Long context AI no longer means using data centres thanks to Tether acting swiftly on groundbreaking research from Google.

Audiofile Engineering’s Fidelia plays your music collection with bit-perfect accuracy and lets you shape the sound through ...

Darius Dale, CEO & Founder, 42 Macro breaks down why the puck is moving away from the Mag 7 — and where capital is rotating ...

Resource-efficient, error-corrected quantum computers will arrive sooner than expected, experts say, as breakthroughs appear and snowball. Microsoft, Google and ...

Tensor networks enable researchers to tackle quantum physics problems previously thought to be solvable only by quantum computers. Credit: Lucy Reading-Ikkanda/Simons Foundation By applying a 1980s ...

Quantum computers located in a data center. Photo: Sven Hoppe/dpa (Photo by Sven Hoppe/picture alliance via Getty Images) To understand what quantum computers actually threaten, you first need to know ...

A lot has been made about a post-quantum computer future in which traditional encryption methods have suddenly been rendered obsolete. With this terrifying idea in mind, it’s reassuring to see some ...

Google’s TurboQuant is making waves in the AI hardware sector by addressing long-standing challenges in memory usage and processing efficiency. Developed with components like the Quantized ...

Memory prices are falling, and stock prices of memory companies took a hit, following news from Google Research of a breakthrough that will greatly reduce the amount of memory needed for AI processing ...

In a blog post published last week, Google announced that its scientists had developed an AI memory-compression algorithm, dubbed TurboQuant. "We introduce a set of advanced, theoretically grounded ...

We have seen the future of AI via Large Language Models. And it's smaller than you think. That much was clear in 2025, when we first saw China's DeepSeek — a slimmer, lighter LLM that required way ...

Google has unveiled TurboQuant, a new AI compression algorithm that can reduce the RAM requirements for large language models by 6x. By optimizing how AI stores data through a method called ...