Articles

  • 2 months ago | source.washu.edu | Chris Woolston |Leah Shaffer

    With the support of a prestigious early-career award from the American Psychological Foundation, Payton Rule, a first-year graduate student in psychological and brain sciences in Arts & Sciences at WashU, is embarking on a project that will explore the psychological well-being of people with disabilities, a population that sometimes feels left out in an able-centric world.

  • 2 months ago | source.washu.edu | Shawn Ballard |Leah Shaffer

    Ensuring the safety of autonomous systems, such as driverless cars, unmanned aerial vehicles and surgical robots, is a critical challenge in the growing field of automation. A new award supports work at the McKelvey School of Engineering at Washington University in St. Louis to develop a framework that will allow these systems to maintain safety even in the face of sensor malfunctions, mechanical failures or deliberate cyberattacks. Andrew Clark, an associate professor in the Preston M.

  • 2 months ago | source.washu.edu | Beth Miller |Leah Shaffer

    Yixin Chen, a professor of computer science and engineering in the McKelvey School of Engineering at Washington University in St. Louis, has been elected a fellow of the Association for the Advancement of Artificial Intelligence (AAAI). Fellows have made significant, sustained contributions over at least a 10-year period to the field of artificial intelligence. Chen is the first person from WashU to be elected as an AAAI fellow, one of the highest honors in the AI community.

  • 2 months ago | source.washu.edu | Shawn Ballard |Leah Shaffer

    The complexity of the human brain — 86 billion neurons strong with more than 100 trillion connections — enables abstract thinking, language acquisition, advanced reasoning and problem-solving, and the capacity for creativity and social interaction. Understanding how differences in brain signaling and dynamics produce unique cognition and behavior in individuals has long been a goal of neuroscience research, yet many phenomena remain unexplained.

  • Jan 22, 2025 | source.washu.edu | Shawn Ballard |Leah Shaffer

    In the world of generative artificial intelligence, generative adversarial networks (GANs) are simultaneously forgers and detectives identifying forgeries. GANs use artificial neural networks to generate new data (the forger) and evaluate that data to determine if it’s real or fake (the detective). The forger and the detective train against each other until the GAN’s created data is indistinguishable from the real thing.

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