UC San Diego Today

Mapping Protein Production in Brain Cells Yields New Insights for Brain Disease

The brain’s ability to do everything from forming memories to coordinating movement relies on its cells producing the right proteins at the right time. But directly measuring this protein production, ...
IEEE

Refined Two-Sided Learning Rate Tuning for Robust Evaluation in Federated Learning

Abstract: This paper investigates the impact of client and server learning rates on training deep neural networks in Federated Learning (FL). While previous research has primarily focused on ...
Hardcore Gamer

Season 2's Contaminated Map is Fine, But Not Enough to Reignite Interest in Battlefield 6

Battlefield 6 Season 2's Contaminated map is fine and beautiful, but it's not going to be enough to win players back.

Fast AI for satellite learns to quantify uncertainty

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...
IEEE

Sensing Radio Maps via Bayesian Tensor Learning

Abstract: Spatial-spectral radio map estimation (RME) from sparsely deployed sensors can be viewed as a tensor learning problem. Among tensor models, the block-term decomposition (BTD) model is ...
GitHub

OS-R1: Agentic Operating System Kernel Tuning with Reinforcement Learning

OS-R1 is an agentic Linux kernel tuning framework that leverages reinforcement learning (RL) and large language models (LLMs) for efficient kernel configuration. It introduces a rule-based RL approach ...
EurekAlert!

Exploiting large language model with reinforcement learning for generative job recommendations

With the rapid advancement of Large Language Models (LLMs), an increasing number of researchers are focusing on Generative Recommender Systems (GRSs). Unlike traditional recommendation systems that ...

Why VCs Are Going Back To School To Master Human-In-The-Loop AI Systems

As artificial intelligence continues to reshape industries at an unprecedented pace, venture capitalists face a critical knowledge gap: understanding how humans and AI systems collaborate most ...
InfoQ

Autonomous Big Data Optimization: Multi-Agent Reinforcement Learning to Achieve Self-Tuning Apache Spark

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...