One of the training failures that changed how I think about AI infrastructure came from a part of a system that looked ...

Introduction Cervical cancer remains a major health concern in low-resource settings, with Cambodian women experiencing some ...

Leaders at the Yale School of Medicine Department of Emergency Medicine have developed a comprehensive cross-domain approach ...

A loop that was never real is what happens when the system was never capable of catching anything in the first place.

Abstract: Transcranial ultrasound stimulation is a non-invasive neuromodulation technique characterized by its high spatial resolution and penetration depth, and it has shown an inhibitory effect on ...

Stop throwing money at GPUs for unoptimized models; using smart shortcuts like fine-tuning and quantization can slash your training costs without losing accuracy.

EVOLVE, an agentic framework that autonomously optimizes AI training data, model architectures, and learning algorithms — boosting MMLU scores by 18 points over human baselines.

In February 2026, Tencent tore down its pre-training and reinforcement-learning infrastructure and rebuilt both from scratch. 90 days after that, it went live.

Co-authored by Nigel Bairstow, Ph.D., and Salman Majeed, Ph.D. In a rapidly changing educational space today, classrooms must not only focus on knowledge acquisition but also help their students in ...

Abstract: This paper develops learning-enabled safe controllers for linear systems subject to system uncertainties and bounded disturbances. Given the disturbance zonotope, the data based closed-loop ...

This study examines the water-use efficiency and conservation potential of Guangzhou Railway Polytechnic (GRP) using an integrated methodology that combines water balance testing, functional-zone ...

The development of new studies that consider different structures of the hierarchical sensorimotor control system is essential to enable a more holistic understanding about movement. The incorporation ...