Microsoft's new AI training method eliminates bloated system prompts without sacrificing model performance

Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds ...
JEC

“The time of curing is much shorter than in the autoclave process”

To address this challenge, project partner Cidaut has achieved a major milestone by developing two fast-curing process innovations: a Resin Transfer Moulding (RTM) system designed for frontal UV ...

Guide Labs debuts a new kind of interpretable LLM

The company open sourced an 8-billion-parameter LLM, Steerling-8B, trained with a new architecture designed to make its ...

Seqops Announces New Guidance for Continuous Software Exposure Identification Across Cloud Environments

Karnataka, India – 22nd Feb 2026 – A new operational guidance framework for identifying and remediating software ...

Model Response Optimization Emerges as Critical Foundation for AI-Era Brand Management

New discipline addresses gap between brand intent and AI-generated descriptions as 95% of B2B buyers plan to use ...

DataArt Launches Artisyn to Help Enterprises Govern and Scale AI-Enabled Software Delivery

NEW YORK, NY, UNITED STATES, February 18, 2026 /EINPresswire.com/ -- DataArt, a global software engineering firm that ...
IEEE

End-to-End Process Optimization in Polymer Extrusion Lines Using Model Predictive Control and Multi-Task Learning

Abstract: Due to the inherent complexity of modern polymer extrusion lines caused by nonlinear, dynamic behavior with numerous influential factors, disturbances lead to higher scrap rates and ...
Yahoo Finance

Anthropic launches Opus 4.6 in another hit to the software market

AI company Anthropic (ANTH.PVT) is expanding on its recent software launches, debuting its Opus 4.6 model on Thursday, calling it the company's "most capable model for all enterprise and knowledge ...
IEEE

Fast Identification of the Jiles–Atherton Model Parameters and the Electrical Conductivity Based on Gaussian Process Regression

Abstract: Various approaches already exist for identifying the Jiles-Atherton (JA) hysteresis model, typically using optimization algorithms that minimize the deviation of hysteresis curves from a ...