A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...
Researchers at the Faculty of Computational Mathematics and Cybernetics of Moscow State University have introduced an advanced neural method for detecting and matching key points on iris images. This ...
Autonomous weeding robots are modernising agriculture by using AI vision to identify and remove weeds with speed and consistency.
A new AI dataset teaches machines to smell by associating smell data with images, letting models match odors to objects, ...
Morning Overview on MSN
Why Tesla built Dojo to supercharge autonomy
Tesla did not build Dojo as a vanity project or a generic data center. It set out to create a purpose-built AI supercomputer ...
Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...
Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...
IISc Bangalore Deep Learning Course 2025: The Indian Institute of Science (IISc), Bengaluru, in collaboration with SWAYAM, is ...
A new technical paper titled “Modeling and Optimizing Performance Bottlenecks for Neuromorphic Accelerators” was published by ...
This valuable study investigates how perceptual and semantic features of maternal behavior adapt to infants' attention during naturalistic play, providing new insights into the bidirectional and ...
Kapoor, J. (2025) Advantages of Hyperspectral Remote Sensing for Harmful Algal Bloom Detection. Journal of Geoscience and ...
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