Browsing: Artificial Intelligence (AI)

As AI agents transform enterprises, the looming threat of agentic chaos demands robust data foundations for reliable, scalable operations.

Many enterprise AI initiatives stall at pilot phase due to infrastructure bottlenecks. Composable and sovereign AI architectures offer greater scalability and data control for production.

A new approach sees biologists treating large language models (LLMs) like alien organisms to understand their complex, often inscrutable internal workings and behaviors.

As AI scales, hyperscale data centers emerge as critical infrastructure, presenting both immense potential and significant challenges in energy and cooling.

Mechanistic interpretability, a 2026 breakthrough, provides crucial tools to understand AI’s opaque LLMs, addressing limitations and enhancing safety.

The surge in AI companions offers emotional support but raises ethical and safety concerns, pushing for urgent regulation in 2026.

Generative coding emerges as a top breakthrough technology in 2026, transforming software development and challenging traditional roles.

At CES 2026, Chinese tech firms showcased unprecedented AI and robotics innovation, challenging Western perceptions and fueling optimism for their global market ascendancy.

Large Language Models rely on billions of parameters to learn and generate human-like text. Unpacking these numerical ‘dials’ reveals how AI truly functions.

Fundamental uncertainties surrounding AI’s trajectory, public perception, and regulatory confusion make accurate forecasts increasingly difficult.