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TrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, ...
A research team from the Ningbo Institute of Materials Technology and Engineering (NIMTE) of the Chinese Academy of Sciences ...
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 ...
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Leo Says 58: Intel RKL & Adaptive Boost Technology - MSNEDIT: 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 ...
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