Neuron-powered computer chips can now be easily programmed to play a first-person shooter game, bringing biological computers ...

Ten beliefs about the desire to learn in the light of scientific knowledge on the subject. What does the will to learn really depend on? How can we create the best conditions?

Scientific Machine Learning (SciML) represents a multi-disciplinary approach that fuses the physical laws governing a system (such as equations from physics or engineering) with data-driven machine ...

This is an edition of The Future of Everything newsletter, a look at how innovation and technology are transforming the way we live, work and play. If you’re not subscribed, sign up here. After ...

A competition calling for research projects involving so-called AI scientists shows just how fast this technology is moving. A number of startups and university teams that are building “AI scientists” ...

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex mathematical problems that underpin scientific and engineering challenges.

Scientific computing relies heavily on powerful tools like Julia and Python. While Python has long been the preferred choice in High Energy Physics (HEP) data analysis, there’s a growing interest in ...

Explore how reinforcement learning enhances scientific AI agents, reducing the burden of repetitive tasks and fostering innovation, as detailed by NVIDIA. In the rapidly evolving field of artificial ...

As AI becomes a bigger part of everyday life, scientists are finding exciting new ways of harnessing its transformative power to tackle some of society’s biggest challenges. From designing new ...

Laboratory Information Management Systems (LIMS) are primed for widespread updates, having stayed largely stagnant for the last two decades. As pharmaceutical companies, biotech firms and contact ...