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 ...
ascopubs.org

Deep-learning model for real-time prediction of recurrence in early-stage non-small cell lung cancer: A multi-modal approach.

Implications of EGFR expression in MAPK dependency and adaptive immunity status of EGFR-mutated lung adenocarcinoma. Baseline RADAR score and optimal threshold of predicting relapse within one year ...

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 ...
VentureBeat

Move over, deep learning: Symbolica's structured approach could transform AI

Artificial intelligence startup Symbolica emerged from stealth today and unveiled a novel approach to constructing AI models, leveraging advanced mathematics to imbue systems with human-like reasoning ...
eWeek

Deep Learning vs Generative AI: Understanding the Key Differences

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
Mysportscience

Artificial intelligence (AI) in sport

Artificial intelligence (AI) has rapidly become one of the most frequently referenced concepts in high-performance sport. It ...

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.
EurekAlert!

NUS CDE researchers develop new AI approach that keeps long-term climate simulations stable and accurate

Deep learning is increasingly being used to emulate cloud and convection processes in climate models, offering a faster alternative to computationally intensive cloud-resolving simulations. However, ...
Ars Technica

How a stubborn computer scientist accidentally launched the deep learning boom

During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...