Developed by Professor Sanjay Mehrotra, the Sliding Scale AdaptiVe Expedited (SAVE) algorithm could improve organ allocation ...

Google's TurboQuant combines PolarQuant with Quantized Johnson-Lindenstrauss correction to shrink memory use, raising ...

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 ...

Today, Zacks Investment Ideas feature highlights Alphabet's GOOGL, Sandisk Corp. SNDK and Micron Technology MU. Did Alphabet Just End the AI Memory Boom? Memory stocks got hammered this week after ...

Investors were spooked by a new Google compression algorithm that makes AI models more efficient and requires less memory. Rising fears about a recession and higher inflation contributed to the ...

SanDisk (SNDK) stock fell to $623 as the company commits $1B to acquire a ~4% stake in Nanya Technology, with quarterly free cash flow of $980M raising investor concerns about timing amid trade policy ...

The compression algorithm works by shrinking the data stored by large language models, with Google’s research finding that it can reduce memory usage by at least six times “with zero accuracy loss.” ...

In a landmark decision, a California jury has awarded $3 million to a 20-year-old woman who claimed Meta’s Instagram and Google’s YouTube intentionally design their platforms to be addictive and ...

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 ...

As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache ...

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...