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Search results for deep learning

Optics & Photonics Jan 7, 2025

AI technique generates clear images of thick biological samples without additional hardware

Depth degradation is a problem biologists know all too well: The deeper you look into a sample, the fuzzier the image becomes. A worm embryo or a piece of tissue may only be tens of microns thick, but the bending of light ...

Earth Sciences Jan 6, 2025

AI model predicts Arctic sea ice concentration up to a year in advance

An innovative artificial intelligence (AI) model, capable of predicting changes in Arctic sea ice up to a year in advance, has been developed. This model is expected to provide invaluable mid- to long-term forecasting information, ...

Biotechnology Jan 6, 2025

Framework tracks 'learning curve' of AI to decode complex genomic data

Researchers have introduced Annotatability—a powerful new framework to address a major challenge in biological research by examining how artificial neural networks learn to label genomic data. Genomic datasets often contain ...

Economics & Business Jan 6, 2025

AI model predicts optimal prices in uncertain times

Setting the right price for goods or services is essential for just about any business. Prices that are too low can reduce profits. Prices that are too high can drive away customers and lead to losses.

Molecular & Computational biology Dec 31, 2024

Introducing HORNET, a novel RNA structure visualization method that correlates sequence and 3D topology

National Cancer Institute researchers have developed a method called HORNET for characterizing 3D topological structures of large and flexible RNA molecules. Scientists used atomic force microscopy (AFM) with deep neural ...

Ecology Dec 20, 2024

Mitigating animal-vehicle collisions with field sensors, AI and ecological modeling

Collisions between animals and vehicles are a threat to conservation efforts and human safety, and have a massive cost for transport infrastructure managers and users.

Analytical Chemistry Dec 20, 2024

Neural networks unlock potential of high-entropy carbonitrides in extreme environments

The melting point is one of the most important measurements of material properties, which informs potential applications of materials in various fields. Experimental measurement of the melting point is complex and expensive, ...

Earth Sciences Dec 18, 2024

Machine learning framework improves groundwater recharge estimates in Western Australia

A new study led by Griffith University has unveiled a machine learning-based framework to accurately estimate groundwater recharge in the Perth Basin, with a particular focus on the Gnangara groundwater system.

Mathematics Dec 17, 2024

Can deep learning techniques predict sudden state transitions in nonlinear dynamical systems?

Nonlinear dynamical systems are systems that can undergo sudden shifts not due to changes in their state or stability, but in response to the rate at which external conditions or parameters change. These sudden shifts, known ...

Molecular & Computational biology Dec 11, 2024

New AI tool pinpoints gene splicing with unmatched precision

Johns Hopkins researchers have developed a powerful new AI tool called "Splam" that can identify where splicing occurs in genes—an advance that could help scientists analyze genetic data with greater accuracy, offering ...

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