A research team from the Ningbo Institute of Materials Technology and Engineering (NIMTE) of the Chinese Academy of Sciences ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

Mixture-of-Recursions (MoR) is a new AI architecture that promises to cut LLM inference costs and memory use without ...

This paper proposes Auto-Ensemble (AE) to collect checkpoints of deep learning model and ensemble them automatically by adaptive learning rate scheduling algorithm. The advantage of this method is to ...

Agentic AI systems are revolutionizing how organizations approach complex workflows, introducing autonomous agents capable of multi-step reasoning, decision-making, and task execution that operate ...

EDIT: Just as we went live, we got bios updates from Gigabyte and MSI. See the video for more details. Today Leo discusses what has been going on behind the scenes in the last couple of days ...

In this paper, we present a novel resilient adaptive integrated sensing and communication (RAd-ISAC) framework. It aims to enhance ISAC systems for advanced driver-assistance systems (ADASs) to ...

How machine learning can slash grid losses and boost renewables In smart grid management, ML enables dynamic control of distributed energy sources, managing real-time energy flows and detecting faults ...