Researchers have successfully used machine learning to complete cumbersome materials science calculations more than 40,000 times faster than normal.
Researchers have found two new mammogram-based measures for breast cancer risk, which could improve the screening process and make it less stressful for women.
Using machine learning, researchers have identified distinct patterns of coordinated activity between different parts of the brain in people with major depressive disorder.
Researchers used field data to 'train' a machine-learning model to detect gamba grass from high-resolution, multispectral satellite imagery.
Image recognition AI has the potential to revolutionise medical diagnostics, yet its current value proposition remains below the expectations of most radiologists.
The Pawsey Supercomputing Centre has selected HPE to deliver its new supercomputer, featuring significantly increased compute power.
The Cereplex W from Blackrock Microsystems is a small, lightweight, wireless, 96-channel digital headstage for neural recording in freely behaving large animal models.
Now running on Microsoft Windows 10, Thermo Scientific Chromeleon 7 Process Analyzer (Chromeleon 7 PA) software is designed to optimise industrial process monitoring.
The human eye is not good at measuring something quantitatively. Despite this, many cell culture processes today still rely on visual observation.
South Korean researchers have developed a deep learning-based artificial intelligence (AI) algorithm that can accurately classify cutaneous skin disorders.
A new algorithm for brain imaging data analysis enables the precise and quantitative mapping of complex neural circuits onto a standardised 3D reference atlas.
Opyl has developed software that uses artificial intelligence to predict the probability of a vaccine, drug, diagnostic or medical device succeeding in clinical trials.
Engineers have developed technology that should help industry identify and export high-quality graphene cheaper, faster and more accurately than current methods.