Researchers have developed a new way to compress the memory used by AI models to increase their accuracy in complex tasks or help save significant amounts of energy.

Stanford, CMU, Penn, MIT, and SkyWater Technology reached a major milestone by producing the first monolithic 3D chip ...

Get the most out of AI tools using these best AI prompts to improve your chatbots efficiency and effectiveness and achieve ...

From computers to cellphones and even certain features in cars, a lot of electronics rely on random-access memory, or RAM. It’s the fundamental hardware your computer processor needs to run ...

Big artificial intelligence models are known for using enormous amounts of memory and energy. But a new study suggests that ...

For more than a year, Alaska’s court system has been designing a pioneering generative AI chatbot termed the Alaska Virtual ...

According to McKinsey, nine in 10 organizations use AI in at least one business function, yet less than half are either doing ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

If we want to avoid making AI agents a huge new attack surface, we’ve got to treat agent memory the way we treat databases: with firewalls, audits, and access privileges. The pace at which large ...

Until now, AI services based on large language models (LLMs) have mostly relied on expensive data center GPUs. This has ...

The Chinese AI lab may have just found a way to train advanced LLMs in a manner that's practical and scalable, even for more cash-strapped developers.

SAN JOSE, Calif.--(BUSINESS WIRE)--Kioxia America, Inc. today announced a collaboration between Kioxia Corporation, Tsubakimoto Chain Co. (Tsubakimoto Chain) and EAGLYS Inc. (EAGLYS) to develop ...