Online LLM inference powers many exciting applications such as intelligent chatbots and autonomous agents. Modern LLM inference engines widely rely on request batching to improve inference throughput, ...

Abstract: This paper investigates the input coupling problem in a shape memory alloy (SMA) actuated parallel platform characterized by fully unknown nonlinear dynamics. In such a platform, the ...

MemRL separates stable reasoning from dynamic memory, giving AI agents continual learning abilities without model fine-tuning ...

Every time we open ChatGPT, Claude, or Gemini, we start from zero. Each conversation, each prompt, each insight erased the ...

Why static context don’t scale autonomy - durable agents require a living system that retains precedent, adapts as the business changes, and operates reliably.

Researchers from the Yong Loo Lin School of Medicine, National University of Singapore (NUS Medicine) and Duke University ...

Our minds have a tendency to latch onto negative experiences more strongly than positive ones. While occasional negative ...

While NVIDIA includes its CPU and RAM in its super-speed GPU fabric, AMD may have done something else altogether with its ...

Why today’s AI systems struggle with consistency and how emerging world models aim to give machines a steady grasp of space ...

Overview: Cloud-native and microservices architectures are becoming even more central to modern applications, with Java and ...

Abstract: Short-term time series forecasting is pivotal in various scientific and industrial fields. Recent advancements in deep learning-based technologies have significantly improved the efficiency ...

OpenJDK project teams will focus work on features such as value types, code reflection, AOT compilation, and structured ...