News

Deep learning method identifies transition states in protein conformational changes
In a study published in Nature Communications, researchers at the University of Wisconsin–Madison introduced a deep learning method capable of automatically identifying transition states in protein ...
Modern Engineering Marvels on MSN22h
Quantum Circuits, Deep Learning, and the Holographic Blueprint: How Physics Is Decoding the Heart of Black Holes
The three-dimensional world of ordinary experience—the universe filled with galaxies, stars, planets, houses, boulders, and ...
eLife2d
Deep Learning Reveals Endogenous Sterols as Allosteric Modulators of the GPCR-Gα Interface
Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...
American Institute of Physics2d
Algorithm improves electroencephalography’s sensitivity to depression-related brain activity
EEG’s sensitivity to depression-related brain behavior. The team’s method, the Inner Composition Alignment algorithm, results ...
Design-Reuse6d
Allegro DVT Releases New Versions of its Encoder and Decoder IPs with Support for 12-bit sample size and 4:4:4 Chroma Format
March 11, 2021 -- Allegro DVT, the leading provider of video processing silicon IPs, today announced the release of new versions of its D3x0 and E2x0 decoder and encoder IPs with extended of sample ...
IEEE18d
Deep Encoder–Decoder Networks for Classification of Hyperspectral and LiDAR Data
Abstract: Deep learning (DL) has been garnering increasing attention ... we present a simple but effective multimodal DL baseline by following a deep encoder–decoder network architecture, EndNet for ...
IEEE24d
DeepCEDNet: An Efficient Deep Convolutional Encoder-Decoder Networks for ECG Signal Enhancement
In this paper, an efficient deep convolutional encoder-decoder network framework is proposed to remove the noise from ECG signal, which is termed as `DeepCEDNet'. This network is able to learn a ...
TechCrunch6d
From LLMs to hallucinations, here’s a simple guide to common AI terms
The structure of deep learning algorithms draws inspiration from the interconnected pathways of neurons in the human brain. Deep learning AI models are able to identify important characteristics ...