A lot has been made about a post-quantum computer future in which traditional encryption methods have suddenly been rendered ...

Independent researcher Giancarlo Lelli broke a 15-bit elliptic curve key on publicly accessible quantum hardware, 512 times ...

Google Research unveiled TurboQuant, a novel quantization algorithm that compresses large language models’ Key-Value caches ...

Quantum hardware and software are advancing rapidly – and our online encryption systems need to change to stay ahead.

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 ...

Intel and Nvidia showed off their respective AI-powered texture-compression technologies over the weekend, demonstrating impressive reductions in VRAM use while maintaining texture quality, or even ...

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 ...

Traditional encryption methods have long been vulnerable to quantum computers, but two new analyses suggest a capable enough machine may be built much sooner than previously thought ...

Forbes contributors publish independent expert analyses and insights. Tim Bajarin covers the tech industry’s impact on PC and CE markets. This voice experience is generated by AI. Learn more. This ...

“I’m not just the first at the Star, I’m basically the first at Reach to just be dedicated to nothing but MSN for a job…Thus my six-month journey through the ...

A team of researchers led by California Institute of Technology computer scientist and mathematician Babak Hassibi says it has created a large language model that radically compresses its size without ...

Google developed a new compression algorithm that will reduce the memory needed for AI models. If this breakthrough performs as advertised, it could drastically reduce the amount of memory chips ...