Compression reduces bandwidth and storage requirements by removing redundancy and irrelevancy. Redundancy occurs when data is sent when it’s not needed. Irrelevancy frequently occurs in audio and ...

Bernstein upgraded Western Digital to Outperform from Market Perform, hiking its price target to $340 from $170, arguing that a sharp pullback driven by fears over Google’s new TurboQuant compression ...

A new compression technique from Google Research threatens to shrink the memory footprint of large AI models so dramatically ...

A small error-correction signal keeps compressed vectors accurate, enabling broader, more precise AI retrieval.

Even as models keep getting larger, some companies are moving models in the opposite direction — with some impressive results. Caltech-originated AI ...

The Google Research team developed TurboQuant to tackle bottlenecks in AI systems by using "extreme compression".

DDR5 RAM prices are finally dropping after months of inflation, according to Wccftech. Consumers and hardware manufacturers ...

Google Quantum just cut the qubit requirement to break Bitcoin encryption by 20x, and 6.7 million crypto addresses are in risk.

The biggest memory burden for LLMs is the key-value cache, which stores conversational context as users interact with AI ...

Google's new TurboQuant algorithm drastically cuts AI model memory needs, impacting memory chip stocks like SK Hynix and ...

Spread the loveIn a groundbreaking development that has sent shockwaves through the tech industry, Google announced the launch of its new AI compression algorithm, TurboQuant. This innovative ...

Google's TurboQuant reduces the KV cache of large language models to 3 bits. Accuracy is said to remain, speed to multiply.