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A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...

The Jabra Evolve3 headset duo know a thing or two about work/life balance, with AI-enhanced noise cancelling for ...

Multi-tasking robots equipped with artificial intelligence will change the world. Mankind has to be ready to get the best out ...

Neuromorphic computing seeks to emulate the structural and functional organization of the brain, enabling computational systems to operate in ways that resemble biological neural processing. Its ...

The efficacy of deep residual networks is fundamentally predicated on the identity shortcut connection. While this mechanism effectively mitigates the vanishing gradient problem, it imposes a strictly ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

Background: Quantum computing (QC) has emerged as an innovative technology to enhance machine learning through quantum mechanical properties such as superposition, entanglement, and projection into ...