A team of students from the Faculty of Information Technology at the University of Engineering and Technology, Vietnam National University, Hanoi was the only representative from Vietnam to win Third ...

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

Few companies have been able to fundamentally change their operating and business models around AI. The primary obstacle to ...

And those who rarely used a procedural algorithm were significantly more likely to succeed on problem-solving questions. If you're enjoying this article, consider supporting our award-winning ...

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

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 ...

Every day, algorithms make consequential decisions about millions of people's lives—who gets approved for a mortgage, who is called back for a job interview, who receives priority care in a hospital ...

Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...

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.

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 ...

In a small lab at the University of California, Santa Cruz, clusters of mouse brain cells have taken on a task normally reserved for computer algorithms: ...