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Uncovering the secrets of some of the world's first color photographs

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It is often said that before air travel our skies were bluer yet how, in the 21st century, could we ever know what light and colors were like one hundred years ago? Recently, a group of researchers from EPFL s Audiovisual Communications Laboratory, in the School of Computer and Communication Sciences (IC), had a unique opportunity to try to find out.
Normally hidden treasures locked away in the vaults of a handful of museums, the researchers were offered access to some of the original photographic plates and images of the scientist and inventor Gabriel Lippmann, who won the 1908 Nobel Prize in physics for his method of reproducing colors in photography. ....

Gilles Baechler , Gabriel Lippmann , Proceedings Of The National Academy Sciences , School Of Computer , Audiovisual Communications Laboratory , Communication Sciences , Communications Laboratory , National Academy , Technology Engineering Computer Science , Multimedia Networking Interface Design , கேப்ரியல் லிப்மேன் , பள்ளி ஆஃப் கணினி , தொடர்பு அறிவியல் , தேசிய கலைக்கழகம் , தொழில்நுட்பம் பொறியியல் கணினி அறிவியல் ,

Machine learning at speed

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IMAGE: Technology developed through a KAUST-led collaboration with Intel, Microsoft and the University of Washington can dramatically increase the speed of machine learning on parallelized computing systems.
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Credit: © 2021 KAUST; Anastasia Serin.
Inserting lightweight optimization code in high-speed network devices has enabled a KAUST-led collaboration to increase the speed of machine learning on parallelized computing systems five-fold.
This in-network aggregation technology, developed with researchers and systems architects at Intel, Microsoft and the University of Washington, can provide dramatic speed improvements using readily available programmable network hardware.
The fundamental benefit of artificial intelligence (AI) that gives it so much power to understand and interact with the world is the machine-learning step, in which the model is trained using large sets of labeled training data. The more data the AI is tra ....

Amedeo Sapio , Barefoot Networks , University Of Washington , Barefoot Network , Marco Canini , Algorithms Models , Calculations Problem Solving , Technology Engineering Computer Science , Computer Science , Multimedia Networking Interface Design , Software Engineering , வெறுங்காலுடன் நெட்வொர்க்குகள் , பல்கலைக்கழகம் ஆஃப் வாஷிங்டன் , வெறுங்காலுடன் வலைப்பின்னல் , கணக்கீடுகள் ப்ராப்லம் தீர்க்கும் , தொழில்நுட்பம் பொறியியல் கணினி அறிவியல் , கணினி அறிவியல் , மல்டிமீடியா நெட்வொர்க்கிங் இடைமுகம் வடிவமைப்பு , மென்பொருள் பொறியியல் ,

New method uses device cameras to measure pulse, breathing rate and could help telehealth

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Telehealth has become a critical way for doctors to still provide health care while minimizing in-person contact during COVID-19. But with phone or Zoom appointments, it s harder for doctors to get important vital signs from a patient, such as their pulse or respiration rate, in real time.
A University of Washington-led team has developed a method that uses the camera on a person s smartphone or computer to take their pulse and respiration signal from a real-time video of their face. The researchers presented this state-of-the-art system in December at the Neural Information Processing Systems conference.
Now the team is proposing a better system to measure these physiological signals. This system is less likely to be tripped up by different cameras, lighting conditions or facial features, such as skin color. The researchers will present these findings April 8 at the ACM Conference on Health, Interference, and Learning. ....

Xuhai Xu , Shwetak Patel , Xin Liu , Josh Fromm , Ziheng Jiang , Daniel Mcduff At Microsoft Research , University Of Washington , Information School , Conference On Health , Melinda Gates Foundation , Allen School , Neural Information Processing Systems , Computer Science , Daniel Mcduff , Microsoft Research , Health Care Systems Services , Technology Engineering Computer Science , Multimedia Networking Interface Design , Software Engineering , Robotry Artificial Intelligence , க்ஷின் லியூ , ஜோஷ் ஃப்ராம் , டேனியல் மக்டஃப் இல் மைக்ரோசாஃப்ட் ஆராய்ச்சி , பல்கலைக்கழகம் ஆஃப் வாஷிங்டன் , தகவல் பள்ளி , மாநாடு ஆன் ஆரோக்கியம் ,

How artificial intelligence can help curb traffic accidents in cities

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Despite pandemic-driven restrictions on movement, there were over 12,000 accidents in Madrid in 2020, leading to 31 fatalities. In Barcelona, there were more than 5,700 collisions, causing 14 deaths. Pedestrian and vehicle safety is a priority, which is why a research project at the Universitat Oberta de Catalunya (UOC) is harnessing artificial intelligence (AI) to make decisions that will make cities safer. The researchers have looked into the correlation between the complexity of certain urban areas and the likelihood of an accident occurring there.
According to the researchers, the data they have gathered can be used to train neural networks to detect probable hazards in an area and work out patterns associated with this high risk potential. The researchers, headed by Cristina Bustos and Javier Borge, are working with algorithms that will aid traffic authorities in reducing the likelihood of accidents in urban environments. ....

Comunidad Autonoma De Cataluna , Universitat Rovirai Virgili , Javier Borge , Cristina Bustos , Sustainable Development Goal , Department Of Computer Engineering , Agenda For Sustainable Development , Internet Interdisciplinary Institute , Massachusetts Institute Of Technology , Transportation Research Part , Spain National Traffic Authority , Health Center , Artificial Intelligence Lab , Universitat Oberta De Catalunya , Scene Understanding , Computer Science , National Traffic Authority , Massachusetts Institute , Computer Engineering , Universitat Rovira , Emerging Technologies , United Nation , Sustainable Development , Technology Engineering Computer Science , Multimedia Networking Interface Design , காமுனிடட தன்னாட்சி டி கடலுள் ,

Using artificial intelligence to generate 3D holograms in real-time

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IMAGE: This figure shows the experimental demonstration of 2D and 3D holographic projection. The left photograph is focused on the mouse toy (in yellow box) closer to the camera, and the.
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Credit: Courtesy of Liang Shi, Wojciech Matusik, et al
Despite years of hype, virtual reality headsets have yet to topple TV or computer screens as the go-to devices for video viewing. One reason: VR can make users feel sick. Nausea and eye strain can result because VR creates an illusion of 3D viewing although the user is in fact staring at a fixed-distance 2D display. The solution for better 3D visualization could lie in a 60-year-old technology remade for the digital world: holograms. ....

Changil Kim , Liang Shi , Beichen Li , Wojciech Matusik , Daniel Ackerman , Petr Kellnhofer , Artificial Intelligence Laboratory , Stanford University , Department Of Electrical Engineering , News Office , Electrical Engineering , Computer Science , Technology Engineering Computer Science , Multimedia Networking Interface Design , Software Engineering , System Security Hackers , Research Development , Robotry Artificial Intelligence , சாங்கில் கிம் , லியாங் ஷி , டேனியல் அக்கர்மன் , செயற்கை உளவுத்துறை ஆய்வகம் , ஸ்டான்போர்ட் பல்கலைக்கழகம் , துறை ஆஃப் மின் பொறியியல் , செய்தி அலுவலகம் , மின் பொறியியல் ,