Intruder built an AI-powered "vulnerability vending machine" that combines code slicing with LLMs to automatically discover ...

This type of problem – known as a combinatorial optimization problem – lies at the heart of many challenges in science, technology, and business. A new German-Taiwanese research project involving TU ...

Memristor-based chips could solve demanding optimization problems far faster and with less energy by replacing dense ...

Trimmed-mean inflation measure and its sibling median inflation gauge have both gotten unprecedented attention in recent ...

Abstract: In this paper, we propose a novel decentralized method based on deep reinforcement learning using robot-level and target-level relational graphs, to solve the problem of multi-target ...

Gwen Shapira shares how teams are scaling AI features using PostgreSQL for mission-critical apps. She explains how to ...

The cycle double cover conjecture asks whether, in a graph made up of vertices and edges, it is possible to construct several ...

The Martin-Hopkins equation to assess low-density lipoprotein (LDL) cholesterol levels in blood samples has been used by ...