Logical fallacies shaping AI governance debatesRhetorical devices distort tech policy and public trustBias in AI systems ...

It consumes immense power but offers solutions through automated hardware design and optimized infrastructure workflows.

Large language models (LLMs) can teach other algorithms unwanted traits, which can persist even when training data has been ...

This issue of Transforming Care looks at how employees of health care systems are working to make AI useful while also ...

To this day, in the known universe, only one example exists of a system capable of general-purpose intelligence. That system ...

AI in cybersecurity is essential to keep pace with bad actors and plug skills gap. Experts who could manage antivirus firewalls sufficed.

Why AI Governance needs a new take? This recent interesting article pointed out that the chat interface is becoming obsolete ...

You gotta build a "digital twin" of the mess you're actually going to deploy into, especially with stuff like mcp (model context protocol) where ai agents are talking to data sources in real-time.

No board would hire a senior executive and skip the 90-day review. Here's why AI shouldn't be treated any differently.

A plane ticket jumps in price after a second search. A streaming service offers one customer a deal that never appears for ...

History is rife with examples of the Jevons paradox at work. Increased fuel efficiency in automobiles lowered the cost of ...

Eon Systems mapped the brain of a fruit fly and simulated its behaviour on a computer. The company ultimately aims to map the ...