Search results for deep learning

Optics & Photonics Jun 9, 2025

AI-designed waveguides pave the way for next-generation photonic devices

A team of researchers at the University of California, Los Angeles (UCLA) has introduced a novel framework for designing and creating universal diffractive waveguides that can control the flow of light in highly specific ...

Astronomy Jun 6, 2025

Self-learning neural network cracks iconic black holes

A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions of synthetic black hole data sets. Based on the network and data from the Event Horizon Telescope, ...

Optics & Photonics Jun 3, 2025

AI algorithms approach the theoretical limit of optical measurement precision

No image is infinitely sharp. For 150 years, it has been known that no matter how ingeniously you build a microscope or a camera, there are always fundamental resolution limits that cannot be exceeded in principle. The position ...

Environment May 30, 2025

AI model uses transfer learning to forecast storm flooding in data-scarce areas

The 2025 hurricane season officially begins on June 1, and it's forecast to be more active than ever, with potentially devastating storms whose heavy rainfall and powerful storm surges cause dangerous coastal flooding.

Earth Sciences May 27, 2025

Scientists develop AI model to enhance seasonal Arctic sea ice prediction

Predicting the extent of Arctic sea ice in September has significant implications for climate change and shipping in the Arctic. However, seasonal forecasts for September sea ice often encounter a challenge known as the "spring ...

Ecology May 23, 2025

Scientists develop model for tracking agricultural impact on lake ecosystems

A recent study has introduced a novel data-driven model that distinguishes between human-induced and natural water consumption in croplands, providing valuable insights into the sustainability of arid lake ecosystems.

Analytical Chemistry May 19, 2025

Smarter, faster AI models explored for molecular and materials discovery

Cornell researchers are demonstrating how artificial intelligence—particularly deep learning and generative modeling—can accelerate the design of new molecules and materials, and even function as an autonomous research assistant.

Cell & Microbiology May 19, 2025

AI predicts bacterial swarming from a single blurry image, unlocking new diagnostic possibilities

Swarming is one of the principal forms of bacterial motility facilitated by flagella and surfactants. It plays a distinctive role in both disease and healing. For example, in urinary tract infections (UTIs), swarming bacteria ...

Biochemistry May 15, 2025

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 conformational changes, ...

General Physics May 14, 2025

Scientists are developing machine learning tools for improving particle accelerator operations

One of the things that makes the main particle accelerator at the U.S. Department of Energy's Thomas Jefferson National Accelerator Facility unique is that it was the first linear accelerator to deliver a continuous stream ...

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