A small error-correction signal keeps compressed vectors accurate, enabling broader, more precise AI retrieval.

Building a utility-scale quantum computer that can crack one of the most vital cryptosystems—elliptic curves—doesn’t require ...

Traditional encryption methods have long been vulnerable to quantum computers, but two new analyses suggest a capable enough ...

Google warned that quantum advances could break crypto security sooner than expected, with analysts recommending ‘appropriate ...

Google's finding that breaking bitcoin's cryptography requires 20x fewer qubits than previously estimated has triggered the ...

This technique can be used out-of-the-box, requiring no model training or special packaging. It is code-execution free, which ...

Quantum computers of the future may be closer to reality thanks to new research from Caltech and Oratomic, a Caltech-linked start-up company. Theorists and experimentalists teamed up to develop a new ...

Reimaging professional and educational practices for an AI-augmented future.

Researchers from Caltech and Oratomic, a Caltech-linked startup, published findings on March 31, 2026, arguing that a useful ...

Marwitz et al. demonstrate the use of large language models to build semantic concept graphs from materials science abstracts and train a machine learning model to predict emerging topic combinations ...