Mental math shortcuts suggest future STEM performance—and gender is a significant predictor What is 29 + 14?

Overview: Learning one programming language and core concepts builds the base for solving coding interview problems effectively.Strong knowledge of data structu ...

Scientists trained a brain organoid to solve a well-known engineering task, and its success demonstrates the increasing complexity of lab-grown brains.

Overview: Quantum AI combines quantum computing with artificial intelligence to solve complex problems beyond the reach of ...

Many engineering challenges come down to the same headache—too many knobs to turn and too few chances to test them. Whether tuning a power grid or designing a safer vehicle, each evaluation can be ...

Erdos, explores what researchers call autoformalization, the process of converting traditional mathematical proofs into formats machines can verify using tools such as Lean and Coq.

Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform classical systems on certain tasks. Over the past few decades, researchers ...

For more than a century, economists have tried to reduce economics to a series of mathematical equations and statistical analysis. They have failed miserably, ...

Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...

No body, no dopamine, no problem. Scientists have successfully coached lab-grown brain tissue to solve a classic robotics challenge, proving that the will to learn is hardwired into our neurons.

“We have 600 petabytes of data across Intel,” said Aziz Safa, corporate VP & GM Intel Foundry Automation at the recent PDF Solutions Users Conference. “The challenge is to be able to run algorithms on ...