Morning Overview on MSN

Brain-inspired AI pruning boosts learning while shrinking model size

A human infant is born with roughly twice as many synapses as it will eventually need. Over the first few years of life, the ...

Inquiry-based biomimicry course inspires students to design solutions by learning from nature

Research and innovation in Texas A&M University's biomedical engineering department often centers around clinical impact on ...
IEEE

Pre-training and Fine-turning Multi-task Learning Model: An Effective Method for Mongolian Morphological Tagging

Mongolian1 morphological label is the abstract description of Mongolian word morphology, and morphological tagging is an essential pre-processing step for Mongolian natural language processing. The ...
Tech Xplore

Robots with different bodies can now share skills: What intention-based learning changes

Robots are increasingly being used in manufacturing, agriculture and health care. But programming a team of robots to carry ...
IEEE

GCond: Gradient Conflict Resolution via Accumulation-Based Stabilization for Large-Scale Multi-Task Learning

Abstract: In multi-task learning (MTL), gradient conflict poses a significant challenge. Effective methods for addressing this problem, including PCGrad, CAGrad, and GradNorm, in their original ...