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 ...

Deep Learning Robotics (DLRob) Announces Pre-Launch of Zero-Teach and Teach-by-Demonstration Technology for Kitting Applications

Technology demonstrated at ABB's booth in NewTech Automation & Robotics eventCAESAREA, Israel, Feb. 12, 2026 / ...

Guide Labs debuts a new kind of interpretable LLM

The company open-sourced an 8 billion parameter LLM, Steerling-8B, trained with a new architecture designed to make its ...

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 ...
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 Artificial Intelligence Predicts Homologous Recombination Deficiency and Platinum Response From Histologic Slides

Menopausal Hormone Therapy and Ovarian and Endometrial Cancers: Long-Term Follow-Up of the Women's Health Initiative Randomized Trials Cancers with homologous recombination deficiency (HRD) can ...
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 ...
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 ...
Frontiers

Brain-Computer Interfaces (BCIs) for daily activities: Innovations in EEG signal analysis and machine learning approaches

Brain-Computer Interfaces (BCIs) are emerging as transformative tools that enable direct communication between the human brain and external devices. With recent advancements in Electroencephalography ...
EurekAlert!

From leaf images to genomes: deep learning reshapes pest-resistant breeding

Crop pests cause substantial yield losses worldwide and pose persistent challenges to sustainable agriculture.