SecurityWeek

Escape Raises $18 Million to Automate Pentesting

Offensive cybersecurity startup Escape today announced raising $18 million in a Series A funding round that brings the total ...
The Next Web

Escape raises $18M to replace pen-testers with AI agents

Escape raises $18M to replace manual pen-testing with AI agents, as vibe coding tools flood production systems with ...

Escape raises $18M to expand AI agent platform for offensive security testing

Offensive security engineering platform startup Escape Technologies SAS announced today that it has raised $18 million in new funding to expand its artificial intelligence-agent security platform, ...
IEEE

Learning-Aided Evolutionary Algorithm for Solving Energy-Minimized Deadline-Constrained Task Scheduling Problem in Human-Cyber-Physical Systems

Abstract: This work addresses an energy-minimized deadline-constrained task scheduling problem in human-cyber-physical systems. It consists of three subproblems: processor allocation, task sequencing, ...
IEEE

A Neural Network Model Based on Differential Evolution Algorithm for Traveling Salesman Problem

Abstract: This paper presents a novel neural network-based optimization framework, NNDE, to solve the traveling salesman problem (TSP). The core idea is to use a radial basis function network (RBFN) ...
New StatesmanOpinion

The Gorton and Denton by-election is anyone’s call

Keir Starmer has long seemed wary of taking on big tech. But now he has vowed on his Substack to bring in new powers “to ...
GitHub

Codebase for paper Improving Diffusion-based Inverse Algorithms under Few-Step Constraint via Learnable Linear Extrapolation.

You can set up the environment using the environment.yml (the requirement is the same as [DDRM]: https://github.com/bahjat-kawar/ddrm). Run conda env create -f ...