Changing assumptions and ever-changing data mean the work doesn’t end after deploying machine learning ... factors in ML model monitoring. “First, models should monitor output and input ...

A machine learning model that processes text must not only ... they could not take advantage of parallel computing hardware and graphics processing units (GPU) in training and inference.

Now it turns out it took rather longer to develop the AI model for Nvidia's frame generation ... installed AI will be crammed in more of the graphics pipeline as Nvidia and Microsoft are bringing ...

Graphics Cards 'Infused with AMD DNA': FSR 4 has been announced with a healthy dose of machine learning and support for 30+ games at launch Graphics Cards AMD just gave us our first glimpse of FSR ...

AMD has been a fantastic partner for SIE for many years now, and I’m honored to announce that we have begun a deeper collaboration with a focus on Machine Learning-based technology for graphics ...

The system, dubbed VibroSense, comprises two core parts: a laser Doppler vibrometer and a deep learning model, which is a type of machine learning system ... minimally intrusive sensing devices to ...

"Downsampling for retinal implants is currently done by pixel averaging, which is essentially what graphics ... the researchers' machine learning approach, called an actor-model framework, was ...