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A Rochester Institute of Technology researcher is part of a team that has been awarded a National Science Foundation grant to use artificial intelligence to better understand the role of facial expressions in signed and spoken languages.
As part of the project, researchers will develop an application to teach American Sign Language learners about associated facial expressions and head gestures. They will also develop an application that makes the facial expressions of a signer anonymous, when privacy is a concern.
The nearly $1 million grant is part of the NSF Convergence Accelerator, a program that supports use-inspired, team-based, and multidisciplinary research to produce solutions to national-scale societal challenges.
The project, called Data and AI Methods for Modeling Facial Expressions in Language with Applications to Privacy for the Deaf, American Sign Language (ASL) Education and Linguistic Research, is co-led by a multidisciplinary team of researchers at three universities. The team includes
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(MENAFN – IANS)
Bengaluru, Sep 14 (IANS) Karnataka Deputy Chief Minister C.N. Ashwatha Narayana, who is also the Minister for IT, BT and Science & Technology, said on Monday that the convergence of cyberspace and physical space will be the upcoming technology which is going to have a huge impact on all the sectors, including the economy.
Speaking at the inauguration of the four-day “India Innovative Summit-2020”, organised by the Confederation of Indian Industries (CII) through an online platform, Narayana said that this convergence technology makes use of emerging AI (artificial intelligence) to accurately analyse the larger amount of data that would be collected by the sensors deployed in the physical space.
He further claimed that the convergence would lead to a drastic impact on medical, agriculture and other sectors and would impact the education sector as well in a bigger way, particularly in the backdrop of the new education
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Yuma Proving Grounds, Arizona–The Army’s Project Convergence 2020 sought to bring new, explosive “warfare at speed” dimensions to future combat as part of a broad transformational attempt to surge in front of competitors and near-peer rivals with accelerated networking and sensor-to-shooter times . . . Designed to enable an entirely new generation of warfare possibilities.
The network consists of many interwoven technical elements to include software-defined radio, high-bandwidth, radio-generated data links, satellite connectivity and course synchronized databases with high-powered computer processing.
These constituent elements need the proper interface to ensure both sustained connectivity and continued modernization possibilities. With the proper standards and technical infrastructure. Without these, disparate communications avenues can interoperate.
At one point during the exercise, satellite connections tied to Joint Base Lewis McChord in Washington state were accessed to locate enemy targets at Yuma Proving Grounds, Arizona.
“We are looking at how we can use satellites
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Two grants have been awarded to MIT researchers on the themes of socio-resilient infrastructure, and on the future of oceans. The grants are part of the U.S. National Science Foundation Convergence Accelerator program, designed to foster global cross-disciplinary and cross-sector workshops on emerging areas of critical societal importance. The NSF Convergence Accelerator program further aims to accelerate use-inspired, convergence research via partnerships between academic and non-academic stakeholders.
The Socioresilient Infrastructure: Precision Materials, Assemblages, and Systems project is co-led by Christine Ortiz, the Morris Cohen Professor of Materials Science and Engineering, and Ellan Spero, a historian of science and technology and instructor in the Department of Materials Science and Engineering. This project will engage leading researchers from around the world to advance an intellectual framework for socio-resilient infrastructure, where social resilience is considered to be the ability of human communities to cope with and adapt to stresses and shocks
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YUMA PROVING GROUND, Ariz. – As technology advances at an ever faster pace, the U.S. Army’s network capabilities must evolve faster to enable the future of modernized warfare. The Army is driving the procurement and operation of networked lethality technologies to achieve overmatch. At Project Convergence 20, in Yuma Proving Ground, Az., from Aug. 11 – Sept. 18, 2020, the Army Network Cross Functional Team (N-CFT) deployed a mesh network to further evaluate the ability to augment human sensing and decision making, optimizing the pace of battle.The network underpins everything at Project Convergence 20 (PC20), a campaign of learning designed to advance and integrate the Army’s contribution to Combined Joint All-Domain Command and Control. It does this by establishing the Army’s ability to use artificial intelligence and networked lethality technologies that augment human sensing and decision making in order to improve the warfighter’s lethality and pace of battle. In the