In math and Mario Land, there are questions that are algorithmically undecidable, meaning they will demonstrably never have ...

A new theoretical framework separates computational speed from statistical generalization in quantum machine learning, showing that faster quantum algorithms alone do not guarantee better learning ...

Simulation and equivalence checking for quantum circuits are readily solvable, yet determining if a given operation can be ...

A new computational study redesigns naproxen with amide-linked derivatives that bind COX-2 more tightly than the parent drug while predicting sharply lower toxicity and gastrointestinal risk.

Delegating quantum computations previously demanded verifier resources that grew exponentially with circuit size. Now, ...

Vinci today announced a $250 million Series B co-led by Advent, Temasek and Xora, with participation from AMD Ventures, ...

This work presents a deep learning (DL)-assisted inverse-design framework for the automated synthesis of multifunctional pixelated metasurfaces. A deep neural network (DNN) is trained to map ...

In a series of stories over the next few months, we’ll be visiting courses in economics, English, philosophy, computer ...

New Standard for Logical Quantum Computational Systems (SLQCS), establishes a Substrate-Agnostic Framework for ...

Traditional computational approaches make the problem manageable by stripping away much of that real-material complexity.

Biotech and pharma organizations are adopting AI at rapid pace, focusing on R&D, and precision medicine. As challenges emerge ...

DeepSeek and Huawei open-sourced a six-module AI programming toolkit on September 30, targeting Nvidia's CUDA software moat.