B-GAP: A simulation method for training autonomous vehicles to navigate complex urban scenes
In recent years, many companies, research organizations and academic institutions worldwide have been trying to develop safe and reliable autonomous vehicles. To be deployed on a large-scale, however, these vehicles should ...
Mar 25, 2022 feature
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Artificial intelligence to bring museum specimens to the masses
Scientists are using cutting-edge artificial intelligence to help extract complex information from large collections of museum specimens.
Mar 25, 2022
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A diffractive neural network that can be flexibly programmed
In recent decades, machine learning and deep learning algorithms have become increasingly advanced, so much so that they are now being introduced in a variety of real-world settings. In recent years, some computer scientists ...
Mar 24, 2022 feature
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Repurposed drug-seeking AI system generates 40,000 possible chemical weapons in just six hours
A team of researchers from Collaborations Pharmaceuticals, In., King's College London and Collaborations Pharmaceuticals, Inc. found that a repurposed drug-seeking AI system could generate 40,000 possible chemical weapons ...
Mar 24, 2022 report
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Immune to hacks: Inoculating deep neural networks to thwart attacks
If a sticker on a banana can make it show up as a toaster, how might strategic vandalism warp how an autonomous vehicle perceives a stop sign? Now, an immune-inspired defense system for neural networks can ward off such attacks, ...
Mar 24, 2022
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Targeted demand response reduces price volatility of electric grid
Demand response, a measure taken to reduce the energy load in response to supply constraints within the Texas electric grid, has been a topic of recent conversation after the wake of Winter Storm Uri just one year ago. Demand ...
Mar 23, 2022
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Robotic exoskeleton uses machine learning to help users with mobility impairments
Researchers from the RIKEN Guardian Robot Project and collaborators have used a combination of lightweight material engineering and artificial intelligence to create an exoskeleton robot that could help people with mobility ...
Mar 22, 2022
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'Off label' use of imaging databases could lead to bias in AI algorithms, study finds
Significant advances in artificial intelligence (AI) over the past decade have relied upon extensive training of algorithms using massive, open-source databases. But when such datasets are used "off label" and applied in ...
Mar 22, 2022
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Q&A;: How to make AI systems learn better
Artificial intelligence systems are smart. They can recognize patterns better than humans, for example. Yet humans are still very much needed. How can you better steer those AI systems? LIACS lecturer Jan van Rijn wrote a ...
Mar 22, 2022
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How AI helped deliver cash aid to many of the poorest people in Togo
Governments and humanitarian groups can use machine learning algorithms and mobile phone data to get aid to those who need it most during a humanitarian crisis, we found in new research.
Mar 21, 2022
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