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AI model can manipulate time to make better predictions in a wide range of fields

In the world around us, many things exist in the context of time: a bird's path through the sky is understood as different ...
EurekAlert!

A single-core-neuron framework unlocks efficient deep learning

The deep learning field has been dominated by “large models” requiring massive computational resources and energy, leading to unsustainable environmental and economic challenges. To address this, ...
ascopubs.org

Deep-Learning Model for Real-Time Prediction of Recurrence in Early-Stage Non–Small Cell Lung Cancer: A Multimodal Approach (RADAR CARE Study)

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...
Devdiscourse

AI for Energy Security: Study Compares LSTM and FFNN in Solar Grid Anomaly Detection

Researchers from Noida International University and Dayananda Sagar University explored deep learning models for anomaly detection in solar power systems, comparing LSTM, FFNN, and Isolation Forest ...

Interpretable deep learning network significantly improves tropical cyclone intensity forecast accuracy

Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting ...
Time

Deep Learning

This article is published by AllBusiness.com, a partner of TIME. What is "Deep Learning"? Deep learning is a subset of machine learning, which itself is a branch of artificial intelligence (AI). It ...
Electropages

Prototype of an analogue reservoir AI chip capable of real-time learning

TDK Corporation has jointly developed a prototype of a reservoir AI chip using an analogue electronic circuit that mimics the cerebellum with Hokkaido University. At CEATEC 2025 in Japan, from October ...
Science Daily

Machine learning takes materials modeling into new era

The arrangement of electrons in matter, known as the electronic structure, plays a crucial role in fundamental but also applied research such as drug design and energy storage. However, the lack of a ...