Abstract: Starting with the JPEG standard in the early 90s, in order to use storage space or transmission media more efficiently, various image and video compression methods have emerged. Within the ...

An experiment in composite AI thinking began with a simple premise: submit the same prompt to three frontier models — ChatGPT ...

Failure to secure influence over AI ecosystems risks forfeiting control over not just technology, but also economic ...

Nvidia (NASDAQ: NVDA) is showing signs of renewed momentum and a potential breakout after an extended period of consolidation ...

Google's TurboQuant algorithm is going to be a boon for the memory industry, setting these three stocks up for outstanding ...

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 ...

Abstract: We compare in this work the robustness of machine learning based image compression algorithms with classical algorithms such as JPEG. For this, we run adversarial attacks against [2] and [1] ...

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 ...

Google says a new compression algorithm, called TurboQuant, can compress and search massive AI data sets with near-zero indexing time, potentially removing one of the biggest speed limits in modern ...

TurboQuant is a compression algorithm introduced by Google Research (Zandieh et al.) at ICLR 2026 that solves the primary memory bottleneck in large language model inference: the key-value (KV) cache.