In addition to the financial burdens of HEVC licensing, the risk of lawsuits from patent holders can deter companies from ...
Part one explained the physics of quantum computing. This piece explains the target — how bitcoin's encryption works, why a ...
Google’s TurboQuant Compression May Support Faster Inference, Same Accuracy on Less Capable Hardware
Google Research unveiled TurboQuant, a novel quantization algorithm that compresses large language models’ Key-Value caches ...
Service providers must optimize three compression variables simultaneously: video quality, bitrate efficiency/processing power and latency ...
Quantum hardware and software are advancing rapidly – and our online encryption systems need to change to stay ahead.
Large language models (LLMs) aren’t actually giant computer brains. Instead, they are massive vector spaces in which the ...
The launch of Google's TurboQuant has fueled a nasty sell-off in artificial intelligence (AI) memory and storage stocks.
On March 25, 2026, Google Research published a paper on a new compression algorithm called TurboQuant. Within hours, memory ...
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 ...
“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 ...
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