FireANTs unlocks faster medical image matching, cutting analysis from a week to minutes

Penn Engineers have developed an open-source algorithm that combines the speed of AI with the precision of geometry to ...
The New York Times

Anthropic’s C.E.O. Says It Could Grow by 80 Times This Year

The chief executive, Dario Amodei, said the rapid growth had exponentially increased the start-up’s need for more computing power. By Natallie Rocha Reporting from San Francisco Dario Amodei, the ...
TechSpot

At Nvidia, compute already costs more than employees. The rest of corporate America is catching up

Bottom line: Escalating demand for artificial intelligence is beginning to reshape how companies allocate their technology budgets, with compute costs in some cases outpacing traditional labor ...
TechCrunch

Google to invest up to $40B in Anthropic in cash and compute

Google plans to invest up to $40 billion in Anthropic and support the AI firm’s growing computing needs, Bloomberg reports. The Alphabet subsidiary is committing to invest $10 billion now, at a $350 ...
New Scientist

We might finally know how to use quantum computers to boost AI

Quantum computers might eventually be able to handle some AI applications that currently require huge amounts of conventional computing power. Such a development would be a major boost to machine ...
Wall Street Journal

The Algorithm Will See You Now

Speaking at WSJ Opinion Live in Washington, D.C., WSJ Editorial Page Editor Paul Gigot and SandboxAQ CEO Jack Hidary discuss Large Quantitative Models (LQMs) and their role in AI applications, the ...
Digi Times

Analysis: Agent computers target next PC role, push AI compute to the edge

AI agents are moving beyond chat into execution, handling tasks, workflows, and decisions. That shift is giving rise to a new hardware category: the agent computer. Built for persistent, local AI ...
TechCrunch

Anthropic ups compute deal with Google and Broadcom amid skyrocketing demand

AI research lab Anthropic announced Monday that it signed a new agreement with Google and Broadcom for increased processing and compute capacity to power its Claude AI models. This reworking of its ...
Digi Times

In-depth: Google TurboQuant cuts LLM memory 6x, resets AI inference cost curve

Google has introduced TurboQuant, a compression algorithm that reduces large language model (LLM) memory usage by at least 6x while boosting performance, targeting one of AI's most persistent ...
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 ...
Ars Technica

Google’s TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...