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 ...
IEEE

A Dual-Fatigue Speed Guidance Model for Isokinetic Training: Cognitive and sEMG-Based Physiological Fatigue Approach

Abstract: Isokinetic training has been proven to be an effective method in rehabilitative therapy. However, the quantitative relationship between training speed and the biophysical condition of the ...
IEEE

Tunnel User Behavior Identification Based on Self-Supervised Pre-Training

Abstract: With the widespread use of tunnel technology, the volume of encrypted tunnel traffic is rapidly increasing. Malicious users can transmit harmful information secretly through tunnels to ...

Spiritual Healer Neva Rayne of Living Joyously Recently Featured on Close Up Radio

SARASOTA, FL, UNITED STATES, February 25, 2026 /EINPresswire.com/ -- For more than a quarter-century, Neva Rayne has ...
GovInfoSecurity

Anthropic Accuses China AI Firms of Model Mining

Anthropic has accused three Chinese AI firms of running coordinated, large-scale operations to steal capabilities from its ...
Scientific Research Publishing

An Empirical Study Based on Big Data Analysis to Analyze Social Media Group Sentiment and Its Impact on Consumer Psychology ()

As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...

Shadow mode, drift alerts and audit logs: Inside the modern audit loop

A machine learning (ML) model might retrain or drift between quarterly operational syncs. This means that, by the time an issue is discovered, hundreds of bad decisions could already have been made.