The wetland puzzle that stumped hydrology for decades—how physics and AI joined forces to predict unmeasured regions

For years, the Prairie Pothole Region has bothered me in a very specific way. On a map, it looks like a normal landscape: ...
IEEE

Physics-informed Temporal Graph Convolutional Network Model for Multiphase Flow Process Characteristics in Pump Valves

Abstract: Accurately describing complex flow characteristics of the whole discharge process in check valves is desirable for the structure design of multiphase pumps. A physics-informed temporal graph ...
VoxelMatters

MIT’s PhysiOpt system blends AI with physics to produce structurally sound 3D printed objects

Researchers at MIT have developed a system that integrates genAI with physics simulations, to enable users to generate robust ...

Are climate models detecting monsoon changes a decade too early? 'Super-simulations' say yes

Changes in rainfall within global monsoon regions affect the livelihoods of billions. For years, climate models have ...
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.
Frontiers

Physics-Informed AI for Resilient Low-Carbon Energy Systems

Low-carbon energy systems are becoming increasingly complex due to high penetrations of renewable energy, distributed resources, and cyber-physical ...
IEEE

DA-PhysDiff: A Dual-Aware Physics-Informed Diffusion Model for SAR Image Despeckling

Abstract: Deep learning-based synthetic aperture radar (SAR) despeckling faces two key challenges: physical model mismatch, where simplified noise assumptions fail to capture speckle’s statistics, and ...

Cache | There are two ways to build skills using AI tools—Opt for this method

A recent study from researchers at Anthropic, titled ‘How AI Impacts Skill Formation,’ provides a rigorous look into this dilemma, revealing that the way we interact with these tools creates two ...
Communications of the ACM

The ‘Matrix’ for Machines

Kamal Mann is a Software Architect with over 22 years of experience in Industry 4.0 systems. He currently advises on edge ...

The physics of squeaking sneakers

The squeaking of sneakers on a gym floor is usually attributed to friction, specifically a stick-slip variety that involves cycles of sticking and sliding between two surfaces. But that model is best ...
GitHub

uqlm: Uncertainty Quantification for Language Models

UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...

Tech Pioneer Raghu Kulkarni Releases "The God Simulation": Zero-Parameter Code Compiles the Universe from Scratch and Solves the Dark Energy Mystery

A groundbreaking computational physics framework has demonstrated that the three-dimensional fabric of the universe can be generated from scratch using a simple algorithm with exactly zero free ...