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Analytics Insight8d
Data Scientist Implements Autoencoder Deep Learning Model for Detecting Anomalies in Home Furnaces, Prioritizing Safety and Minimize Risk
As the AI and data science arena continuously evolves at a tremendous pace, technology is revolutionizing how we think about ...
Tech Xplore on MSN9d
Perfect is the enemy of good for distributed deep learning in the cloud
A new communication-collective system, OptiReduce, speeds up AI and machine learning training across multiple cloud servers by setting time boundaries rather than waiting for every server to catch up, ...
Harnessing generative AI to expand the mitochondrial targeting toolkit
The mitochondrion plays critical roles in cellular function, making it a prime organelle to target for fundamental studies, ...
Tech Xplore on MSN14d
A new way to measure uncertainty provides an important step toward confidence in AI model training
It's obvious when a dog has been poorly trained. It doesn't respond properly to commands. It pushes boundaries and behaves unpredictably. The same is true with a poorly trained artificial intelligence ...
IEEE19d
A Novel PAPR Reduction Scheme Based on Deep Autoencoder Network for FBMC Systems
In this paper, we propose a novel deep learning (DL)-based PAPR reduction scheme for FBMC systems. This innovative approach employs a deep denoising autoencoder (DAE) network in the time domain to ...