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

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...
American Institute of Physics

Using deep learning to better forecast tropical cyclone tracks and intensities

Integrating deep learning with traditional forecasting techniques can improve early warning systems by capitalizing on each ...
Hosted on MSN

How neural networks represent data: A potential unifying theory for key deep learning phenomena

How do neural networks work? It's a question that can confuse novices and experts alike. A team from MIT's Computer Science and Artificial Intelligence Lab (CSAIL) says that understanding these ...

Deep learning detects foodborne bacteria within three hours by eliminating debris misclassifications

Researchers have significantly enhanced an artificial intelligence tool used to rapidly detect bacterial contamination in food by eliminating misclassifications of food debris that looks like bacteria ...
insideHPC

Data Science 101: Deep Learning – Theory and Applications

Deep Learning is a hot topic in statistical learning and many data scientists are seeking a place to start. Here is a presentation from the July 23rd SF Machine Learning Meetup at the Workday Inc. San ...
insideHPC

Deep Learning – Theory and Applications

The video presentation below, “Deep Learning – Theory and Applications” is from the July 23rd SF Machine Learning Meetup at the Workday Inc. San Francisco office. The featured speaker is Ilya ...
EurekAlert!

Deep learning model accurately diagnoses COPD

Visualization of attention maps from the residual attention networks for the inspiratory convolutional neural network (I-CNN) and expiratory convolutional neural network (E-CNN) models. Attention maps ...

Fundamental emerges from stealth with first major foundation model trained for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.
pv magazine International

Hybrid deep learning model for PV forecasting in scenarios with considerable fluctuations

Researchers in China conceived a new PV forecasting approach that integrates causal convolution, recurrent structures, attention mechanisms, and the Kolmogorov–Arnold Network (KAN). Experimental ...
ascopubs.org

A multimodal deep learning model for early prediction of pancreatic cancer progression.

Impact of treatment patterns on clinical outcomes in patients of advanced pancreatic cancer treated with chemotherapy: A large-scale data analysis from real world practice. This is an ASCO Meeting ...