CLEVELAND, Ohio — The numbers don’t lie – but they might not tell the whole truth either. That’s the central tension as the Guardians enter 2025 facing some of the most pessimistic statistical ...

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 ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...

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 mandate.

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 ...

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 ...

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method that aligns memristor hardware's noisy updates with neural network training, ...