Communications of the ACMOpinion

The Biggest Advance in AI Since the LLM

That’s right, the biggest advance since the LLM is neurosymbolic. AlphaFold, AlphaEvolve, AlphaProof, and AlphaGeometry are ...

CNN Hires New York Times Chief Data Scientist Chris Wiggins to Head AI Team

CNN hired Chris Wiggins, former chief data scientist at the New York Times, for a newly created role as head of machine ...

Deep learning turns weather satellite thermal imagery into hourly ocean current maps

Scientists have developed a new method to measure ocean surface currents over large areas in greater detail than ever before. Called GOFLOW (Geostationary Ocean Flow), the approach applies deep ...

Delhi Technological University, TimesPro announce the inaugural Advanced Certificate Program in Artificial Intelligence

Six-month, CTEL-led programme blends machine learning, deep learning and generative AI with hands-on projects and a three-day ...
Scientific Research Publishing

Predicting Stock Price Movements Using Deep Learning Techniques ()

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...
EurekAlert!

Artificial intelligence for organelle segmentation in live-cell imaging

Recently, Assoc. Prof. Bo Peng (Northwestern Polytechnical University) and Prof. Lin Li (Xiamen University), et ...

Deep learning reveals how auditory cortex neurons split up natural sound coding

Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate the organization and functioning of networks of neurons in the brain.
IEEE

RAP-CNN: A Deep Learning Framework for Mangrove Aboveground Biomass Estimation Using Multi-Source Remote Sensing Data

Abstract: As a typical blue carbon ecosystem, mangroves play a vital role in the global carbon cycle and coastal ecological security. Accurately estimating their aboveground biomass (AGB) is crucial ...
IEEE

A Physics-informed Spatiotemporal Deep Learning Algorithm for High-resolution Leaf Area Index Retrieval

Abstract: High-resolution leaf area index (LAI) retrieval is crucial for ecological and agricultural applications, yet it remains challenging due to the enhanced spatial heterogeneity and limited ...