Team NAM (Never Alone with Me), led by Assistant Professor Jia Xu, finished second in this year's Alexa Prize SocialBot Grand Challenge 5 (SGC5), a competition which focuses on creating an Alexa skill that easily chats with users on trending topics and news for 20 minutes. The team was awarded $50K.
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Team NAM (Never Alone with Me), led by Assistant Professor Jia Xu, finished second in this year's Alexa Prize SocialBot Grand Challenge 5 (SGC5), a competition which focuses on creating an Alexa skill that easily chats with users on trending topics and news for 20 minutes. The team was awarded $50K.
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Generative AI can be unnerving, exciting and alao wildly inaccurate in generating far-ranging content. Enter Assistant Professor Michael Greenberg, who has helped develop open-sourced MultiPL-E (Multiple Programming Languages Evaluation), described as "the first massively parallel multi-language benchmark for code generation." |
Generative AI can be unnerving, exciting and also wildly inaccurate in generating far-ranging content. Enter Assistant Professor Michael Greenberg, who has helped develop the open-source MultiPL-E (Multiple Programming Languages Evaluation), described as "the first massively parallel multi-language benchmark for code generation."
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Computer scientist and Assistant Professor Jia Xu works to pinpoint, analyze and remove potential sources of bias from the AI systems that approve or deny mortgages, recommend jail sentences for criminals and more. |
Computer scientist and Assistant Professor Jia Xu works to pinpoint, analyze and remove potential sources of bias from the AI systems that approve or deny mortgages, recommend jail sentences for criminals and more. |
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Stevens Professor Yue Ning designs AI to unlock data patterns that can forecast civil unrest, hate speech, epidemics — maybe even a looming heart attack. |
Stevens Professor Yue Ning designs AI to unlock data patterns that can forecast civil unrest, hate speech, epidemics — maybe even a looming heart attack. |
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Assistant Professor Michael Greenberg has earned a $556,063 grant from the National Science Foundation (NSF) for his project, “Scaling Unix/Linux Shell Programs,” which aims to modernize shell programming environments so it can scale for current technology and handle ever-increasing volumes of Big Data. |
Assistant Professor Michael Greenberg has earned a $556,063 grant from the National Science Foundation (NSF) for his project, “Scaling Unix/Linux Shell Programs,” which aims to modernize the shell programming environment so it can scale for current technology and handle ever-increasing volumes of Big Data. |
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Assistant Professor and Charles Berendsen Junior Professor Eric Koskinen recently received a $593,022 National Science Foundation grant to develop formal, yet user-friendly, proofs for verifying the accuracy of concurrent software. New methods, algorithms and tools will allow everyday programmers without a formal methods background to verify their concurrent software.
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Assistant Professor & Charles Berendsen Junior Professor Eric Koskinen recently received a $593,022 National Science Foundation grant to develop formal, yet user-friendly, proofs for verifying the accuracy of concurrent software. New methods, algorithms and tools will allow everyday programmers without a formal methods background to verify their concurrent software.
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