CMU AI
@AIatCMU
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Uniting students, faculty & staff from all areas, to bring you cutting edge research on the fields and sub-fields of AI.
Pittsburgh, PA
Joined March 2019
Building Machine Learning Models via Comparisons by Yichong Xu @mldcmu Nowadays most #machinelearning models predict labels from features... Can we do more? Can we learn a model without too many feature-label pairs? Learn more: https://t.co/ctrUz483RH
#ML #AI
blog.ml.cmu.edu
Nowadays most machine learning (ML) models predict labels from features. In classification tasks, an ML model predicts a categorical value and in regression tasks, an ML model predicts a real value....
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From machine learning to cheesecakes, entrepreneurs tell their stories of assuming the risk https://t.co/enkAHTEXMO via @nwasianweekly #cmuai @thebuttermilkco @mldcmu #scsatcmu #machinelearning #datascience #healthyliving #carnegiemellon
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How scientists are using facial and verbal expressions to teach AI to identify mental illness https://t.co/Xw30YQvRwN via @kpcc - @ltiatcmu @scsatcmu #cmuai #ai #machinelearning #artificialintelligence #mentalillness #research #scsatcmu #mldcmu
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.@marinusAI a #CarnegieMellon #AI startup is using facial recognition to help law enforcement catch sex traffickers https://t.co/LkpSQxKEe7 via @PittsburghPG #cmuai #ml #machinelearning #artificialintelligence #Pittsburgh
post-gazette.com
Marinus Analytics uses facial recognition technology to help authorities catch leaders of human sex trafficking rings.
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Congratulations to the #SCSatCMUFoundersDay 2019 winners and nominees for their outstanding dedication, for sharing our collective efforts, recognizing the good work of faculty and staff, as well as looking towards the future of #SCSatCMU! - …
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@3RVF AI & Machine Learning: powering the next wave of the industry innovation @RoadBoticsNA @PetuumInc @SCSatCMU
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Preetha Swamy & @bbeats1 of @HeinzRadio (a podcast produced by students at @CarnegieMellon's @HeinzCollege) recently sat down with Professor David Danks to talk #AI. Here's a link to the full episode! - https://t.co/NYTQ5yrLO1
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#Delta87 built a machine-learning algorithm in collaboration with #CarnegieMellon, which scoured official aid program descriptions to figure out which countries committed how much, to tackle which forms of exploitation, when and where - https://t.co/mTaQmErPOu via @UN #cmuai #ml
news.un.org
A new interactive data tool created by the UN University Centre for Policy Research, which shows a mismatch between where modern slavery occurs, and where governments are spending resources to...
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RT @Kenneth_Marino: Introducing HRL-EP3, our upcoming @iclr2019 paper on efficiently learning sparse-reward locomotion policies by learning many low-level skills, using a phase function as input. Work done with @facebookai and @mldcmu. Check out video, p…
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Bias and Fairness in Machine Learning Systems for People with Disabilities by @jeffbigham Learn more: https://t.co/8LPgKeGiW8
@cmuhcii
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RT @bigdata: Random search and reproducibility for neural architecture search 🎙@atalwalkar of @mldcmu @DeterminedAI will be speaking at #TheAIconf NYC in a few weeks https://t.co/23HCekEjzW
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RT @Pittsburgh_AI: Tonight, join @cityofasylum as we ask “can we trust our AI?”. The event will feature @CarnegieMellon's @hadmoni, @maximolly, & David Danks. - https://t.co/F0CX12aU5B
#AI
cityofasylum.org
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How Google, Amazon & Twitter could benefit from a new approach to ... counting. ML-based frequency estimation: https://t.co/R2XCJn7WQX
#NotAprilFools #ml #MachineLearning
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RT @Ryan0Shea: This slide was shown during the AI #Ethics talk at #WeInnovatePGH. I totally agree! #Pittsburgh is poised to be a leader not only in AI, but in ethical #AI. #AIforGood
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Congratulations to the well-deserved recipients of the @jpmorgan #AI Research Awards 2019, @atalwalkar , Ariel Procaccia, @tommmitchell and Adarsh Prasad @mldcmu - https://t.co/Z2hcetBAvv
#machinelearning #artificialintelligence #jpmorgan #research #ml #cmuai
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RT @atalwalkar: Excited to share the SysML whitepaper in advance of #SysML19! https://t.co/n3BAsaSWpX …
Really excited for #SysML19 ( https://t.co/kWG0Zwyl1q) starting tonight! Check out our whitepaper laying out some directions & core questions at the intersection of systems + ML, co-authored by members of the steering, organizing, and program committees:
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RT @MIT_CSAIL Machine learning cheat sheets: https://t.co/xyWPeZq4fa (credit: @shervinea and @afshinea) #BigData #DataScience #DeepLearning #AI #Algorithms #machinelearning
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RT @alshedivat: Excited to announce our @icmlconf Workshop on Adaptive and Multitask Learning! Submission deadline: May 1. https://t.co/OzXv5oMZYs w/ @eaplatanios, @otilia_stretcu, @jacobandreas, @atalwalkar, @tommmitchell, Rich Caruana & Eric Xing #MetaLearning #MultitaskLea…
amtl-workshop.org
Overview Driven by progress in deep learning, the machine learning community is now able to tackle increasingly more complex problems—ranging from multi-modal reasoning to dexterous robotic manipul...
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Huge leaps in #AI have made facial recognition smarter than your brain - "We live in a time where AI can surpass the human brain's capability." Marios Savvides, director of @CyLab
https://t.co/eYBZXJSXGc via @CNET
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