When the companies disabled HEVC support built into the CPUs of select PCs, it raised uncomfortable questions: Why remove a ...

Part one explained the physics of quantum computing. This piece explains the target — how bitcoin's encryption works, why a ...

An AI model informed by calculations from a quantum computer can better predict the behavior of a complex physical system ...

As the joke goes, CRQC has been 10 to 20 years away for the past three decades. While the recent research suggests that ...

Google Research unveiled TurboQuant, a novel quantization algorithm that compresses large language models’ Key-Value caches ...

No mathematical seed. No deterministic shortcut. BBRES-RNG takes a fundamentally different approach to generating random numbers. Instead of relying on standard library algorithms or fixed ...

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.

Abstract: This paper proposed a satellite remote sensing image compression algorithm based on neural network architecture evolution, the method includes a neural network automatic evolution method, a ...

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 ...