Jefferson Lab Launches Virtual AI Winter School for Physicists

Artificial intelligence is a game-changer in nuclear physics, able to enhance and accelerate fundamental research and analysis by orders of magnitude. DOE’s Jefferson Lab is exploring the expanding synergy between nuclear physics and computer science as it co-hosts together with The Catholic University of America and the University of Maryland a virtual weeklong series of lectures and hands-on exercises Jan. 11-15 for graduate students, postdoctoral researchers and even “absolute beginners.”

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Robot Displays a Glimmer of Empathy to a Partner Robot

Like a longtime couple who can predict each other’s every move, a Columbia Engineering robot has learned to predict its partner robot’s future actions and goals based on just a few initial video frames. The study, conducted at Columbia Engineering’s Creative Machines Lab led by Mechanical Engineering Professor Hod Lipson, is part of a broader effort to endow robots with the ability to understand and anticipate the goals of other robots, purely from visual observations.

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10 ways Argonne science is combatting COVID-19

Argonne scientists and research facilities have made a difference in the fight against COVID-19 in the year since the first gene sequence for the virus was published.

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Initiative to employ AI in behavioral health monitoring

Behavioral health issues like depression and bipolar disorder don’t often manifest with the kinds of clear, outward symptoms that presage the common cold. But technologies such as smartphones and smartwatches could be used to detect subtle changes in behavior and help willing individuals – in coordination with their doctors – better monitor and manage their conditions.

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UCI researchers use deep learning to identify gene regulation at single-cell level

Irvine, Calif., Jan. 5, 2021 — Scientists at the University of California, Irvine have developed a new deep-learning framework that predicts gene regulation at the single-cell level. Deep learning, a family of machine-learning methods based on artificial neural networks, has revolutionized applications such as image interpretation, natural language processing and autonomous driving.

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Machine Learning Improves Particle Accelerator Diagnostics

Operators of Jefferson Lab’s primary particle accelerator are getting a new tool to help them quickly address issues that can prevent it from running smoothly. The machine learning system has passed its first two-week test, correctly identifying glitchy accelerator components and the type of glitches they’re experiencing in near-real-time. An analysis of the results of the first field test of the custom-built machine learning system was recently published in the journal Physical Review Accelerators and Beams.

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Case Western Reserve University teams with Boehringer Ingelheim on artificial intelligence solutions for precision medicine

The Center for Computational Imaging and Personalized Diagnostics (CCIPD) at Case Western Reserve University and Boehringer Ingelheim, one of the world’s largest pharmaceutical companies will leverage the power of CCIPD’s image computing AI solutions to identify patterns and links between cellular response and underlying molecular drivers, with the goal of advancing therapeutics for diseases with no satisfactory treatment option.

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Study IDs Four Things That Make People Feel Good About Using Chatbots

A recent study has identified four factors that predict user satisfaction with customer service chatbots. The study also found that a positive chatbot experience was associated with customer loyalty, highlighting the importance of the findings to corporate brands.

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