New AI memory method lets models think harder while avoiding costly high-bandwidth memory, which is the major driver for DRAM ...

DeepSeek’s latest training research arrives at a moment when the cost of building frontier models is starting to choke off ...

A research paper by scientists at Hainan University proposed FSS-eq2Seq as a 2-stage strategy for gait synergy modeling in lower limb assistive devices to achieve synergic and user-adaptive ...

Anti-forgetting representation learning method reduces the weight aggregation interference on model memory and augments the ...

It seems like yesterday, long before there were handheld GPS units, smart phones and even Google Maps that my staff and I were prepping for another set of proof of performance measurements. Drawing ...

Researchers at the Department of Energy’s Oak Ridge National Laboratory (ORNL) have developed a dynamic modeling method that uses machine learning to provide accurate simulations of grid behavior and ...

Classical computations rely on binary bits, which can be in either of the two states, 0 or 1. In contrast, quantum computing is based on qubits, which can be 0, 1, or a superposition or entanglement ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...