In art, brush marks can be seen as a flaw or the signature of a noted painter. Similarly, what appears to be operational ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Learn how to integrate post-quantum cryptographic algorithms with Model Context Protocol (MCP) for robust AI infrastructure security against quantum computing threats.

An agentic AI-based approach to end-to-end bug resolution using both error logs and waveforms.

Data collected under the Death in Custody Reporting Act has some serious problems. Here’s how we fixed some of them.

Explore MCP vulnerabilities in a post-quantum world. Learn about PQC solutions, zero-trust architecture, and continuous monitoring for AI infrastructure security.

A new study introduces ACA-SIM (atmospheric correction based on satellite–in situ matchup data), a neural-network-based atmospheric correction ...

Discover how the Luhn Algorithm verifies credit card accuracy, supports secure transactions, and helps prevent errors in inputting Social Security numbers.

A new technique breaks Dijkstra's 70-year-old record: it finds routes faster in huge networks, changing graph theory forever.

The fund seeks to enable researchers to make leaps rather than incremental advances in the natural sciences and engineering.

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

When scientists test algorithms that sort or classify data, they often turn to a trusted tool called Normalized Mutual Information (or NMI) to measure how well an algorithm's output matches reality.