GitHub

MCPMark: Stress-Testing Comprehensive MCP Use

An evaluation suite for agentic models in real MCP tool environments (Notion / GitHub / Filesystem / Postgres / Playwright). MCPMark provides a reproducible, extensible benchmark for researchers and ...
The Decatur Daily

How to Learn Data Science with Python in 2026: The Complete Beginner-to-Job-Ready Roadmap

A large amount of time and resources have been invested in making Python the most suitable first programming language for ...
IEEE

Hysteresis Modeling of Magnetic Components with Generalized Distribution Function and Efficient Parameter Identification Based on Preisach Model

Abstract: Soft magnetic materials are widely used for magnetic components in power electronic converters. Their hysteresis effect leads to the nonlinear impedance characteristics of the magnetic cores ...

Nvidia’s Open Model Super Panel Made a Strong Case for Open Agents

At GTC 2026, Jensen Huang, Aravind Srinivas, Harrison Chase, Mira Murati, and Michael Truell made a compelling case that the ...
InfoQ

Evaluating AI Agents in Practice: Benchmarks, Frameworks, and Lessons Learned

This article introduces practical methods for evaluating AI agents operating in real-world environments. It explains how to ...
GitHub

GitHub - kossisoroyce/timber: Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code ...

Timber takes a trained ML model — XGBoost, LightGBM, scikit-learn, CatBoost, ONNX (tree ensembles, linear models, SVMs), or a URDF robot description — runs it through a multi-pass optimizing compiler, ...
IEEE

Fine-Tuning Pretrained CNN Models for Knee Osteoarthritis Diagnosis: Impact of Layer Freezing and Activation Function Selection

Abstract: Knee osteoarthritis, often known as KOA, is a degenerative joint condition that lasts for a long time and affects millions of people around the world and has a big effect on their mental and ...