InfoQ

Microsoft Agent Framework RC Simplifies Agentic Development in .NET and Python

Microsoft has announced that the Microsoft Agent Framework has reached Release Candidate status for both .NET and Python. This milestone indicates that the API surface is stable and feature-complete ...
GitHub

Z80-μLM: A Retrocomputing Micro Language Model

Z80-μLM is a 'conversational AI' that generates short character-by-character sequences, with quantization-aware training (QAT) to run on a Z80 processor with 64kb of ram. The root behind this project ...
VoxelMatters

IIT Bombay develops predictive models for sintering-induced shrinkage

Researchers at IIT Bombay have developed predictive models capable of calculating sintering-induced shrinkage in 3D printed ...
The Manila Times

New Report "How To Transition from Data Analyst to Data Scientist” - Interview Kickstart Publishes Definitive Guide for Professionals Looking To Advance Into High-Impact Data ...

Interview Kickstart today announced the release of its latest in-depth career guide, "How to Transition from Data Analyst to Data Scientist," a comprehensive roadmap designed to help working data ...

Buyer’s Practical Guide to Selecting China Industrial Loading Arms for Oil and Chemical Facilities

LIANYUNGANG, JIANGSU, CHINA, February 13, 2026 /EINPresswire.com/ -- The global petrochemical and energy landscape is ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
2UrbanGirls on MSN

AI ML talent demand grows as startups hire ML engineers and AI engineers for automation

The demand for artificial intelligence and machine learning talent is accelerating as startups increasingly integrate a ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
IEEE

Practical Nonlinear Model Predictive Control With Kolmogorov–Arnold Network Models

Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...
Frontiers

Risk factors and predictive modeling of postpartum depression among postpartum women: empirical evidence from Chongqing, China

Postpartum depression (PPD) is a prevalent mental health condition that significantly impacts the wellbeing of mothers and their families. Early identification of high-risk women continues to be a ...
IEEE

Learning-Based Model Predictive Control With High-Probability Safety Using Gaussian Mixture Models

Abstract: This article introduces a learning-based model predictive control (MPC) framework that leverages Gaussian mixture models (GMMs) to address dynamic system uncertainties effectively. To ...
Hosted on MSN

Modeling sliding bead on tilting wire using Python | Lagrangian explained

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 ...