C&EN

Machine learning helps density functional theory model molecules accurately

Trained on quantum data, a new model makes computations more accurate while keeping computer costs low ...
SpaceNews

How time series data is fueling the final frontier

Loft Orbital turned to a purpose-built time series database designed from the ground up for speed, scale and real-time performance. With it, engineers gained the ability to monitor satellite health in ...

From algorithms to intelligence: How AI is reshaping quantitative finance education

Artificial intelligence is revolutionising quantitative finance, enabling smarter trading through advanced models, feature ...
GitHub

Pull requests: vishesh-banna0/machine_learning_for_time_series_forecasting

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.
CBSSports.com

Bills vs. Ravens props, NFL picks, SportsLine Machine Learning Model AI predictions: Jackson over 229.5 yards

The Buffalo Bills and Baltimore Ravens will meet for the third time in less than a calendar year in Week 1 of Sunday Night Football. Baltimore dominated in a Week 4 victory last year but the Bills got ...
GitHub

Fine-grained Hierarchical Crop Type Classification from Integrated Hyperspectral EnMAP Data and Multispectral Sentinel-2 Time Series: A Large-scale Dataset and Dual-stream ...

This repository is the code implementation of the paper Fine-grained Hierarchical Crop Type Classification from Integrated Hyperspectral EnMAP Data and Multispectral Sentinel-2 Time Series: A ...
Frontiers

Deep learning-based time series prediction in multispectral and hyperspectral imaging for cancer detection

1 Clinical Laboratory Center of People's Hospital, Xinjiang, Urumuqi, China 2 Department of Anesthesiology and Perioperative Medicine, Fourth Clinical College of Xinxiang Medical College, Xinxiang ...
Live Science

Scientists use quantum machine learning to create semiconductors for the first time – and it could transform how chips are made

Scientists in Australia have developed a quantum machine learning technique — a blend of artificial intelligence (AI) and quantum computing principles — that could change how microchips are made. They ...
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 ...
IEEE

Hybrid Transformer-KAN Within Federated Learning Framework: A Novel Machine Learning Approach for Improved Short-Term Weather Forecasting

Abstract: Among the various methods used for time series prediction tasks in weather forecasting, Transformer can effectively extract global information and has achieved tremendous success. However, ...
Santa Fe Institute

Chaos in the machine: How foundation models can make accurate predictions in time-series data

Until recently, using machine learning for a specific task meant training the system on vast amounts of relevant data. The same was true for data representing a system that changes over time, says SFI ...