Predicting extreme rainfall through novel spatial modeling

Japan is an archipelago with diverse climate zones and complex topography that is prone to heavy rain and flooding. Add the ...
Frontiers

AI & Mechanistic Neuroscience: Hybrid Models Beyond Prediction

The intersection of artificial intelligence and mechanistic neuroscience is rapidly transforming our understanding of neural systems. While AI ...
Frontiers

Hybrid Mechanistic–AI Modeling with Physics-Trained Neural Networks for Patient Digital Twins

Patient digital twins aim to create computational replicas of an individual’s physiology that can predict disease trajectories and treatment response.

Improved short-term sea level change predictions achieved with better AI training

Sea level can temporarily change for a variety of reasons—atmospheric pressure shifts and water accumulation from wind and ...
Tech Xplore

Adaptive drafter model uses downtime to double LLM training speed

Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller ...
IEEE

Applying Causal Machine Learning to Spatiotemporal Data Analysis: An Investigation of Opportunities and Challenges

Abstract: Traditional spatiotemporal data analysis often relies on predictive models that overlook causal relationships, making it difficult to identify true drivers and formulate effective ...
The New York Times

Thousands of Amateur Gamblers Are Beating Wall Street Ph.D.s

Economists have noticed that betting markets like Kalshi and Polymarket are pretty good at predicting not just political events but economic data, too. Credit...Andrea Chronopoulos Supported by By ...
Barron's

Cleveland-Cliffs Inc.

Cleveland-Cliffs, Inc. is a flat-rolled steel company, which engages in provision of iron ore pellets to the North American steel industry. It focuses on the production of metallic and coke, iron ...
IEEE

ML-Assisted Compact Modeling of Feedback Field-Effect Transistors Using a Gated Recurrent Unit for Circuit Simulation

Abstract: In this paper, we propose a compact model for feedback field-effect transistors (FBFETs), based on a gated recurrent unit (GRU) neural network, enabling fast and accurate circuit-level ...
Hosted on MSN

Modeling sliding bead on tilting wire using Python | Lagrangian explained

Explore advanced physics with **“Modeling Sliding Bead On Tilting Wire Using Python | Lagrangian Explained.”** In this tutorial, we demonstrate how to simulate the motion of a bead sliding on a ...