UC San Diego cognitive scientist Philip Guo created Python Tutor, a free tool that makes code “visible” step by step. The research behind it earned a Test of Time award, recog ...

The rush to boost production of memory chips to meet fast accelerating demand from artificial intelligence will add to the ...

Phison's CEO predicts growing interest in running AI models, such as OpenClaw, over PCs threatens to extend the memory shortage. It could also solve the crunch too.

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.

Abstract: To leverage the complementary physical characteristics (e.g., dynamic response) of fuel cells (FCs) and supercapacitors (SCs), effective energy management strategies (EMSs) need to be ...

New hacking cluster exploits web servers and Mimikatz to infiltrate Asian infrastructure for long-term espionage in aviation, ...

Abstract: The rapid growth of model parameters presents a significant challenge when deploying large generative models on GPU. Existing LLM runtime memory management solutions tend to maximize batch ...

AMD's VP of AI software vibe coded the driver entirely using Claude Code, but it's meant for testing, not for deployment to ...

⭐ If you like our project, please give us a star on GitHub for the latest updates! LightMem is a lightweight and efficient memory management framework designed for Large Language Models and AI Agents.

AI tools start every session with amnesia. Your preferences, decisions, past mistakes -- all gone. You repeat yourself. The AI re-discovers things you already told it. Context windows reset, and weeks ...

When we talk about the cost of AI infrastructure, the focus is usually on Nvidia and GPUs — but memory is an increasingly important part of the picture. As hyperscalers prepare to build out billions ...