Abstract: Reinforcement learning (RL) promises to harness the power of machine learning to solve sequential decision making problems, with the potential to enable applications ranging from robotics to chemistry. However,...
Abstract: Reinforcement learning (RL) promises to harness the power of machine learning to solve sequential decision making problems, with the potential to enable applications ranging from robotics to chemistry. However,...
The Office of Diversity and Inclusive Community Development offers a series celebrating the many communities of CICS called (Our)story. Each month we will have a special speaker from CICS share stories about their...
Abstract: Smart health represents a convergence of various fields, including mobile computing, data science, artificial intelligence, and medicine, to create a new form of healthcare that is more accessible, cost-...
Recent advancements in computer vision using deep neural networks have led to effective solutions for real-world problems across various fields such as biology, earth science, healthcare, astronomy, and more. Specifically...
Come learn from alumna Esha Sahai, who is our Ventures@CICS expert on venture capital.
This fast-paced session will include:
Mini-Lecture VC/Startup Challenge Judging Closing and QuestionsYou're...
The Product Management Club meets weekly on Tuesday nights to discuss trends in technology, conduct product thinking seminars, work on case studies, read books, and occasionally prep together for PM recruitment. All UMass...
In recent years, the impacts of climate change have become more visible, raising concern and active movement in sustainability efforts. For instance, energy transition, which focuses on shifting from traditional fossil...
Abstract: A core aspect of our social lives is often embedded in the communities we are situated in. Our shared experiences and social ties intertwine our situated context with our wellbeing. Higher wellbeing enables us...
Abstract: Shortest paths in graphs have been studied in computer science for over 60 years. Many different variants of shortest path problems can be solved by well-known, efficient algorithms. However, in most real-world...
Abstract: Modern computing systems are complex and opaque, posing significant security risks. Transparent computing aims to expose these black boxes to better comprehend system behaviors. Recent advances in artificial...