Google DeepMind’s Demis Hassabis on the long game of AI

A decade ago, Hassabis's lifelong enduring love of play and AI led to AlphaGo beating the world's deepest board game. The ...

Machine learning accelerates analysis of fusion materials

Tungsten's superior performance in extreme environments makes it a leading candidate for plasma-facing components (PFCs) in ...
eLife

New idtracker.ai rethinks multi-animal tracking as a representation learning problem to increase accuracy and reduce tracking time

Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.
Mirage News

New Method Maps Forest Burn Areas Using Satellites

CA-MTransUNet: Cloud-Aware Mixture-of-Experts Linear Transformer U-Net for forest burned area (FBA) mapping using Sentinel-1 and Sentinel-2 images. Big Earth Data, 1–30. Wildfires are becoming more ...
EurekAlert!

AI model boosts accuracy and reliability in predicting biochar production

Researchers have developed a powerful new artificial intelligence model that can accurately predict biochar yield and composition, helping scientists and industry optimize production while reducing ...
GitHub

Yuxiang-Fan/Histopathology-Transfer-Learning

A comprehensive deep learning pipeline for classifying lung and colon histopathological images. This project demonstrates the application of Transfer Learning (using ResNet architectures) for ...
IEEE

A Hybrid Wavelet-Resnet Diffusion Based Deep Learning Model for Ocular Disease Classification

Deep learning models have become indispensable in medical image analysis, particularly for detecting and classifying ocular diseases. Automated diagnostic systems are promising to improve accuracy and ...
Frontiers

Geological information-driven deep learning for lithology identification from well logs

Lithology identification is crucial for characterizing complex unconventional reservoirs, where thin interlayers significantly influence hydrocarbon accumulation. Although deep learning-based methods ...
Frontiers

Development and validation of a deep learning model using MR imaging for predicting brain metastases: an accuracy-focused study

Brain metastases (BM), originating from extracranial malignancies, significantly threaten patient health. Accurate BM identification is crucial but labor-intensive manually. This study developed and ...
BizTech

What Is Cisco’s Deep Network Model, and What Does It Mean for Business Workflows?

Doug Bonderud is an award-winning writer capable of bridging the gap between complex and conversational across technology, innovation and the human condition. As artificial intelligence becomes ...
C&EN

Deep Learning-Based Shape Classification for Hyperspectral-Imaged Microplastics

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...