Autonomous AI post-training reached frontier scale for the first time: NVIDIA researchers published a paper showing an AI ...

When you use torch.load() in your pipeline, it does more than just read tensor arrays. It also runs instructions. To lower risk, security teams and ML engineers should avoid older serialization ...

In energy analytics modelling, high quality electricity consumption data is essential for tasks such as forecasting, flexibility analysis, and intervention modelling. However, real world electricity ...

People take part in the "Gen AI hackathon for public good" program on the sidelines of the presentation of the government strategy for AI in the public sector at the Public services Minister on ...

A toolbox for researchers to use for machine learning applications in the PyTorch language. The goal of this software is to enable fast start-up of machine learning tasks and to provide a reliable and ...

This open-access article is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. This work is licensed under a Creative Commons Attribution 4.0 International ...

This paper investigates the combined potential of neuromorphic and edge computing to develop a flexible machine learning (ML) system designed for processing data from dynamic vision sensors. We build ...

Future AI systems may need to provide medical professionals with explanations of AI predictions and decisions. While current XAI methods match these requirements in principle, they are too inflexible ...

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The field of artificial intelligence (AI) has witnessed remarkable advancements in recent years, and at the heart of it lies the powerful combination of graphics processing units (GPUs) and parallel ...