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 ...
Abstract: The exponential growth of Large Language Model (LLM) intensifies hardware demands for energy-efficient, low-latency architectures with scalable memory bandwidth. While 3D chiplet integration ...
The article introduces a dynamic ETF allocation model using the CAPE-MA35 ratio—the Shiller CAPE divided by its 35-year moving average—to identify market phases and adjust portfolio exposure. The ...
This experiment demonstrates how static electricity can “remember” previous charges, revealing surprising properties of electrical interactions and material behavior. They sealed humans inside a fake ...
Forbes contributors publish independent expert analyses and insights. This article discusses memory and chip and system design talks at the 2025 AI Infra Summit in Santa Clara, CA by Kove, Pliops and ...
LWMalloc is an ultra-lightweight dynamic memory allocator designed for embedded systems that is said to outperform ptmalloc used in Glibc, achieving up to 53% faster execution time and 23% lower ...
The lightweight allocator demonstrates 53% faster execution times and requires 23% lower memory usage, while needing only 530 lines of code. Embedded systems such as Internet of Things (IoT) devices ...
Memories of places "drift" across the brain as they are carried by different sets of neurons over time, a new study in mice suggests. Historically, neuroscientists thought that memories of locations ...
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