Boinapally: This is a fundamental change for EDA. A lot of design is mundane work, where you have to do it over and over ...

How Artificial Intelligence is breaking barriers in Autism Diagnosis and Care For any parent, the early years are a most valuable countdown of “firsts” of his or her precious child: the first step, ...

Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in large language models to 3.5 bits per channel, cutting memory consumption ...

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.

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 ...

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 ...

As organizations increasingly rely on algorithms to rank candidates for jobs, university spots, and financial services, a new ...

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are effectively massive vector spaces in ...

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, ...

Is increasing VRAM finally worth it? I ran the numbers on my Windows 11 PC ...

Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises ...