IEEE

Machine and Deep Learning Models for Stress Detection Using Multimodal Physiological Data

Abstract: Stress can disrupt daily activities and harm health if prolonged or severe. Early detection of mental stress, indicated by changes in bio-signals like thermal, electrical, and acoustic ...
IEEE

A Hybrid Model for BGP Anomaly Detection Using Median Absolute Deviation and Machine Learning

Abstract: Detecting anomalies in the Border Gateway Protocol (BGP) has proved relevant in the cybersecurity field due to the protocol’s critical role in the Internet’s infrastructure. BGP ...
Microsoft

Learning When to Act or Refuse: Guarding Agentic Reasoning Models for Safe Multi-Step Tool Use

Agentic language models operate in a fundamentally different safety regime than chat models: they must plan, call tools, and execute long-horizon actions where a single misstep, such as accessing ...
The Engineer

Free Webinar | Solving Large Models in COMSOL Multiphysics®

As finite element models grow in size and complexity, solver performance becomes increasingly important. The COMSOL Multiphysics® software offers a comprehensive selection of solvers that enable users ...
GitHub

Fara-7B: An Efficient Agentic Model for Computer Use

Fara-7B is Microsoft's first agentic small language model (SLM) designed specifically for computer use. With only 7 billion parameters, Fara-7B is an ultra-compact Computer Use Agent (CUA) that ...