A new study reveals that the next generation of blockchain defenses will not rely on fixed rules alone but on adaptive, learning-based systems capable of evolving alongside intelligent adversaries.

A new research paper proposes geometry adaptive reinforcement learning to reduce peel forces in Digital Light Processing (DLP) resin printing to save fragile features and increase lift success for ...

What if the very techniques we rely on to make AI smarter are actually holding it back? A new study has sent shockwaves through the AI community by challenging the long-held belief that reinforcement ...

The same type of machine learning methods used to pilot self-driving cars and beat top chess players could help type-1 diabetes sufferers keep their blood glucose levels in a safe range. Scientists at ...

Reinforcement learning algorithms help AI reach goals by rewarding desirable actions. Real-world applications, like healthcare, can benefit from reinforcement learning's adaptability. Initial setup ...

Ineffable Intelligence Ltd., a startup led by former Google DeepMind principal research scientist David Silver, is reportedly raising $1 billion in funding.

This article is part of our reviews of AI research papers, a series of posts that explore the latest findings in artificial intelligence. Artificial intelligence has proven that complicated board and ...

Deep reinforcement learning, a subfield of machine learning that combines reinforcement learning and deep learning, takes what’s known as a reward function and learns to maximize the expected total ...