Paul Rothemund Places Molecule-Scale Devices in Precise Orientation
02-22-21
Paul Rothemund, Research Professor of Bioengineering, Computing and Mathematical Sciences, and Computation and Neural Systems, has developed a technique that allows him to precisely place microscopic devices formed from folded DNA molecules in not only a specific location but also in a specific orientation. This method for precisely placing and orienting DNA-based molecular devices may make it possible to use these molecular devices to power new kinds of chips that integrate molecular biosensors with optics and electronics for applications such as DNA sequencing or measuring the concentrations of thousands of proteins at once. [Caltech story]
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CMS
Paul Rothemund
KNI
CNS
AI-Driven COVID-19 Model Outperforms Competitors
11-30-20
While existing models to predict the spread of a disease already exist, few, if any, incorporate artificial intelligence (AI). Yaser Abu-Mostafa, Professor of Electrical Engineering and Computer Science, is using a new model for predicting COVID-19's impact using AI and it dramatically outperforms other models, so much so that it has attracted the interest of public health officials across the country. "AI is a powerful tool, so it only makes sense to apply it to one of the most urgent problems the world faces," says Yaser Abu-Mostafa. [Caltech story]
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CMS
Yaser Abu-Mostafa
CNS
AI for a Better Prediction COVID-19 Model
08-25-20
A team of Caltech students, led by Yaser Abu-Mostafa, Professor of Electrical Engineering and Computer Science, have developed a tool to predict the impact of COVID-19 using artificial intelligence (AI). While many models to predict the spread of a disease already exist, few if any incorporate AI, which makes predications based on observations of what is actually happening as opposed to what the model's designers think should happen. AI has the power to discover patterns hidden in data that the human eye might not recognize. [Caltech story]
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CMS
Yaser Abu-Mostafa
CNS