Greedy, Brittle, Opaque ... with a blooming multitude of connections. Deep learning employs an algorithm called backpropagation, or backprop, that adjusts the mathematical weights between nodes ...

Learn More Researchers have proposed a method for allowing reinforcement learning algorithms to accumulate knowledge while erring on the side of caution. The team, which hails from the University ...

Machine-learning algorithms find and apply patterns in data. And they pretty much run the world. Machine-learning algorithms are responsible for the vast majority of the artificial intelligence ...

Learn More DeepMind this week released Acme, a framework intended to simplify the development of reinforcement learning algorithms by enabling AI-driven agents to run at various scales of execution.

To address this challenge, the team used reinforcement learning, a technique involving a combination of computational rewards and punishments, to train an algorithm. This algorithm will be ...

The new algorithm, by contrast, operates via reinforcement learning, steadily growing its predictive ability by guessing about the composition of the rock, being rewarded based on whether or not it ...

A new system that combines Gemini’s coding abilities with an evolutionary approach improves data center scheduling and chip design, and fine-tunes large language models.