Algorithms define the rules, conditions, and methodology that an AI will use when processing and analyzing data.

AI Algorithms Are Slimming Down to Fit in Your Fridge Artificial intelligence programs typically are power guzzlers. New research shows how to generate computer vision from a simple, low-power chip.

Hundreds of medical algorithms have been approved on basis of limited clinical data. Scientists are debating who should test these tools and how best to do it.

Learn to navigate algorithm updates, measure brand visibility in LLMs, and influence AI knowledge systems.

"Racial bias in healthcare algorithms and bias in AI for judicial decisions are just a few more examples of rampant and hidden bias in AI algorithms," says Paka.

For example, a machine-learning algorithm could be designed to identify patterns in images, and training data could be images of dogs. The resulting machine-learning model would be a dog spotter.

With artificial intelligence algorithms becoming so common, AI hardware in the form of specialized circuits or chips is becoming essential.

Slower uptake of generative AI in public health provides a unique opportunity to embed community accountability before more ...

Artificial intelligence A bias bounty for AI will help to catch unfair algorithms faster The hope is it will boost a blossoming sector that works to hold artificial-intelligence systems accountable.

How exactly does the brain learn through mistakes? In a new paper, some of the brightest minds in AI—including Dr. Geoffrey Hinton, the godfather of deep learning, and folks at DeepMind, the poster ...