The public policy coordinator at the NGO Derechos Digitales discusses the decisions made by regulatory authorities in ...
Machine learning systems embed preferences either in training losses or through post-processing of calibrated predictions. Applying information design methods from Strack and Yang (2024), this paper ...
Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...
Your watch’s VO2 max isn’t perfect, but you can improve its accuracy with better data and heart-rate tracking.
AI is rapidly entering clinical care, but malpractice law has not kept pace. As adoption accelerates, clinicians are being ...
Instead of letting Citigroup’s employees fend for themselves, the $205 billion bank has provided workers with an AI training ...
Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
Evolving challenges and strategies in AI/ML model deployment and hardware optimization have a big impact on NPU architectures ...
Researchers from Tianjin University have introduced the Emergency Medical Procedures 3D Dataset (EMP3D), a pioneering ...
Artificial Intelligence (AI) is revolutionizing the dynamics of technological advancement in the field of medical imaging, ...
Abstract: This paper explores methods for improving the training and inference performance of a Sigma-Delta spiking object detector by applying a series of training techniques and optimization ...
A wearable device pairs glucose-responsive insulin with algorithmic pump control, creating dual safety loops that reduced hypoglycemia from 4.01% to 0.52% in diabetic rats.
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