Objectives Dementia prevention and climate action share a common imperative: safeguarding future generations’ health. Despite ...

Python Memory Management is a python library that makes it easy for a Python developer to get started using Persistent Memory (e.g., Intel Optane Non-Volatile DIMMs). The approach is to bring ...

Hilary N. Green, the James B. Duke Professor of Africana Studies at Davidson College, will present "The Porch Archives of Black Civil War Memory" as the 2025-2026 Timothy Donovan Lecturer at 6 p.m.

Anthropic’s new AutoDream feature introduces a fresh approach to memory management in Claude AI, aiming to address the challenges of cluttered and inefficient data storage. As explained by Nate Herk | ...

Abstract: The rapid growth of model parameters presents a significant challenge when deploying large generative models on GPU. Existing LLM runtime memory management solutions tend to maximize batch ...

At New America, our work spans across five issue areas—each essential to building a nation and a world where everyone can thrive. For over 25 years, New America’s insights and policy solutions have ...

Personal computer maker HP Inc. delivered solid fiscal first-quarter results that came in ahead of expectations today, but its stock was dropping in late trading after it provided a disappointing ...

When we talk about the cost of AI infrastructure, the focus is usually on Nvidia and GPUs — but memory is an increasingly important part of the picture. As hyperscalers prepare to build out billions ...

In this tutorial, we build a self-organizing memory system for an agent that goes beyond storing raw conversation history and instead structures interactions into persistent, meaningful knowledge ...

Researchers at Nvidia have developed a technique that can reduce the memory costs of large language model reasoning by up to eight times. Their technique, called dynamic memory sparsification (DMS), ...