Quantum Phase Estimation (QPE) is a key technique in quantum computing that leverages quantum superposition and interference principles to efficiently estimate the phase information of quantum states.

Neural networks are AI models developed to tailor content for different user profiles. Modern technological advances have ...

Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the ...

Figure, a leading innovator in humanoid robotics, has released an hour-long video showcasing its latest model, Figure.02, and ...

Researchers from Skoltech and AIRI Institute have shown how machine learning can speed up the development of new materials ...

Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the ...

"We wanted to demonstrate that this neural network based variational approach ... of new quantum states of matter. "For me, this project was a mind-blowing experience," said Fu.

By generalizing the optimization techniques of artificial neural networks to the design of robots, Kriegman and his team aim ...

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...

Few have influenced the course of artificial intelligence (AI) more than Jeff Dean. As chief scientist at Google DeepMind and ...

The cement industry produces about 8% of global CO₂ emissions—more than the entire aviation sector worldwide. Researchers at ...