An impressive new language AI writes product reviews and news articles. Its creators are worried about misuse.
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Category: robotics/AI – Page 2005
The six newly shortlisted initiatives include: a project that would explore how AI can enhance human capabilities; one to hasten clinical availability of cell and gene therapies; a personalized-medicine initiative; two projects that aim to make solar energy more efficient; and a humanities project called the Time Machine, which seeks to develop methods for enabling digital search of historical records in European cities.
AI enhancement and a virtual time machine are included in the shortlist of pitches.
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Combining human and artificial intelligence in autonomous vehicles could push driverless cars more quickly toward wide-scale adoption, University of Michigan researchers say.
That’s the goal of a new project that relies on a technique called instantaneous crowdsourcing to provide a cost-effective, real-time remote backup for onboard autonomous systems without the need for a human to be physically in the driver’s seat. The research is taking place at the U-M Transportation Research Institute (UMTRI).
The need for human safety drivers in vehicles like Waymo’s recently introduced autonomous taxis undermines their cost advantage compared to traditional ride sharing services, the researchers say. It also keeps the era of cars as autonomous rolling living rooms tantalizingly out of reach. And most researchers agree that machines won’t be able to completely take over driving duties for years or even decades.
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In a 2018 Science paper, co-authored with Jacob Bellmund, Christian Doeller, and Edvard Moser—neuroscientists from the Max Planck Institute in Leipzig and the Kavli Institute in Trondheim—Gärdenfors, of the University of Lund, buttressed his idea with recent advances in brain science. He argued that the brain represents concepts in the same way that it represents space and your location, by using the same neural circuitry for the brain’s “inner GPS.”
“Cognitive spaces are a way of thinking about how our brain might organize our knowledge of the world,” Bellmund said. It’s an approach that concerns not only geographical data, but also relationships between objects and experience. “We were intrigued by evidence from many different groups that suggested that the principles of spatial coding in the hippocampus seem to be relevant beyond the realms of just spatial navigation,” Bellmund said. The hippocampus’ place and grid cells, in other words, map not only physical space but conceptual space. It appears that our representation of objects and concepts is very tightly linked with our representation of space.
Gärdenfors’ theory highlights a fruitful path, not only for cognitive scientists, but for neurologists and machine-learning researchers.
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