An AI model can predict and help contain disease outbreaks in confined spaces

Researchers have developed a new artificial intelligence-based modeling tool that can accurately predict how infectious ...

Finnish birdwatchers' app data fuel world's most accurate model for predicting bird occurrence

New cutting-edge research, led by Academy Professor Otso Ovaskainen of the University of Jyväskylä and David Dunson at Duke ...
Tech Xplore

Foundation AI models trained on physics, not words, are driving scientific discovery

While popular AI models such as ChatGPT are trained on language or photographs, new models created by researchers from the ...
9to5Google

Gemini 3 Flash’s new ‘Agentic Vision’ improves image responses

Agentic Vision is a new capability for Gemini 3 Flash to make image-related tasks more accurate by “grounding answers in visual evidence.” ...
eWeek

Apple’s Google-Powered Siri Overhaul Set for February Debut

Apple is preparing to launch a smarter Siri powered by Google’s Gemini, with major AI upgrades coming in iOS 26.4 and a full ...
eWeek

World Models Just Got Their GPT-2 Moment — Here’s What That Means For You

New Odyssey and World Labs APIs turn text, images, and video into interactive simulations and explorable 3D worlds for gaming ...
IEEE

A Multimodal Deep Learning End-to-End Model for Improving Barley Genotype-to-Phenotype Prediction Using Heterogeneous Data

Abstract: Artificial Intelligence (AI) has emerged as a transformative tool in precision agriculture, facilitating datadriven decision-making and crop improvement. In the context of agricultural crops ...
How-To Geek on MSN

Stop crashing your Python scripts: How to handle massive datasets on any laptop

How chunked arrays turned a frozen machine into a finished climate model ...
Under30CEO on MSN

Analytics that move the needle: Sohan Sethi shapes cost, efficiency, and scale

The healthcare industry is at a crossroads. Advanced analytical technology and operational efficacy converge with strategic ...

Chongwei Shi Advances Biostatistical Methods and Computational Biology Through Deep Learning and Statistical Shape Analysis

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
GitHub

A Python tool for processing GDAS (Global Data Assimilation System) data for use with the CMAQ (Community Multiscale Air Quality) modeling system.

This is recommended in order to get grib2io's C dependencies installed. start_date Start date for processing (YYYY-MM-DD) Required end_date End date for processing (YYYY-MM-DD) Required ...