Live-Stream


NASA TROPICS CubeSat Constellation Mission

07 April  10:00 am EDT

Abstract: Recent technology advances in miniature microwave radiometers that can be hosted on very small satellites have made possible a new class of constellation missions that provide very high revisit rates of tropical cyclones and other severe weather. The Time-Resolved Observations of Precipitation structure and storm Intensity with a Constellation of Smallsats (TROPICS) mission was selected by NASA as part of the Earth Venture–Instrument (EVI-3) program and is now delivering hardware to launch providers for the Pathfinder CubeSat demonstration in June 2021 and the constellation mission in early 2022. The overarching goal for TROPICS is to provide nearly all-weather observations of 3-D temperature and humidity, as well as cloud ice and precipitation horizontal structure, at high temporal resolution to conduct high-value science investigations of tropical cyclones (TCs), including: (1) relationships of rapidly evolving precipitation and upper cloud structures to upper-level warm-core intensity and associated storm intensity changes; (2) evolution (including diurnal variability) of precipitation structure and storm intensification in relationship to environmental humidity fields; and (3) the impact of rapid-update observations on numerical and statistical intensity forecasts of tropical cyclones. TROPICS will provide rapid-refresh microwave measurements (median refresh rate better than 60 minutes for the baseline mission) over the tropics that can be used to observe the thermodynamics of the troposphere and precipitation structure for storm systems at the mesoscale and synoptic scale over the entire storm lifecycle. TROPICS will comprise a constellation of six 3U CubeSats in three low-Earth orbital planes. Each CubeSat will host a high performance scanning radiometer to provide temperature profiles using seven channels near the 118.75 GHz oxygen absorption line, water vapor profiles using three channels near the 183 GHz water vapor absorption line, imagery in a single channel near 90 GHz for precipitation measurements (when combined with higher resolution water vapor channels), and a single channel at 205 GHz that is more sensitive to precipitation-sized ice particles and low-level moisture. This observing system offers an unprecedented combination of horizontal and temporal resolution in the microwave spectrum to measure environmental and inner-core conditions for TCs on a nearly global scale and is a major leap forward in the temporal resolution of several key parameters needed for assimilation into advanced data assimilation systems capable of utilizing rapid-update radiance or retrieval data. This presentation will provide an overview of the mission and an update on current status, with a focus on recent performance simulations on a range of observables to be provided by the constellation, including temperature, water vapor, rain rate, and TC intensity indicators.

Speaker
Dr. William J. Blackwell is the Associate Leader of the Applied Space Systems Group at MIT Lincoln Laboratory, where he leads a number of projects involving atmospheric remote sensing, including the development and calibration of airborne and spaceborne microwave sensors, the retrieval of geophysical products from remote radiance measurements, and the application of electromagnetic, signal processing, and estimation theory.

Dr. Blackwell has served as Associate Editor of the IEEE Transactions on Geoscience and Remote Sensing and the IEEE Geoscience and Remote Sensing Society (GRSS) Magazine, Co-chair of the IEEE GRSS Remote Sensing Instruments and Technologies for Small Satellites working group, the NASA Aqua science team, and the National Academy of Sciences Committee on Radio Frequencies. He is currently the Principal Investigator on the NASA TROPICS Earth Venture mission and the MicroMAS (Micro-sized Microwave Atmospheric Satellite) missions. He was previously the Integrated Program Office Sensor Scientist for the Advanced Technology Microwave Sounder on the Suomi National Polar Partnership launched by NOAA in 2011 and the Atmospheric Algorithm Development Team Leader for the NPOESS Microwave Imager/Sounder.

Dr. Blackwell received the 2009 NOAA David Johnson Award for his work in neural network geophysical parameter retrievals and microwave calibration and is co-author of Neural Networks in Atmospheric Remote Sensing (Artech House, 2009) and Microwave Radar and Radiometric Remote Sensing (Artech House, 2015). He was selected as a 2012 recipient of the IEEE Region 1 Managerial Excellence in an Engineering Organization Award "for outstanding leadership of the multi-disciplinary technical team developing innovative future microwave remote sensing systems." Dr. Blackwell has over 140 publications related to atmospheric remote sensing and is a Fellow of the IEEE for “contributions to atmospheric remote sensing algorithms and instrumentation”.

Dr. Blackwell received the B.E.E. degree in electrical engineering from the Georgia Institute of Technology and the S.M. and Sc.D. degrees in electrical engineering and computer science from the Massachusetts Institute of Technology, where he was a National Science Foundation Graduate Research Fellow. .

Abstract:

GPU/accelerator architectures have greatly improved the training and inferencing speed for neural-network-based machine learning models. As major industry players race to develop ambitious applications such as self-driving vehicles, unstructured data analytics, human-level interactive systems, and human intelligence augmentation, major challenges remain in computational methods as well as hardware/software infrastructures required for these applications to be effective, robust, responsive, accountable and cost-effective. These applications impose much higher levels of data storage capacity, access latency, energy efficiency, and throughput. In this talk, I will present a vision for building a new generation of computing components and systems for these applications.

Speaker’s Bio:

Wen-mei W. Hwu is a Professor and holds the Sanders-AMD Endowed Chair in the Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign. He is the director of the IMPACT research group (www.crhc.uiuc.edu/Impact). He co-directs the IBM-Illinois Center for Cognitive Computing Systems Research (C3SR) and serves as one of the principal investigators of the NSF Blue Waters Petascale supercomputer. For his contributions, he received the ACM SigArch Maurice Wilkes Award, the ACM Grace Murray Hopper Award, the IEEE Computer Society Charles Babbage Award, the ISCA Influential Paper Award, the IEEE Computer Society B. R. Rau Award and the Distinguished Alumni Award in Computer Science of the University of California, Berkeley. He is a fellow of IEEE and ACM. Dr. Hwu received his Ph.D. degree in Computer Science from the University of California, Berkeley.

Description

The Low Power Image Recognition Challenge (LPIRC) 2019 is a one-day workshop that will extend the successes of LPIRC from the past four years, identifying the best computer vision solutions that can simultaneously achieve high accuracy and energy efficiency. Since the first competition, held in 2015, the winners’ solutions have improved 24x in the ratio of accuracy divided by energy.

The live-stream of LPIRC will feature presentations from researchers and last year's winner (all times PDT):

09:30-09:40 - Welcome by Organizers and Summary of Online Challenge

09:40-10:30 - 2018 competition winners will give a talk on their winning solutions — Amazon's Tao Sheng, and Expasoft's Alexander Goncharenko and Sergey Alyamkin

10:30-11:10 - Invited Talk: Rethinking the Computations in Computer Vision (and the Hardware that Computes Them) - UC Berkeley's Kurt Keutzer

11:10-13:40 - Live-stream will shut down temporarily

13:40-14:00 - Invited Talk: Visual Wake Words Challenge - Google's Aakanksha Chowdhery and Pete Warden

Additional Supporting Details

  • Additional Speaker

    Title, Company

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  • Additional Speaker

    Title, Company

    Brownie sesame snaps candy canes. Wafer muffin powder chocolate bear claw bonbon pastry. Topping caramels carrot cake marshmallow soufflé icing.

  • Additional Speaker

    Title, Company

    Brownie sesame snaps candy canes. Wafer muffin powder chocolate bear claw bonbon pastry. Topping caramels carrot cake marshmallow soufflé icing.

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  • Brownie sesame snaps candy canes. Wafer muffin powder chocolate bear claw bonbon pastry. Topping caramels carrot cake marshmallow soufflé icing.

    > Read More

  • Brownie sesame snaps candy canes. Wafer muffin powder chocolate bear claw bonbon pastry. Topping caramels carrot cake marshmallow soufflé icing.

    > Read More

  • Brownie sesame snaps candy canes. Wafer muffin powder chocolate bear claw bonbon pastry. Topping caramels carrot cake marshmallow soufflé icing.

    > Read More

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