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Argonne: Where AI research meets education and training
Last September, in the Chicago suburb of Lemont, Ill., Argonne National Laboratory hosted its first AI STEM Education Summit. More than 180 educators from high schools, community colleges, and universities; STEM administrators; and experts in various disciplines convened at “One Ecosystem, Many Pathways–Building an AI-Ready STEM Workforce” to discuss how artificial intelligence is reshaping STEM-related industries, including the implications for the nuclear engineering classroom and workforce.
C. Sastre
Nuclear Technology | Volume 23 | Number 2 | August 1974 | Pages 142-145
Technical Paper | Nuclear Safeguards (Presented at November 1973 Meeting) / Safeguard | doi.org/10.13182/NT74-A31447
Articles are hosted by Taylor and Francis Online.
Security sealing systems for nuclear materials safeguards are based on tamper indicating and fingerprinted seals. The trend in fingerprinting development is based on random manufacturing process. A present design for fingerprinted seals uses an internally referenced optical alignment technique to provide unaided observation of a digital fingerprint.
