The research team of Weihong Tan, Xiaohong Fang, and Tao Bing from the Hangzhou Institute of Medical Sciences, Chinese Academy of Sciences, proposed a ...

A marriage of formal methods and LLMs seeks to harness the strengths of both.

The currents of the oceans, the roiling surface of the sun, and the clouds of smoke billowing off a forest fire—all are ...

Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Is ExpressVPN worth it? Let's break it down.

This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...

Q4 2025 Earnings Call February 11, 2026 2:30 AM ESTCompany ParticipantsKarl Hersvik - Chief Executive OfficerDavid Tønne - ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...

Picking the right simulation software is a big first step when you’re getting into mobile robotics. It’s not just about ...