Digital twin predicts Alaska permafrost changes using real-time sensors and AI

Communities around the world have adapted to live on the year-round frozen soil of frigid environments, such as in the Arctic ...
IEEE

A Machine Learning Approach to Predict Crop Yield and Success Rate

Abstract: In India agriculture contributes approximately 23% of GDP and employed workforce percentage is 59%. India is the second-largest producer of agriculture crops. the technological contribution ...
Scientific American

The million-dollar math problem hardly anyone is trying to solve

In October 2024 I attended a workshop at Harvard University where mathematicians talked through the uses of artificial intelligence in their field. Most were less worried about the future of math than ...
GitHub

PySR: High-Performance Symbolic Regression in Python and Julia

PySR is an open-source tool for Symbolic Regression: a machine learning task where the goal is to find an interpretable symbolic expression that optimizes some objective. Over a period of several ...
gh.bmj

Prediction of low birth weight from fetal ultrasound and clinical characteristics: a comparative study between a low- and middle-income and a high-income country

Introduction Adverse perinatal outcomes (APO) pose a significant global challenge, particularly in low- and middle-income countries (LMICs). This study aims to analyse two cohorts of high-risk ...
IEEE

Predicting Fouling Progress in Water Cooled Chillers Using Bidirectional LSTM Neural Networks and Synthetic Data

Abstract: The primary challenge in developing a practical predictive model for equipment cleaning is determining the variables the neural network should calculate, focusing on a cost-benefit analysis.
GitHub

Satellite Derived Bathymetry (SDB) GUI

Mainly, there are two types of methods to create a bathymetric prediction using satellite imagery. Two of which are analytical methods and empirical methods. The former predicts depth using water body ...
VentureBeat

Beyond the lakehouse: Fundamental's NEXUS bypasses manual ETL with a native foundation model for tabular data

The deep learning revolution has a curious blind spot: the spreadsheet. While Large Language Models (LLMs) have mastered the nuances of human prose and image generators have conquered the digital ...
BMJ

Predicting cardiovascular events from routine mammograms using machine learning

10 The George Institute for Global Health, School of Public Health, Imperial College London, London, UK Background Cardiovascular risk is underassessed in women. Many women undergo screening ...
Quanta Magazine

AI Comes Up With Bizarre Physics Experiments. But They Work.

There are precision measurements, and then there’s the Laser Interferometer Gravitational-Wave Observatory. In each of LIGO’s twin gravitational wave detectors (one in Hanford, Washington, and the ...
Quanta Magazine

The Physicist Working to Build Science-Literate AI

Physics dazzled Miles Cranmer from an early age. His grandfather, a physics professor at the University of Toronto, gave him books on the subject, and his parents took him to open houses at ...