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 describe a method that feeds AI data into quantum computers in smaller batches instead of storing entire datasets ...

Traditional graphics rendering could be in the rearview mirror soon enough ...

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

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

A research team has developed a Gaussian Splatting processing platform that supports end-to-end processing from data acquisition to multi-platform rendering. Their framework provides a solid ...

Researchers have developed a dynamic range compression dual-domain attention network for enhancing tunnel images under extreme exposure conditions, a problem that continues to challenge transportation ...

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are massive vector spaces in which the ...

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

Recent efforts to accelerate inference in Multimodal Large Language Models (MLLMs) have largely focused on visual token compression. The effectiveness of these methods is commonly evaluated by ...

Abstract: The widespread deployment of phasor measurement units (PMUs) has introduced unprecedented challenges in handling the transmission and storage of extensive synchrophasor data. Addressing ...

Running a 70-billion-parameter large language model for 512 concurrent users can consume 512 GB of cache memory alone, nearly four times the memory needed for the model weights themselves. Google on ...