Recent studies have shown that mRNA can be acetylated (ac4c), altering mRNA stability and translation efficiency; however, the role of mRNA acetylation in the brain remains unexplored. In this ...

Abstract: This paper proposes a novel dynamic memory event-triggered predefined-time control method for stochastic nonlinear time-delay systems with unknown input hysteresis. Different from existing ...

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 ...

Micron and SanDisk have delivered tremendous gains over the past 12 months. Both companies have strong growth prospects thanks to soaring demand for their memory products. Micron makes multiple types ...

This study uses a Bayesian framework to characterize latent brain state dynamics associated with memory encoding and performance in children, as measured with functional magnetic resonance imaging.

. ├── scripts/ # Evaluation and analysis scripts │ ├── main.sh # Main evaluation script │ ├── ablation_attack.sh │ └── ablation_benign.sh ├── agentsys_benchmark.py # Main benchmark runner ├── ...

RAG isn't always fast enough or intelligent enough for modern agentic AI workflows. As teams move from short-lived chatbots to long-running, tool-heavy agents embedded in production systems, those ...

Memory chip makers have seen their stocks soar. Demand from AI data centers has outweighed supply, creating an "unprecedented" shortage. Analysts say the dynamic supports an AI-fueled memory ...

A new technique developed by researchers at Shanghai Jiao Tong University and other institutions enables large language model agents to learn new skills without the need for expensive fine-tuning. The ...

Tech companies have raced to build out compute capacity to fuel their AI ambitions but are now faced with a new bottleneck: memory capacity. The crunch comes as workloads shift from training models to ...