A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

TrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, ...

Laerdal Medical is one of the world’s leading suppliers of models for teaching people how to do CPR, intubate a patient or ...

Despite the AI hype, tools are proving valuable for leading-edge chip manufacturing. More aggressive feature scaling and ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

Traditionally, drug discovery relied heavily on trial and error, with long timelines and high costs. The introduction of ...

Although they mostly go unnoticed by humans, small earthquakes occur much more frequently than large earthquakes, and knowing ...

WeTransfer users feared the company was set to train AI models on their data. The controversy exposed growing trust issues ...

AI tool enables developers to build and deploy robust, resource-intensive machine learning models on edge devices ...

By Bismark SAKYI The promise of artificial intelligence (AI) and machine learning (ML) to revolutionise anti-money laundering (AML) programmes has dominated headlines in recent years. From reducing ...

Cloudian’s new PyTorch connector is built on Nvidia Corp.’s GPUDirect Storage technology and optimized for Nvidia Spectrum-X ...