objectives, protocol ...

Cybersecurity today faces a key challenge: It lacks context. Modern threats—advanced persistent threats (APTs), polymorphic malware, insider attacks—don’t follow static patterns. They hide in plain ...

India has nearly 1.4 billion people and is one of the most linguistically diverse countries in the world, with more than 1,500 languages and dialects spoken across different regions. For AI systems ...

Sarvam Edge supports 10 major Indian languages for speech recognition and text-to-speech, while translation covers 11 languages (including English) across 110 language pairs.