Moving beyond the slow, costly trial-and-error of RL, GEPA teaches AI systems to learn and improve using natural language.

Over the past decade, advancements in machine learning (ML) and deep learning (DL) have revolutionized segmentation accuracy.

Researchers at the US Lawrence Livermore National Laboratory (LLNL) have combined AI with fusion target design by deploying ...

The method not only overcomes limitations of traditional LiDAR scanning but also enables the extraction of other hard-to-measure crown parameters ...

A research team has developed a novel approach combining refined spatial competition mapping with powerful ensemble learning to predict maximum crown width height (HMCW) in Chinese fir with ...

Researchers from South China University of Technology use machine learning to predict 3D printed Ti6Al4V performance.

Science has worked, and always will work, through a process of constant interrogation and review, whether that be during the course of research, in peer review or in post publication assessment,” ...

Robotics startup Skild AI, backed by Amazon.com and Japan's SoftBank Group , on Tuesday unveiled a foundational artificial intelligence model designed to run on nearly any robot — from assembly ...

Doctors urged Miles Yardley to transition at age 15, and he transitioned into a woman named Salomé, according to reports.

Training a machine learning model using only those primitives should ensure that the resulting designs meet PPA targets. Then, Cerebrus generates design scenarios by applying proposed DFM rules to the ...

Fine-tuned “student” models can pick up unwanted traits from base “teacher” models that could evade data filtering, generating a need for more rigorous safety evaluations.

Methods A multimodal deep-learning model with transformers was developed for real-time recurrence prediction using baseline clinical, pathological, and molecular data with longitudinal laboratory and ...