Once a model is deployed, its internal structure is effectively frozen. Any real learning happens elsewhere: through retraining cycles, fine-tuning jobs or external memory systems layered on top. The ...

As countries compete to build ever larger AI models, India is choosing a different path. “We are not…into the race for ...

Too many GPUs makes you lazy,” says the French startup’s vice president of science operations, as the company carves out a ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...

Modern physics relies on "Dark Energy," "Dark Matter," and over 20 arbitrary tuning parameters to explain the universe. A comprehensive AI-driven audit performed by Gemini Pro on 20 technical papers ...

At CES, what stood out to me was just how much Nvidia and AMD focused on a systems approach, which may be the most ...

AGI refers to hypothetical AI systems which are capable of performing any intellectual task a human can, rather than being limited to specific functions ...

I tested local AI on my M1 Mac, expecting magic - and got a reality check instead ...

Large language models turned natural language into a programmable interface, but they still struggle when the world stops ...

Enterprises are racing to build AI-dependent operations, but the most overlooked resilience lay-er might not be technical.

Every CEO in the Fortune 500 has issued some version of the same mandate: We need an AI strategy. Most of them have also ...

A 2017 Facebook experiment also drew alarming headlines. But then, as now, the danger was not what it seemed.