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

In a new study, scientists successfully trained a brain organoid derived from mouse stem cells to solve an engineering benchmark known as the “cart-pole problem.” By applying weak or strong electric ...

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 ...

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 ...

Overview Math AI tools use advanced algorithms to instantly recognize equations, generate accurate solutions, and explain each step clearly for better understan ...

Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create synthetic data in a can solve this bottleneck.

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 ...

In a landmark study published in Cell Reports, scientists demonstrated that mouse cortical organoids (miniature, lab-grown ...

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.