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Tech Xplore on MSN3d
Deep-learning system teaches soft, bio-inspired robots to move using only a single camera
Conventional robots, like those used in industry and hazardous environments, are easy to model and control, but are too rigid ...
IEEE9d
A Malware Detection Approach Using Autoencoder in Deep Learning
Today, in the field of malware detection, the expanding limitations of traditional detection methods and the increasing accuracy of detection methods designed on the basis of artificial intelligence ...
PsyPost on MSN2d
Scientists use deep learning to uncover hidden motor signs of neurodivergence
A new study published in Scientific Reports has introduced a promising diagnostic tool that could dramatically shorten the long wait times many families face when seeking evaluations for autism and ...
IEEE7d
New Hybrid Deep Learning Models to Predict Cost From Healthcare ...
This paper proposes three hybrid Deep Learning (DL) models, Visual Geometry Group and Stacked Autoencoder (VGG-SAE), Visual Geometry Group and Deep Neural Network (VGG-DNN), and Stacked Autoencoder ...
Deep learning–enhanced Raman spectroscopy enables accurate identification of synthetic cannabinoids
Synthetic cannabinoids, a class of new psychoactive substances, have emerged as a significant public health and social ...
Tech Xplore on MSN5d
Approach improves how new skills are taught to large language models
Researchers have developed a technique that significantly improves the performance of large language models without ...
Scientific Research Publishing4d
Machine Learning-Based Outlier Detection in Long-Term Climate Data: Evidence from Burkina Faso’s Synoptic Network ()
Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...