Transactive Memory May Be The Key To Unlocking Value With Agentic AI

The key in agentic AI is establishing clear "expertise directories" and communication protocols using transactive memory ...

DeepSeek’s conditional memory fixes silent LLM waste: GPU cycles lost to static lookups

Through systematic experiments DeepSeek found the optimal balance between computation and memory with 75% of sparse model ...
IEEE

MPM: Multi Patterns Memory Model for Short-Term Time Series Forecasting

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 ...
InfoWorld

Oracle unveils Java development plans for 2026

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

Differentiable Cost Model for Neural-Network Accelerator Regarding Memory Hierarchy

Abstract: Dedicated neural-network inference-processors improve latency and power of the computing devices. They use custom memory hierarchies that take into account the flow of operators present in ...
Mint

Why this 4TB DDR5 Memory Kit costs more than a Tesla Model Y

A newly listed enterprise-grade DDR5 memory kit has caught attention online for an unexpected reason: its price tag now rivals that of a premium electric car.(NEMIXRAM) A newly listed enterprise-grade ...
GitHub

Cuq: A MIR-to-Coq Framework Targeting PTX for Formal Semantics and Verified Translation of Rust GPU Kernels

Rust's rise as a systems language has extended into GPU programming through projects like Rust-CUDA and rust-gpu, which compile Rust kernels to NVIDIA's PTX or SPIR-V backends. Yet despite Rust's ...