A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...
Researchers at the Department of Energy's Oak Ridge National Laboratory have developed a deep learning algorithm that ...
The era of fake news and deepfakes is not a temporary crisis but a permanent reality for brands, leaders, investors and media ...
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 ...
According to @timnitGebru, AddisCoder is offering a one-month free algorithms and coding camp for high schoolers in Ethiopia, with applications open until December 31. This initiative provides ...
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