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A team of researchers created Morpho, an open-source programmable environment that enables researchers and engineers to conduct shape optimization and design for soft materials. Applications can be for anything from artificial hearts to robot materials that mimic flesh and soft tissue.
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The School of Civil and Environmental Engineering (CEE) is a leading school for Sustainable Built Environment. The key objective is to support efforts to excellence in providing advanced education, spearheading groundbreaking research, and delivering unparalleled professional services.
We are looking for a Research Fellow to enhance the blast resistance of precast structures and analyze progressive collapse in flat slab systems. The role will focus on creating safer and resilient environments, addressing critical challenges, such as structural safety and resilience, and contributing meaningfully to our overarching commitment to protect communities and foster innovation in construction safety.
Key Responsibilities:
Conduct research and perform in-depth analyses to improve blast resistance in precast structures and assess the risk of progressive collapse in flat slab systems.
Develop and implement innovative methods and solutions to enhance building safety and structural resilience.
Collaborate with interdisciplinary
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The computing world is celebrating a major milestone as Andrew Barto, professor emeritus at the University of Massachusetts Amherst, and Richard Sutton, professor of computer science at the University of Alberta, Canada, have been awarded the 2024 Association for Computing Machinery A.M. Turing Award — often called the “Nobel Prize of computing” — for “developing the conceptual and algorithmic foundations of reinforcement learning.”
The legacy in reinforcement learning
Barto and Sutton are widely recognized as pioneers of the modern computational reinforcement learning (RL), a field that addresses the challenge of learning how to act based on evaluative feedback. Their work has laid the conceptual and algorithmic foundations of RL, shaping the future of artificial intelligence and decision-making systems.
The influence of RL extends across multiple disciplines, including computer science (machine learning), engineering (optimal control), mathematics (operations research), neuroscience (optimal decision-making), psychology (classical and operant conditioning) and economics (rational choice theory). Researchers in these fields continue to be profoundly shaped by the contributions of Sutton and Barto.
From NSF Grants to AI Breakthroughs
Barto’s contributions were made possible through a series of U.S. National Science Foundation-funded projects that sustained AI research long before its recent boom. His research was supported through grants from NSF programs including the National Robotics Initiative, Robust Intelligence, Collaborative Research in Computation Neuroscience, Human-Centered Computing, Biological Information Technology and Systems, Artificial Intelligence and Cognitive
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Walking into your favorite restaurant and seeing a robot chef in the kitchen may seem far-fetched, but new research suggests that bots could be a solution to persistent labor shortages in the industry.
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