Threat actors are operationalizing AI to scale and sustain malicious activity, accelerating tradecraft and increasing risk for defenders, as illustrated by recent activity from North Korean groups ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Learn how to model 1D motion in Python using loops! 🐍⚙️ This step-by-step tutorial shows you how to simulate position, velocity, and acceleration over time with easy-to-follow Python code. Perfect ...

Qwen3.5 comes in an open-weight and hosted API version, with the company advertising improvements in performance and costs from previous versions. Qwen3.5 supports new agentic capabilities and is ...

Explore advanced physics with **“Modeling Sliding Bead On Tilting Wire Using Python | Lagrangian Explained.”** In this tutorial, we demonstrate how to simulate the motion of a bead sliding on a ...

Abstract: The growing demand for high-bandwidth, zero-trouble services is imposing unprecedented challenges on optical communication networks. Traditional human-centric network management approaches ...

A research-grade Python implementation of decentralized multi-agent coordination using auction-based task allocation, designed for autonomous robotics and AI studies. Multi-agent AI system for ...

Meta said the acquisition was aimed at boosting automation across consumer and business products. Manus will continue operating its subscription service after the acquisition, with no deal terms ...

Meta (META) said on Monday that it will buy Manus—a Singapore-based AI startup specializing in general-purpose AI agents—for more than $2 billion, the Wall Street Journal reported, citing sources ...