As enterprises pour billions into GPU infrastructure for AI workloads, many are discovering that their expensive compute resources sit idle far more than expected. The culprit isn't the hardware. It’s ...

Mathematics, like many other scientific endeavors, is increasingly using artificial intelligence. Of course, math is the ...

America’s AI boom is driving a surge in data center construction—along with rising water demand. Why water is becoming the ...

As coding agents stumble in production, the battle for enterprise AI is shifting to the governed data layer. AI coding agents ...

Axiom says its AI found solutions to several long-standing math problems, a sign of the technology’s steadily advancing reasoning capabilities.

The same AI that aced the genius test can't count how many times the letter "R" appears in "strawberry." OpenAI's o3 just cleared artificial general intelligence (AGI) benchmarks. Eighty-seven percent ...

AI 2.0 is different and challenges that belief as larger models are proving far less valuable in practice. Rather than ...

The most dangerous part of AI might not be the fact that it hallucinates—making up its own version of the truth—but that it ceaselessly agrees with users’ version of the truth. This danger is creating ...

For millions of gig workers driving for companies such as Uber Eats, DoorDash and Deliveroo, there is no human manager to ...

AI systems are beginning to produce proof ideas that experts take seriously, even when final acceptance is still pending.

Using LLMs to talk with your friends is efficient. It’s also bad etiquette.