How we learn to predict an outcome isn’t determined by how many times a cue and reward happen together. Instead, how much ...

Scott Doty, CEO of BrainStorm Academic Solutions, notes that core structural models still reflect frameworks developed in ...

This study presents a bio-inspired control framework for soft robots, enhancing tracking accuracy by over 44% under disturbances while maintaining stability.

Proposed as an alternative to chemical mechanical polishing (CMP), in which abrasive particles are dispersed in liquid, the method uses vertically aligned carbon nanotubes fixed in polyurethane and ...

A University of Michigan AI model diagnoses more than 50 brain disorders from MRI scans in seconds, with up to 97.5 percent accuracy.

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

LLMs tend to lose prior skills when fine-tuned for new tasks. A new self-distillation approach aims to reduce regression and ...

MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.

Researchers at Pohang University of Science and Technology (POSTECH) have developed an artificial intelligence approach that addresses a key bottleneck in analog semiconductor layout design, a process ...

Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...

Abstract: We propose a UNet-based foundation model and its self-supervised learning method to address two key challenges: 1)lack of qualified annotated analog layout data, and 2)excessive variety in ...