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U.S. citizens are strongly encouraged to apply

The Adaptive Real-Time Systems Laboratory (ARTS-Lab) at the University of South Carolina invites applications for a fully funded Ph.D. research assistant position devoted to advancing artificial-intelligence and machine-learning methods on small, power-constrained hardware—edge AI—for real-time, in-situ manufacturing. Our group develops novel sensors for metal and polymer additive-manufacturing (AM) processes and couples them with embedded AI to detect, diagnose, and ultimately prevent defects as parts are being built. The successful candidate will help design secure sensing pipelines, craft physics-aware ML models that ingest vibration, acoustic, thermal, LiDAR, and event-camera streams, and deploy those models on microcontrollers, FPGAs (including side-channel-resistant and cyber-hardened implementations), and emerging neuromorphic chips. Cybersecurity is a first-class concern: you will explore lightweight encryption, anomaly detection, and trusted-execution primitives so that edge devices remain resilient against tampering and data exfiltration even in harsh industrial environments. Although

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The U.S. National Science Foundation today announced a new funding opportunity to support research and technology development that will improve the next generation of wireless communication systems known as NextG.     In collaboration with industry, other government agencies, and international partners, the NSF Verticals-enabling Intelligent NEtwork  Systems (NSF VINES) program will invest up to $100 million to accelerate performance and capabilities of next-generation (NextG) advanced intelligent network systems  spanning the user-edge-core-cloud continuum. 

“NSF VINES will enhance U.S. competitiveness in advanced telecommunications technologies, including NextG wireless telecommunications and emerging potential NextG vertical industries, and prepare the American workforce for jobs available now and in the future,” said Brian Stone, performing the duties of the NSF Director.

“This important investment from NSF, in collaboration with industry and other government agencies, will help strengthen U.S. leadership and ensure the American people reap the benefits in areas such as self-driving cars, advanced manufacturing, energy infrastructure, and beyond,” said Dr. Lynne Parker, Principal Deputy Director of The White House Office of Science and Technology Policy. 

NSF VINES is in partnership with several major industry organizations and U.S. federal agencies, including Ericsson, Intel, Qualcomm, the U.S. Department of Homeland Security, U.S. Department of Defense Office of the Under Secretary for Research and Engineering, and U.S. Department of Commerce National Institute of Standards and Technology, as well as international partners from

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Despite advances in machine vision, processing visual data requires substantial computing resources and energy, limiting deployment in edge devices. Now, researchers from Japan have developed a self-powered artificial synapse that distinguishes colors with high resolution across the visible spectrum, approaching human eye capabilities. The device, which integrates dye-sensitized solar cells, generates its electricity and can perform complex logic operations without additional circuitry, paving the way for capable computer vision systems integrated in everyday devices.

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Researchers have discovered that the mixing of small particles between two solid electrolytes can generate an effect called a ‘space charge layer,’ an accumulation of electric charge at the interface between the two materials. The finding could aid the development of batteries with solid electrolytes, called solid-state batteries, for applications including mobile devices and electric vehicles.

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