In this video, I explain how computer scientists simulate evolution to train or evolve AI. Explore the fascinating intersection of natural evolution and artificial intelligence.

The researchers think the pattern they observed in ants reflects a more universal trend in the evolution of societal ...

The rapid diversification of ants has “led to their role as ecological engineers” that can work in habitats across the world, ...

The publication unveiled its annual selection of the most significant scientific and technological breakthroughs from the ...

For years, the conversation around quantum computing and cryptocurrency has been dominated by a single, breathless question: Will a quantum breakthrough kill Bitcoin? The fear is simple enough.

Chemist Lee Cronin challenges AI doom and explains assembly theory, showing how complexity signals life, so you can judge ...

A new research paper reframes the simulation hypothesis, asking whether reality could be simulated and what science can test.

In the rapidly evolving landscape of enterprise technology, a quiet revolution is unfolding where monolithic enterprise ...

AI leaders clash over AGI, with Hassabis calling the brain an approximate Turing machine, helping you grasp real design goals ...

Computers found what human experts missed: a divide between aging biology research and patient care that decades of funding ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.