Google researchers have proposed TurboQuant, a method for compressing the key-value caches that large language models rely on ...

Strategic investment facilitates collaboration on next-generation AI infrastructure optimized for memory-intensive ...

Biomedical data analysis has evolved rapidly from convolutional neural network-based systems toward transformer architectures and large-scale foundation ...

A new development within the Qlean Dataset division, which focuses on providing datasets for institutions engaged in research and development, with rights cleared for AI training and large-scale data ...

The capabilities of large-scale pre-trained AI models have recently skyrocketed, as demonstrated by large-scale vision-language models like CLIP or ChatGPT. These typical generalist models can perform ...

The U.S. military is working on ways to get the power of cloud-based, big-data AI in tools that can run on local computers, draw upon more focused data sets, and remain safe from spying eyes, ...

Questions remain around whether LLM ads can be evaluated with the same rigor as the rest of advertisers’ media plans, writes ...

People have always looked for patterns to explain the universe and to predict the future. “Red sky at night, sailor’s delight. Red sky in morning, sailor’s warning” is an adage predicting the weather.

Pretrained large-scale AI models need to 'forget' specific information for privacy and computational efficiency, but no methods exist for doing so in black-box vision-language models, where internal ...