NVIDIA researchers have proposed a neural compression method for material textures that enables random-access lookups and real-time decompression on GPUs, directly targeting the growing strain that ...

Nvidia researchers have proposed a neural compression method for material textures that, according to results reported in their preprint, can significantly reduce the texture memory footprint during ...

Spread the loveIn a significant leap for the pharmaceutical and biotech industries, QMatter, a London and Boston-based startup, has successfully raised $1.2 million in a pre-seed funding round. This ...

Researchers have shown that blending quantum computing with AI can dramatically improve predictions of complex, chaotic ...

Scientists have found a way to make AI much better at predicting complex, chaotic systems by tapping into the unique power of ...

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

Intel is developing a new technology that can significantly reduce the size of game textures, helping save storage space and ...

On March 24, 2026, Google Research announced a new suite of compression techniques for large-scale language models and vector search engines: TurboQuant, PolarQuant, and Quantized ...

Intel TSNC brings neural texture compression with up to 18x reduction, faster decoding, and flexible SDK support for modern GPU workflows.

If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...