Online data is generally pretty secure. but quantum computing is advancing faster than expected and existing encryption may ...

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...

Although AI is not intentionally biased, it can inherit biases from the data fed into it, learning and repeating them until ...

Quanscient and Haiqu ran what they describe as the most physically complex quantum CFD simulation to date on real IBM quantum ...

Effective cobot safety combines collision detection and avoidance, enhancing human-robot collaboration through advanced sensing and adaptive planning.

Methane is one of the most powerful greenhouse gases, yet quantifying its emissions remains difficult at large scales. A new framework, CH4Vision, addresses this problem by estimating methane flux ...

Those changes will be contested, in math as in other academic disciplines wrestling with AI’s impact. As AI models become a ...

Two research groups say they have significantly reduced the amount of qubits and time required to crack common online ...

Can living neurons replace AI? A new study shows that biological neural networks (BNNs) can be trained to perform reservoir ...

Ligand Pro, founded by Skoltech professors and a Skoltech Ph.D. student, has presented Matcha, an AI-powered molecular docking model that performs virtual drug screening 30 times faster than the large ...