New AI systems are transforming environmental science, from forecasting rapid renewable energy growth to predicting wildfires and harmful algal blooms. The PROLONG model suggests global wind and solar ...
To generate usable data, NSWCPD engineers built a controlled test environment and introduced faults such as air leaks, inlet ...
Technion researchers part of international study that validates fast, accessible alternative to genomic tests using routine ...
USC researchers are developing a computational model that combines satellite data and physics-based simulations to forecast a ...
The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.
This predictive model built on readily acquired clinical data provides encouraging results for the detection of residual disease. External validation and prospective studies implementing the model in ...
Tech Xplore on MSN
AI model predicts human attention in 360-degree videos using both sound and vision
Virtual reality (VR) experiences and 360-degree videos are transforming viewers from passive observers into active ...
EMMI Predict: TerraBind, a Universal Potency Model Operating at The Scale Necessary For Small Molecule Drug Development Terray’s platform is where Experimentation Meets Machine Intelligence (EMMI) to ...
A research team co-led by scientists at the Netherlands Cancer Institute (NKI) and Oncode Institute has developed a deep learning model, PARM (promoter activity regulatory model) that offers up new ...
Researchers from Koç University and international collaborators have developed an AI model that predicts human attention in 360-degree videos by combining visual and auditory cues. Tested on over 100 ...
A machine learning model can accurately predict an individual’s risk of developing hepatocellular carcinoma (HCC) using routine clinical data, according to a new study. The findings point to a ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results