Phys.org

Inference of Bayesian networks made fast and easy using an extended depth-first search algorithm

A Bayesian network is a directed acyclic graph (DAG) or a probabilistic graphical model used by statisticians. Vertices of this model represent different variables. Any connections between variables ...
InfoQ

Java Feature Spotlight: Local Variable Type Inference

In Java Futures at QCon New York, Java Language Architect Brian Goetz took us on a whirlwind tour of some recent and future features in the Java Language. In this article, he dives into Local Variable ...
VentureBeat

Google's new TurboQuant algorithm speeds up AI memory 8x, cutting costs by 50% or more

As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache ...
Network World

Tether is shipping TurboQuant KV-cache quantization with Vulkan support into its QVAC SDK

Tether successfully integrated Google’s TurboQuant into the inference engine of its local AI framework, QVAC. It is the ...
Electronic Design

Bring Deep-Learning Inference to Embedded Applications

Deep learning, probably the most advanced and challenging foundation of artificial intelligence (AI), is having a significant impact and influence on many applications, enabling products to behave ...

AI inference provider Baseten reportedly raising $1.5B in funding

Baseten Inc., a startup with a platform for running artificial intelligence inference workloads, is raising $1.5 billion in ...
TechCrunch

Google unveils TurboQuant, a new AI memory compression algorithm — and yes, the internet is calling it ‘Pied Piper’

If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...