Machine learning (ML)-based approaches to system development employ a fundamentally different style of programming than historically used in computer science. This approach uses example data to train ...

Machine-learning algorithms are responsible for the vast majority of the artificial intelligence advancements and applications you hear about. (For more background, check out our first flowchart ...

Vice President, AI & Quantum Computing, Paul Smith-Goodson, dives in as a few weeks ago, a new set of MLCommons training results were released, this time for MLPerf 2.1 Training, which the NVIDIA ...

The key to developing flexible machine-learning models that are capable of reasoning like people do may not be feeding them oodles of training data. Instead, a new study suggests, it might come ...

Chip specifics were not revealed, but Amazon claimed Trainium will offer the most teraflops of any machine learning instance in the cloud. The company says it will have a 30 percent higher throughput ...

At the upcoming Visual Studio Live!@ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will lead the session "Predicting the Future using Azure Machine Learning," ...

Microsoft announced on-device training of machine language models with the open source ONNX Runtime (ORT). The ORT is a cross-platform machine-learning model accelerator, providing an interface to ...