2025 /PRNewswire/ -- Polyhedra today announced the release of zkPyTorch, a groundbreaking compiler that transforms PyTorch models/ONNX models into efficient, verifiable zero-knowledge circuits.

Large language models work well because they’re so large. The latest models from OpenAI, Meta and DeepSeek use hundreds of billions of “parameters” — the adjustable knobs that determine connections ...

AI models are being cranked out at a dizzying pace, by everyone from Big Tech companies like Google to startups like OpenAI and Anthropic. Keeping track of the latest ones can be overwhelming.

Abstract: Due to the non-convex nature of training Deep Neural Network (DNN) models, their effectiveness relies on the use of non-convex optimization heuristics. Traditional methods for training DNNs ...

Abstract: We consider the problem of robustly fitting a model to data that includes outliers by formulating a percentile optimization problem. This problem is non-smooth and non-convex, hence hard to ...

It is your responsibility to ensure that the resulting polyhedron is free from self-intersections ... generally produces good results when connecting a discrete polygon to a convex, finely sampled ...

Staff in Microsoft’s artificial intelligence unit recently finished training a new family of AI models, internally dubbed MAI, that they think can perform nearly as well as leading models from labs ...

This parameter is good for ensuring that your roundover fits on the polygon or polyhedron, because you can easily tell whether you have enough space, and whether adjacent corner treatments interfere.