Generative AI models for generating synthetic medical text, time series, and longitudinal data
Most deep learning models require large datasets for training and validation, but preparing such datasets...
Can New Brain-Inspired AI Solve Unfamiliar Real-Time Problems and Revolutionize Energy-Efficient Computing?
Modern AI systems consume vast energy, limiting their use in real-time decision-making, especially in edge...
Engineering carbonation catalysts for scalable carbon removal within our built environment
Concrete, produced at 40 gigatons annually, can naturally soak up CO2 to form a scalable, durable and verifiable...
Generalizable Computational Pipeline for Engineering Ultrastable Variants of Carbonic Anhydrase
AI-driven protein design is undergoing a transformation, driven by recent breakthroughs such as AlphaFold...
Designing ultrastable carbonic anhydrase with deep generative models and high-throughput assays
To minimize the impact of CO2 emissions on life on earth, we need technologies for carbon capture exceeding...
Generative Design of Programmable Metal-Binding Proteins for Bioremediation
The mining of heavy metals accounts for about 10% of global greenhouse gas emissions. Moreover, exposure...
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