This is a column about a helpful trick that will radically improve your memory with minimal effort so you can learn faster. But before I get to the science behind the technique and how it can help ...

This year, there won't be enough memory to meet worldwide demand because powerful AI chips made by the likes of Nvidia, AMD and Google need so much of it. Prices for computer memory, or RAM, are ...

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 ...

Due to oss-fuzz testing of GraphicsMagick (including libtiff), it has been discovered that lz_decoder.c can allocate an unconstrained amount of memory regardless of requested memory limits. Several ...

Tell me about what you had for dinner last night. There are different ways you could fill in the details of that story. You could give perceptual descriptions of how your food looked and tasted. Or ...

A research team led by Kyushu University has developed a new fabrication method for energy-efficient magnetic random-access memory (MRAM) using a new material called thulium iron garnet (TmIG) that ...

A diagram of the material developed using on-axis magnetron sputtering. By applying a current through the platinum material on top of the TmIG, researchers were able to reverse the magnetization ...

Huawei’s Computing Systems Lab in Zurich has introduced a new open-source quantization method for large language models (LLMs) aimed at reducing memory demands without sacrificing output quality.

Developed on TSMC's advanced N6e platform, these compilers are optimized for ultra-low power consumption to meet the stringent requirements of AI-driven edge and IoT devices. Building on its proven ...