Prior research on recognition memory has commonly used static cues (e.g., images) to evaluate familiarity-based item memory and recollection-based associative memory. Dynamic cues (e.g., videos) offer ...

In October 2025, CyberPress reported a critical security vulnerability in the Redis Server, an open-source in-memory database that allowed authenticated attackers to achieve remote code execution ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

As the demand for reasoning-heavy tasks grows, large language models (LLMs) are increasingly expected to generate longer sequences or parallel chains of reasoning. However, inference-time performance ...

Dynamic mechanisms of engram maturation. During the allocation, engram allocation is primarily governed by enhancements in intrinsic neuronal excitability, driven primarily by increased ...

Current memory systems for large language model (LLM) agents often struggle with rigidity and a lack of dynamic organization. Traditional approaches rely on fixed memory structures—predefined storage ...

Efficient use of GPU memory is essential for high throughput LLM inference. Prior systems reserved memory for the KV-cache ahead-of-time, resulting in wasted capacity due to internal fragmentation.

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Ruth Linehan explains how migrating ...

If you want to improve and optimize Hyper-V VM Performance on your Windows computer, go through the tips and tweaks mentioned below. Dynamic Memory lets you add more memory to a virtual machine (VM) ...

Safe C++ Extensions proposal would provide C++ developers with memory-safe implementations of essential data structures and algorithms, along with features that prevent common memory-related errors.