FriendliAI also offers a unique take on the current memory crisis hitting the industry, especially as inference becomes the ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...

For customers who must run high-performance AI workloads cost-effectively at scale, neoclouds provide a truly purpose-built ...

The new version of the in-memory database offers more than five times the throughput on ARM systems and extended features for streams and time-series.

Getting LLMs to run at home.

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

The Stellar P3E is the first automotive microcontroller to ship with ST’s Neural-ART Accelerator. It offers a 20x to 30x ...

Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...

An AI-powered model developed at the University of Michigan can read a brain MRI and diagnose a person in seconds, a study suggests. The model detected neurological conditions with up to 97.5% ...