DeepSeek's new Engram AI model separates recall from reasoning with hash-based memory in RAM, easing GPU pressure so teams run faster models for less.

Challenging the brain with new learning, like a new language, may build cognitive reserve and memory confidence.

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...

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

Researchers have learned a lot about how memory works. Their insights form the basis of clever strategies that help us ...

Through systematic experiments DeepSeek found the optimal balance between computation and memory with 75% of sparse model ...

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

Cryptocurrency should be treated as a high-volatility real asset, with allocations funded from risky portions of the portfolio to preserve balance. Recommended crypto exposure varies by risk tolerance ...

Researchers have created a protein that can detect the faint chemical signals neurons receive from other brain cells. By tracking glutamate in real time, scientists can finally see how neurons process ...

In a research article recently published in Space: Science & Technology, researchers from Dalian University of Technology, COSATS CO., Ltd. (Xi’an), and Xi’an Aerospace Propulsion Institute together ...

Abstract: Digital signal processors (DSPs) commonly employ indirect addressing mode using an address register (AR). For such DSPs, reduction in overhead codes over memory access is quite important in ...

A new technical paper titled “Special Session Paper: Formal Verification Techniques and Reliability Methods for RRAM-based Computing-in-Memory” was published by researchers at University of Bremen, ...