The quantum-AI convergence represents the next fundamental shift in how we process information, solve problems and create ...

Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling by designing the algorithms and rules that govern the learning process.

Modern networks have outgrown reactive planning. With 5G and rising traffic, manual analysis and legacy models can’t keep up ...

An artificial-intelligence algorithm that discovers its own way to learn achieves state-of-the-art performance, including on some tasks it had never encountered before. Joel Lehman is at Lila Sciences ...