Timezone: »
Air Learning is an interdisciplinary, open-source research infrastructure that aims to soften the boundaries between aerial robotics, machine learning, controls, and systems architecture. It provides the tooling and various components necessary for developing an end-to-end learning-based application for aerial robotics starting from simulation to deployment on a real aerial robot. By having all the key components tightly integrated, we hope researchers can use this tool to develop novel solutions to several open problems in these domains. We also hope researchers can use it to explore and understand various tradeoffs of their solution due to cross-domain interactions between algorithms and systems. Also since the infrastructure is opensource, the research community can add new features thus modifying it according to their own requirements and use cases.
Author Information
Srivatsan Krishnan (Harvard University)
Colby Banbury (Harvard)
Bardienus Duisterhof (Harvard University)
Aleksandra Faust (Google)
Vijay Janapa Reddi (Harvard University)
More from the Same Authors
-
2022 Poster: MLPerf Mobile Inference Benchmark: An Industry-Standard Open-Source Machine Learning Benchmark for On-Device AI »
Vijay Janapa Reddi · David Kanter · Peter Mattson · Jared Duke · Thai Nguyen · Ramesh Chukka · Ken Shiring · Koan-Sin Tan · Mark Charlebois · William Chou · Mostafa El-Khamy · Jungwook Hong · Tom St John · Cindy Trinh · Michael Buch · Mark Mazumder · Relja Markovic · Thomas Atta · Fatih Cakir · Masoud Charkhabi · Xiaodong Chen · Cheng-Ming Chiang · Dave Dexter · Terry Heo · Guenther Schmuelling · Maryam Shabani · Dylan Zika -
2023 Poster: Edge Impulse: An MLOps Platform for Tiny Machine Learning »
colby banbury · Vijay Janapa Reddi · Alexander Elium · Shawn Hymel · David Tischler · Daniel Situnayake · Carl Ward · Louis Moreau · Jenny Plunkett · Matthew Kelcey · Mathijs Baaijens · Alessandro Grande · Dmitry Maslov · Arthur Beavis · Jan Jongboom · Jessica Quaye -
2023 Poster: XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse »
Hyoukjun Kwon · Krishnakumar Nair · Jamin Seo · Jason Yik · Debabrata Mohapatra · Dongyuan Zhan · JINOOK SONG · Peter Capak · Peizhao Zhang · Peter Vajda · Colby Banbury · Mark Mazumder · Liangzhen Lai · Ashish Sirasao · Tushar Krishna · Harshit Khaitan · Vikas Chandra · Vijay Janapa Reddi -
2023 : Closing Remarks »
Vijay Janapa Reddi -
2023 Workshop: Workshop on Systems for Next-Gen AI Paradigms »
Jason Yik · Brian Anderson · Charlotte Frenkel · Vijay Janapa Reddi · Zergham Ahmed -
2023 Workshop: The 3rd On-Device Intelligence Workshop »
Vijay Janapa Reddi · Paul Whatmough · Vikas Chandra · Pete Warden · Brian Plancher · Colby Banbury · Matthew Stewart -
2023 : Opening Remarks »
Colby Banbury -
2022 Oral: MLPerf Mobile Inference Benchmark: An Industry-Standard Open-Source Machine Learning Benchmark for On-Device AI »
Vijay Janapa Reddi · David Kanter · Peter Mattson · Jared Duke · Thai Nguyen · Ramesh Chukka · Ken Shiring · Koan-Sin Tan · Mark Charlebois · William Chou · Mostafa El-Khamy · Jungwook Hong · Tom St John · Cindy Trinh · Michael Buch · Mark Mazumder · Relja Markovic · Thomas Atta · Fatih Cakir · Masoud Charkhabi · Xiaodong Chen · Cheng-Ming Chiang · Dave Dexter · Terry Heo · Guenther Schmuelling · Maryam Shabani · Dylan Zika -
2021 : The Future of ML is Tiny and Bright: Challenges and Opportunities »
Vijay Janapa Reddi -
2021 Workshop: 2nd On-Device Intelligence Workshop »
Paul Whatmough · Vijay Janapa Reddi · Chuteng Zhou · Igor Federov · Matthew Mattina · Pete Warden · Ganesh Venkatesh · Vikas Chandra -
2021 Poster: RL-Scope: Cross-stack Profiling for Deep Reinforcement Learning Workloads »
James Gleeson · Srivatsan Krishnan · Moshe Gabel · Vijay Janapa Reddi · Eyal de Lara · Gennady Pekhimenko -
2021 Oral: RL-Scope: Cross-stack Profiling for Deep Reinforcement Learning Workloads »
James Gleeson · Srivatsan Krishnan · Moshe Gabel · Vijay Janapa Reddi · Eyal de Lara · Gennady Pekhimenko -
2021 Poster: TensorFlow Lite Micro: Embedded Machine Learning for TinyML Systems »
Robert David · Jared Duke · Advait Jain · Vijay Janapa Reddi · Nat Jeffries · Jian Li · Nick Kreeger · Ian Nappier · Meghna Natraj · Tiezhen Wang · Pete Warden · Rocky Rhodes · Rocky Rhodes -
2021 Poster: MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers »
Colby Banbury · Chuteng Zhou · Igor Fedorov · Ramon Matas · Urmish Thakker · Dibakar Gope · Vijay Janapa Reddi · Matthew Mattina · Paul Whatmough -
2021 Oral: TensorFlow Lite Micro: Embedded Machine Learning for TinyML Systems »
Robert David · Jared Duke · Advait Jain · Vijay Janapa Reddi · Nat Jeffries · Jian Li · Nick Kreeger · Ian Nappier · Meghna Natraj · Tiezhen Wang · Pete Warden · Rocky Rhodes · Rocky Rhodes -
2021 Oral: MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers »
Colby Banbury · Chuteng Zhou · Igor Fedorov · Ramon Matas · Urmish Thakker · Dibakar Gope · Vijay Janapa Reddi · Matthew Mattina · Paul Whatmough -
2020 Oral: MLPerf Training Benchmark »
Peter Mattson · Christine Cheng · Gregory Diamos · Cody Coleman · Paulius Micikevicius · David Patterson · Hanlin Tang · Gu-Yeon Wei · Peter Bailis · Victor Bittorf · David Brooks · Dehao Chen · Debo Dutta · Udit Gupta · Kim Hazelwood · Andy Hock · Xinyuan Huang · Daniel Kang · David Kanter · Naveen Kumar · Jeffery Liao · Deepak Narayanan · Tayo Oguntebi · Gennady Pekhimenko · Lillian Pentecost · Vijay Janapa Reddi · Taylor Robie · Tom St John · Carole-Jean Wu · Lingjie Xu · Cliff Young · Matei Zaharia -
2020 Poster: MLPerf Training Benchmark »
Peter Mattson · Christine Cheng · Gregory Diamos · Cody Coleman · Paulius Micikevicius · David Patterson · Hanlin Tang · Gu-Yeon Wei · Peter Bailis · Victor Bittorf · David Brooks · Dehao Chen · Debo Dutta · Udit Gupta · Kim Hazelwood · Andy Hock · Xinyuan Huang · Daniel Kang · David Kanter · Naveen Kumar · Jeffery Liao · Deepak Narayanan · Tayo Oguntebi · Gennady Pekhimenko · Lillian Pentecost · Vijay Janapa Reddi · Taylor Robie · Tom St John · Carole-Jean Wu · Lingjie Xu · Cliff Young · Matei Zaharia