In a world where machines can code, true intelligence lies in designing the logic that drives them. The future belongs to those who think independently, critically and algorithmically, not ...

New research from the University of Waterloo is making inroads on one of the biggest problems in theoretical computer science ...

Algorithmic power threatens the foundations of democratic oversight—and Sweden's experience shows why Europe must act now.

Google's SRL framework provides a step-by-step "curriculum" that makes LLMs more reliable for complex reasoning tasks.

These days, columnist Dagmar Munn is all about manipulating the algorithm of her brain to improve her outlook and turn down ...

Researchers from Standford, Princeton, and Cornell have developed a new benchmark to better evaluate coding abilities of large language models (LLMs). Called CodeClash, the new benchmark pits LLMs ...

Canadian enterprises face rising pressure to adopt AI, but outdated systems and fragmented data are slowing progress.

When quantum computers become commonplace, current cryptographic systems will become obsolete. Scientists are racing to get ...

Quiq reports on key questions surrounding AI, covering its capabilities, risks, ethical challenges, and future implications for society.

When the Karnataka government rolled out its five guarantees, the reactions were… mixed. Some called it historic welfare, a ...

New research from the University of Waterloo is making inroads on one of the biggest problems in theoretical computer science. But the way to do it ...

The authors used a Bayesian modeling framework to fit behavior and serotonin neuron activity to reward history across multiple timescales. A key goal was to distinguish value coding from other ...