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Recovering "lost dimensions" of images and video
MIT researchers have developed a model that recovers valuable data lost from images and video that have been "collapsed" into lower dimensions. The model could be used to recreate video from motion-blurred images, or from new types of cameras that capture a person's movement around corners but only as vague one-dimensional lines. While more testing is needed, the researchers think this approach could someday could be used to convert 2D medical images into more informative -- but more expensive -- 3D body scans, which could benefit medical imaging in poorer nations. "In all these cases, the visual data has one dimension -- in time or space -- that's completely lost," says Guha Balakrishnan, a postdoc in Computer Science and Artificial Intelligence Laboratory (CSAIL) and first author on a paper describing the model, which is being presented at next week's International Conference on Computer Vision. "If we recover that lost dimension, it can have a lot of important applications." Captured visual data often collapses data of multiple dimensions of time and space into one or two dimensions, called "projections."
Assembler robots make large structures from little pieces
Today's commercial aircraft are typically manufactured in sections, often in different locations -- wings at one factory, fuselage sections at another, tail components somewhere else -- and then flown to a central plant in huge cargo planes for final assembly. But what if the final assembly was the only assembly, with the whole plane built out of a large array of tiny identical pieces, all put together by an army of tiny robots? That's the vision that graduate student Benjamin Jenett, working with Professor Neil Gershenfeld in MIT's Center for Bits and Atoms (CBA), has been pursuing as his doctoral thesis work. It's now reached the point that prototype versions of such robots can assemble small structures and even work together as a team to build up a larger assemblies. The new work appears in the October issue of the IEEE Robotics and Automation Letters, in a paper by Jenett, Gershenfeld, fellow graduate student Amira Abdel-Rahman, and CBA alumnus Kenneth Cheung SM '07, PhD '12, who is now at NASA's Ames Research Center, where he leads the ARMADAS project to design a lunar base that could be built with robotic assembly.
Andrew Yang knocks Microsoft's search engine during Dem debate: 'Sorry...it's true'
Fox News Flash top headlines for Oct. 15 are here. Check out what's clicking on Foxnews.com Businessman and 2020 hopeful Andrew Yang had a blunt assessment of the way Microsoft's commercial search engine has performed. During Tuesday's Democratic debate, Yang knocked the company while discussing Sen. Elizabeth Warren's plan to break up big tech firms like Facebook. Warren, D-Mass., has pushed for more competition in the industry but Yang indicated that wasn't always necessary.
Academics adopt AI-powered application and data integration
Today's announcement was made from the EDUCAUSE Annual Conference taking place this week in Chicago, IL. To learn more about SnapLogic for higher education, stop by SnapLogic Booth #1114 on the conference showfloor. Today's progressive universities and colleges are embracing the cloud, unifying their applications and systems, and putting data at the center of their strategies to enrich the experience of their diverse constituents: Student Engagement: The majority of incoming students are digital natives who expect consistent, real-time access to information on housing, parking, class schedule, grades, financial aid, and more, ideally delivered via a one-stop-shop online portal. Data-driven Faculty: Faculty are leveraging digital tools to tailor, personalize, and optimize learning for students, both in the classroom and via online courses. At the individual student level, many professors are leveraging data to identify students who may be struggling and require additional attention.
PwC to set up first AI hub in city - Times of India
Kolkata: Global consultancy giant PwC is setting up a'Centre of Excellence' (CoE) in artificial intelligence (AI) in the city, which will generate around 1,200 jobs. Besides, it would also build an IoT (Internet of Things) lab in the city which, too, would be first of its kind in the country. To man these state-of-the-art facilities, the consultancy major is looking reverse migration of workforce from Hyderabad, Pune and Bengaluru to the city. Arnab Basu, managing partner (east), PwC India, told TOI that it would invest Rs 100 crore for setting up these facilities in the state. The consultancy major had earlier set up another CoE or analytics in the city.
Exploring AI Algorithms to Support Federal T2
The process of patent application examination by USPTO examiners or by patent attorneys and registered patent agents in preparing applications is a significant intellectual activity that at present must be undertaken by individuals based on their knowledge of [among other things] the state of relevant technology and existence of prior art, the evolution of that technology, its scientific basis, its present and future use, and existing published work on the subject. Patent application preparation and examination to include the preparation of rejections by PTO examiners and responses to these rejections from applicants are driven by a "sacred" text called the Manual of Patent Examining Procedures (MPEP). The MPEP, a document of more than 3700 pages, is known to disturb the sleep of even the most brilliant and seasoned patent practitioners. While a detailed discussion of patent examination and prosecution procedures is far beyond the scope of this essay and the professional competence of its author, it is well worth noting some of the frequent activities included in patent prosecution and examination for reasons that will soon become apparent. For example, in determining if an invention is patentable, inventors and patent practitioners must identify links to prior art references.
Subtle Medical Receives FDA 510(k) Clearance for AI-Powered SubtleMR
"One of the most exciting things about deep learning reconstruction is how it redefines the usual negotiation between exam time and image quality. This could lead to significant downstream value for imaging operations and for patient experience," said Christopher Hess, MD, Chair of the Department of Radiology and Biomedical Imaging at UCSF. SubtleMR delivers a significant improvement in the quality of noisy images, which is particularly beneficial for patients who have difficulty holding still for long periods of time. Artifact-ridden images and the need for re-scans are a challenge for both patients and physicians. SubtleMR integrates seamlessly into the radiology workflow, and it is compatible with any brand of MRI scanner and PACS.
10 Customer Experience Implementations Of Artificial Intelligence
The future of customer experience is artificial intelligence. Artificial intelligence is popping up everywhere and changing how customers interact with brands. In fact, by 2025, an estimated 95% of customer interactions will be supported by AI technology. From chatbots to automation, artificial intelligence helps brands learn more about their customers to enhance personalization. The bot is trained to pick up on conversational cues to suggest arrangements--if a customer mentions they need something quickly, the bot can briskly suggest the perfect flowers to win someone over.
Singapore Ranks First in Global Cities' AI Readiness and Smart City Effort - Fintech Singapore
Two recent studies have found Singapore to be the world's most prepared city for the age of artificial intelligence (AI), and the global leader in terms of smart city effort. The first research, conducted by the Oliver Wyman Forum, ranks 105 international cities in terms of their preparedness for the technological and digital disruption that will be spurred by AI. The index ranks cities on four key criteria: the quality of a city's plan (Vision); a city's ability to execute on forward-looking plans (Activation); the extent and quality of talent, education, and infrastructure (Asset Base); and how the interplay of Activation and Asset Base are impacting its overall momentum (Trajectory). With an average score of 75.8 out of 100, Singapore showed the most readiness overall, surpassing London (75.6), One key finding from the study is that although megacities like London, New York and Paris, have well-scaled business communities and talent pools, smaller cities can be just as competitive technology-wise.
5 Things to Know About the US Drone Market - Drone Industry Insights
The United States is home to the largest drone market in the world and has been for the past few years. The US will remain in the lead in the forthcoming years, but the Chinese drone market is slowly closing that gap. While in 2024 the US will still be the largest drone market in the world, the Chinese drone market will be catching up as it will grow faster. Even though the US market won't grow quite as quickly as some others (China, and India), it will still be one of the fastest growing drone markets in the world. By 2024 it is expected to be almost three times the size it was in 2018.