Researchers from MIT and elsewhere have developed a more user-friendly and efficient method to help networking engineers ...

"Optimization demands understanding hardware constraints at the silicon level," reflects Shaibujan Thankappan Kamalamma, whose career spans video codec work, streaming systems, and enterprise security ...

HOUSTON & FORT WORTH, Texas--(BUSINESS WIRE)--Axip Energy Services, LP and certain of its affiliates (collectively “Axip” or the “Company”) and Service Compression, LLC (“Service Compression”) today ...

Google’s TurboQuant is making waves in the AI hardware sector by addressing long-standing challenges in memory usage and processing efficiency. Developed with components like the Quantized ...

Vietnam, the world’s No. 2 rice exporter, cut production as power prices surged. Even with a temporary cease-fire in Iran, worries linger over the world’s food supply. A boat transporting newly ...

Wegmans has pulled a rice product off shelves that was recalled due to the possible presence of "foreign material." Two-pound bags of Lundberg Organic Jasmine White Rice are the focus of an ongoing ...

Forward-looking: Intel is pitching a new way to pack game textures that leans heavily on neural networks but still nods to traditional block compression. The company's Texture Set Neural Compression, ...

Intel and Nvidia showed off their respective AI-powered texture-compression technologies over the weekend, demonstrating impressive reductions in VRAM use while maintaining texture quality, or even ...

Memory prices are falling, and stock prices of memory companies took a hit, following news from Google Research of a breakthrough that will greatly reduce the amount of memory needed for AI processing ...

Google developed a new compression algorithm that will reduce the memory needed for AI models. If this breakthrough performs as advertised, it could drastically reduce the amount of memory chips ...

Micron Technology (MU) shares fell to $339 Monday as fears over Alphabet’s (GOOGL) TurboQuant AI memory-compression algorithm raised concerns about long-term demand for high-bandwidth memory across ...

Google has introduced TurboQuant, a compression algorithm that reduces large language model (LLM) memory usage by at least 6x while boosting performance, targeting one of AI's most persistent ...