This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. On March 24, 2026 Amir Zandieh and Vahab Mirrokni from Google Research published an article ...
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Compression technique makes AI models leaner and faster while they're still learning
Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...
Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises ...
The biggest memory burden for LLMs is the key-value cache, which stores conversational context as users interact with AI chatbots. The cache grows as conversations lengthen, ...
Will AI save us from the memory crunch it helped create?
Google thinks it's found the answer, and it doesn't require more or better hardware. Originally detailed in an April 2025 paper, TurboQuant is an advanced compression algorithm that’s going viral over ...
Google's TurboQuant combines PolarQuant with Quantized Johnson-Lindenstrauss correction to shrink memory use, raising ...
In its "Tuscan Wheels" demo, the company showed VRAM usage dropping from roughly 6.5GB with traditional BCN-compressed ...
Neural Texture Compression (NTC) optimized memory usage for either neural rendering or high-resolution texture and game data.
Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for Apple Silicon and llama.cpp.
New Google technology reduces the memory requirements of AI models. Investors were worried about slowing memory demand, but it's too early to make that call. That sparked fears among Sandisk investors ...
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