Machine learning algorithms are the engines of machine ... Ordinary programming algorithms tell the computer what to do in a straightforward way. For example, sorting algorithms turn unordered ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products ... to fit on an inexpensive computer chip capable of balancing ...

A learning algorithm is a mathematical framework or procedure that calculates the best output given a particular set of data. It does this by updating the calculation based on the difference ...

Prof Ambuj Tewari from the University of Michigan explains the origins of reinforcement learning and why it’s so valuable in ...

People’s daily interactions with online algorithms affect how they learn from others, with negative consequences including social misperceptions, conflict and the spread of misinformation ...

Artificial intelligence algorithms are designed to learn in fits and starts ... To help counter this, Christopher Kanan, a 41-year-old computer scientist at the University of Rochester, has helped ...

Due to the excellent perceptual and decision-making capabilities of RL algorithms, reinforcement learning has been widely used in various fields including medicine, finance, robotics, video games, and ...

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.