Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to ...

Animal trainers know that animal behavior can be influenced by rewarding desirable behaviors. A dog trainer gives the dog a treat when it does a trick correctly. This reinforces the behavior, and the ...

Recent innovations in smart grid technologies are optimizing energy management, reducing costs, and enhancing grid resilience ...

November 25, 2024 • Books We Love returns with 350+ new titles handpicked by NPR staff and trusted critics. Find 12 years of recommendations all in one place — that's nearly 4,000 great reads.

In “One Day, Everyone Will Have Always Been Against This,” Omar El Akkad criticizes the Western narratives that make suffering in Gaza an abstraction In her memoir, “The 10,” E.A. Hanks ...

PDF Candy is an impressive free PDF editor that includes many capabilities you’d only expect in a paid tool. Editor’s note: This review was updated April 3, 2025 to reflect the most current ...

Sue Roe's new book details how while on holiday with his wife, Picasso installed his mistress in a beach hut - then took up with another! But then came… After Amy Griffin narrowly lost a school ...

Abstract: While deep reinforcement learning (RL ... At a high level the book discusses how meta-RL research can be clustered based on the presence of a task distribution and the learning budget ...

And for binge watchers, it’s also the perfect chance to study up by diving into the books that are being adapted into movies and TV shows in 2025. Here are some of the thrillers, romances ...

Artificial intelligence enhances the network capability with automatic and adaptive adjustment. Reinforcement learning (RL) and deep reinforcement learning (DRL) are two powerful techniques in ...

AI and robotics in nutritional testing are transforming food safety, allergen detection, and nutrient analysis with faster, automated lab workflows.

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field ...