Archive for the ‘robotics/AI’ category: Page 1873
Feb 14, 2019
Amazing New AI Churns Out “Coherent Paragraphs of Text”
Posted by Quinn Sena in category: robotics/AI
Feb 14, 2019
A Company Claims Its AI Has Prevented 16 School Shootings
Posted by Quinn Sena in categories: education, robotics/AI
Feb 14, 2019
NASA to Advance Unique 3D Printed Sensor Technology
Posted by Klaus Baldauf in categories: 3D printing, robotics/AI, space travel
A NASA technologist is taking miniaturization to the extreme.
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Feb 14, 2019
Face recognition technology in classrooms is here – and that’s ok
Posted by Genevieve Klien in categories: education, robotics/AI
New technologies like facial recognition are coming – whether we like it or not. We can’t turn back the tide, but we can manage new technology to do the least harm and most good.
Feb 13, 2019
What the new artificial intelligence initiative does—and doesn’t—mean
Posted by Genevieve Klien in category: robotics/AI
A new executive order raises a host of questions, from how AI works to whether it will fulfill our science fiction dreams or our nightmares.
Feb 13, 2019
Europe’s next €1-billion science projects: six teams make it to final round
Posted by Derick Lee in categories: biotech/medical, robotics/AI, science, solar power, sustainability
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.
Feb 12, 2019
‘Air traffic control’ for driverless cars could speed up deployment
Posted by Quinn Sena in categories: robotics/AI, transportation
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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Feb 12, 2019
New Evidence for the Strange Geometry of Thought
Posted by Genevieve Klien in categories: robotics/AI, space
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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