InfoWorld

Multi-token prediction technique triples LLM inference speed without auxiliary draft models

With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.
IEEE

Memory Robot Design: A New Perspective From Human Brain Model and Large Language Model

Abstract: With the spread of generative AI, the study proposed a memory-based cognitive robot architecture by using a Large Language Model (LLM), inspired by the working memory of the human brain ...
IEEE

Evaluating Memory Management and Garbage Collection Algorithms with Virtual Threads in High-Concurrency Java Applications

Abstract: Garbage collection (GC) is a critical memory management mechanism within the Java Virtual Machine (JVM) responsible for automating memory allocation and reclamation. Its performance affects ...
GitHub

Feature Request: Configurable Memory Indexing Concurrency

During openclaw memory index, the indexer processes files with limited concurrency (~4 workers observed), resulting in low GPU utilization when using remote embedding providers with high-capacity GPUs ...
Geeky Gadgets

DRAM Memory Shortage Crisis Explained : When Will Memory Prices Calm After the AI Surge

What happens when the backbone of modern technology, memory, becomes a scarce resource? The global DRAM shortage isn’t just a supply chain hiccup; it’s a full-blown crisis reshaping industries from AI ...