Better, Faster, Energy Efficient Predictions
Research combines artificial intelligence and computational science for accurate and efficient simulations
models and simulations
Scientists Model ‘True Prevalence’ of COVID-19 throughout Pandemic
Scientists develop a statistical framework that incorporates key COVID-19 data to model the prevalence of this disease
The Impact of Clouds on Climate Change
Cloud formation and other fundamental knowledge can enhance future climate models
Making STEM Accessible to Visually Impaired Students
Baylor researchers, led by Bryan Shaw, found oral tactile visualization of complex 3D structures to be as accurate as eyesight
Our Dreams' Weirdness Might Be Why We Have Them
A new AI-inspired theory of dreaming suggests that the strangeness of our dreams serves to help our brains better generalize our day-to-day experiences
Simulating Sneezes and Coughs to Show How COVID-19 Spreads
Sandia scientists publish studies of how spray droplets can spread disease
El Niño Can Help Predict Cacao Harvests Up to 2 Years in Advance
Researchers found that the El Niño climate cycle can be a reliable substitute for weather data
COVID-19 Peaks Reflect Time-Dependent Social Activity, Not Herd Immunity
New model accounts for individuals' varying biological susceptibility to infection but also their levels of social activity, which naturally change over time
Designing Better Antibody Drugs with Artificial Intelligence
Scientists have now developed a machine learning method that supports the antibody optimization phase, helping to develop more effective antibody drugs
Combining Mask Wearing, Social Distancing Suppresses COVID-19 Virus Spread
Network model findings could shape public health policy for airborne viruses