MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, launched an independently developed FPGA-based hardware abstraction technology platform for quantum ...

"I was very surprised to see a single TurboQuant algorithm influencing even the hardware and memory markets." Han In-su, a professor in the School of Electrical Engineering at KAIST, said this on the ...

Learn why Google’s TurboQuant may mark a major shift in search, from indexing speed to AI-driven relevance and content discovery.

Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in ...

Despite these advances, the study underscores a critical limitation: the energy–intelligence paradox. Large AI models require ...

Google thinks it's found the answer, and it doesn't require more or better hardware. Originally detailed in an April 2025 ...

As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache ...

I encountered a runtime error related to NaNs during quantization and would like to ask whether this is a known issue.

The model is pre-trained on 25T tokens using a Warmup Stable Decay learning rate schedule with a batch size of 3072, a peak learning rate of 1e-3 and a minimum learning rate of 1e-5. The NVFP4 ...

From the Department of Bizarre Anomalies: Microsoft has suppressed an unexplained anomaly on its network that was routing traffic destined to example.com—a domain reserved for testing purposes—to a ...

As Immigration and Customs Enforcement was racing to add 10,000 new officers to its force, an artificial intelligence error in how their applications were processed ...