Medical Device and Diagnostic Industry (MD+DI)

AI-Powered Atrial Fibrillation Detection: How Machine Learning Is Transforming Cardiac Care Through ECG Analysis

At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...

Machine learning helps detect roars from lion collars without recording actual audio

Roaring over long distances is a key behavior of lions. They communicate within prides as well as with other animals using ...
MarketWatch

Biopharma Companies Encounter AI's Weak Spot: Scientific Context, Says Zifo

CAMBRIDGE, Mass. and CAMBRIDGE, England, April 21, 2026 /PRNewswire/ -- As AI accelerates across biopharma and other science-driven industries, organizations are encountering a critical bottleneck: ...
The Scientist

Then and Now: Erica Larschan Harnesses Modern Technologies to Study Gene Regulation

Using CRISPR, multiomics, and machine learning, molecular biologist Larschan unravels the mysteries of the X chromosome.
EurekAlert!

Mixed signals: Machine learning helps detecting roars from lion collars without recording actual audio

Roaring over long distances is a key behaviour of lions. They communicate within prides as well as with other animals using distinct sequences of moans and grunts. Scientists from the GAIA Initiative ...
diginomica

Early AI adopters stumble across the horror of vendor lock-in. Here we go again?

Many market watchers are flagging AI vendor lock-in as a risk. When it comes to technology adoption, vendor lock-in is ...
Unite.AI

Dr. Jaime Bland, Co-Founder and CEO of Aquila Health – Interview Series

Dr. Jaime Bland, Co-Founder and CEO of Aquila Health, is a healthcare technology leader focused on addressing one of the industry’s most persistent challenges: fragmented and inaccessible data. She co ...
Devdiscourse

Blockchain-based AI education model boosts speed, privacy and accuracy

The researchers argue that traditional centralized learning platforms are no longer equipped to handle the scale, speed, and ...
IEEE

Solar Energy Forecasting Using Machine Learning Techniques for Enhanced Grid Stability

Abstract: The increasing integration of solar photovoltaic (PV) systems into modern energy grids presents significant challenges due to the intermittent and weather-dependent nature of solar energy ...
IEEE

Prediction of Land Use and Land Cover Using Google Earth Engine (GEE) and Machine Learning Algorithms: A Review

Abstract: Reliability is a critical requirement for classifiers that generate maps of land use and land cover (LULC), and these classifiers are highly sought after. Particularly, machine learning ...
Santa Clara University

HPC Machine Learning Tutorial

This tutorial is an adaptation of the NumPy Tutorial from Tensorflow.org. To run this tutorial, I assume you already have access to the WAVE HPC with a user account and the ability to open a terminal ...