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The Telescope the Maker Criticized? A Deep Dive into the Spot Diagram

Explore the controversial telescope design that even its maker questioned. We break down the spot diagram to uncover the optics behind the criticism and what it means for your viewing experience.
IEEE

Structure Learning of Deep Gaussian and Non-Gaussian Information Fusion Framework for Automated Predictive Data Analytics

Abstract: To combine the strengths of Gaussian and non-Gaussian latent variable models, a novel information fusion strategy has recently been proposed under the deep learning framework. Although ...
News Medical

Deep learning model predicts adverse drug reactions from chemical structure

Adverse drug reactions (ADRs) are a significant cause of hospital admissions and treatment discontinuation worldwide. Conventional approaches often fail to detect rare or delayed effects of medicinal ...
C&EN

A Deep Learning Framework for the Electronic Structure of Water: Toward a Universal Model

Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 90871, P. R. China HEDPS, CAPT, College of Engineering, Peking University, Beijing 100871 ...
Engadget

Google introduces the Deep Think reasoning model for Gemini 2.5 Pro and a better 2.5 Flash

Google has started testing a reasoning model called Deep Think for Gemini 2.5 Pro, the company has revealed at its I/O developer conference. According to DeepMind CEO Demis Hassabis, Gemini's Deep ...
IEEE

A Multitask Deep Learning Model for Classification and Regression of Hyperspectral Images: Application to a Large-Scale Dataset

Abstract: Multitask learning is a widely recognized technique in the field of computer vision and deep learning domain. However, it is still a research question in remote sensing, particularly for ...
Frontiers

Cyclic peptide membrane permeability prediction using deep learning model based on molecular attention transformer

Membrane permeability is a critical bottleneck in the development of cyclic peptide drugs. Experimental membrane permeability testing is costly, and precise in silico prediction tools are scarce. In ...
Scientific Research Publishing

Goodall, R.E.A. and Lee, A.A. (2020) Predicting Materials Properties without Crystal Structure: Deep Representation Learning from Stoichiometry. Nature Communications, 11 ...

ABSTRACT: Predicting the material stability is essential for accelerating the discovery of advanced materials in renewable energy, aerospace, and catalysis. Traditional approaches, such as Density ...