A canonical problem in computer science is to find the shortest route to every point in a network. A new approach beats the ...

In a world where machines can code, true intelligence lies in designing the logic that drives them. The future belongs to those who think independently, critically and algorithmically, not ...

Philip Ball dives into the challenges in developing quantum computing, and building up investments and users for the tech ...

Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling ...

Recently, there has been a lot of hullabaloo about the idea that large reasoning models (LRM) are unable to think. This is mostly due to a research article published by Apple, "The Illusion of ...

A research team from Google Quantum AI has developed a new quantum algorithm that is intended to enable a verifiable quantum ...

However, “Quantum Echoes” doesn’t only work on Google’s “Willow” chip—according to the researchers, it can also be run on ...

The promise of a better future remains within reach, but only if healthcare organizations solve a long-standing ...

The future of medicine won't be defined by the smartest AI in the room, but by the most integrated and accessible ecosystem ...

In popular parlance it is called Dark Pattern. Our online utility apps, and most notably the apps like Swiggy and Zomato, are full of it. One example: no more detailed restaurant reviews on Zomato and ...

Daniel Lokshtanov’s work explores the limits of what computers can solve, paving the way for advances in artificial intelligence and computational efficiency.