In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...
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 ...
Tech Xplore on MSN
Compression technique makes AI models leaner and faster while they're still learning
Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...
A burgeoning field is launching its first clinical trial to find out whether dialling back cell development can safely ...
Skolnick has developed AI-based approaches to predict protein structure and function that may help with drug discovery and ...
Biomedical data analysis has evolved rapidly from convolutional neural network-based systems toward transformer architectures and large-scale foundation ...
Background Hypertrophic cardiomyopathy (HCM) is associated with an increased risk of sudden cardiac death (SCD), and ...
Morning Overview on MSN
AI ‘machine unlearning’ still struggles to erase memorized training data
A growing body of academic research shows that techniques designed to remove memorized training data from large language ...
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