Machine learning detects more than 60,000 earthquakes during 2025 Santorini sequence

The seismic crisis that gripped the Greek island of Santorini and its neighbors in 2025 contained more than 60,000 ...
Communications of the ACM

The Origins of GPU Computing

Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...
Morning Overview on MSN

Brain-inspired AI pruning boosts learning while shrinking model size

A human infant is born with roughly twice as many synapses as it will eventually need. Over the first few years of life, the ...
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) ...
Frontiers

Deep learning on protein language model embeddings unlocks accurate prediction of protein solubility

Protein misfolding is a major limitation in prokaryotic expression systems, which lack post-translational modifications and exhibit distinct intracellular environments. This severely hinders the ...

Nvidia's Nemotron-Cascade 2 wins math and coding gold medals with 3B active parameters — and its post-training recipe is now open-source

Nvidia's Nemotron-Cascade 2 is a 30B MoE model that activates only 3B parameters at inference time, yet achieved gold medal-level performance at the 2025 IMO, IOI, and ICPC World Finals. Nvidia has ...
GitHub

What is Deep Learning?

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...
GEN

Deep Learning Model Developed to Help Predict Functional Impact of Regulatory Mutations

A research team co-led by scientists at the Netherlands Cancer Institute (NKI) and Oncode Institute has developed a deep learning model, PARM (promoter activity regulatory model) that offers up new ...
contemporarypediatrics

Deep learning model accurately predicts childhood myopia risk

A deep learning model using baseline fundus images accurately predicted myopia and high myopia risk in school-aged children More than half of children without myopia at baseline developed the ...
EurekAlert!

Interpretability in deep learning for finance: A case study for the Heston model

CNN architecture summary: The first dimension in all the layers “?” refers to the batch size. It is left as an unknown or unspecified variable within the network architecture so that it can be chosen ...
Microsoft

AI that drives change: Wayve rewrites self-driving playbook with deep learning in Azure

LONDON – On a more than typically busy Thursday morning in Soho, the gray December sky spat rain. Traffic was stop-and-go, but mainly stop. Even the sidewalks were congested. Finally, alongside the ...
IEEE

Enhancing Surface Current Retrieval From Sequential Imagery With Multiscale Deep Learning

Abstract: Accurate retrieval of ocean surface currents from sequential satellite imagery is crucial for advancing our understanding of upper-ocean dynamics and their role in climate variability. In ...