For Nigerian mathematician Temitope Comfort Iroko, a working day moves from pen-and-paper proofs to algorithms, computer code ...

Google DeepMind's AI agents write Lean quantum algorithms, each with a proof it is correct and a proof of its cost, cutting ...

Hello, this is Keisuke.A massive amount of cryptocurrency, worth around 1 trillion yen, was stolen from the cryptocurrency ...

Prologue: Two ProvocationsIn July 2025, a lecture by game developer Casey Muratori was released. The two-hour lecture was titled "The Big OOPs: Anatomy of a Thirty-five-year Mistake." It implies that ...

Unlock the transformative power of self-programming with our comprehensive guide on "I 'Program' Myself" — a strategic, ...

A guarantee for estimating distances across networks, set in 1996, now reaches much closer pairs of points than anyone had shown possible. Manoj Gupta, an associate professor at the Indian Institute ...

Tap Download: When you’ve found a video, click or tap the Download button. On desktop, you will now see a down arrow below ...

A new MIT Press book, co-authored by a Philadelphia journalist and a Penn researcher, argues the useful question about AI isn ...

Using the same techniques that allowed A.I. technologies to crack a million-dollar math problem, researchers are building new systems that aim to solve the world’s cybersecurity crisis.

Members of the 2026 cohort represent disciplines spanning the humanities, engineering, sciences and social sciences.

In 1984, Narendra Karmarkar revolutionized linear programming with a new algorithm that improved efficiency in resource allocation, impacting industries and modern AI technologies.

Researchers have found a way to perform certain quantum operations more than 1,000 times faster, cutting thousands of repeated control cycles down to just one. The advance could reduce errors and ...