For AI to truly be groundbreaking for neuroscience, Pavlick asserted, it is essential to understand how the machine itself ...

John Woodward does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...

INDIANAPOLIS — As a Purdue University master’s degree student in electrical and computer engineering in West Lafayette, Karen D’Souza was impressed by the depth and breadth of the research offered ...

One of the biggest challenges with artificial intelligence today is the quality of data. Many models were trained on the internet, full of falsehoods and lies. This is particularly a problem in ...

Researchers find large language models process diverse types of data, like different languages, audio inputs, images, etc., similarly to how humans reason about complex problems. Like humans, LLMs ...

Imagine a world where artificial intelligence not only understands language but creates with it, where quantum systems no longer feel like an enigma but a solvable puzzle. It might sound like science ...

The future of work will demand fluency in both science and technology. From addressing climate change to designing ethical AI systems, tomorrow’s challenges will require interdisciplinary thinkers who ...

New artificial intelligence models for plasma heating can do more than was previously thought possible, not only increasing the prediction speed 10 million times while preserving accuracy but also ...

When reviewing job growth and salary information, it’s important to remember that actual numbers can vary due to many different factors—like years of experience in the role, industry of employment, ...

Space and time aren’t just woven into the background fabric of the universe. To theoretical computer scientists, time and space (also known as memory) are the two fundamental resources of computation.