HotPopRobot: Space, Robots, AI, Machine Learning

@wonrobot

Winners: NASA SpaceApps 2019/2018/2017/2014. Royal Astronomical Society Canada Award 2019/18. Canada SpaceApps 2017. Canada Top 5 Science Blog 2019. Be Curious!

Toronto, Canada
Vrijeme pridruživanja: veljača 2014.

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  1. Prikvačeni tweet

    Siblings Artash and Arushi sharing their love for Space, Robots, and their NASA winning project "Deep Space Musical" on "Breakfast Television Toronto" with co-hosts Watch the video:

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  2. and fascinates everyone! Checkout 10-year-old Arushi demo her AI-powered: Make an Astronaut Smile (MARS) Robot that detects facial emotions to made sad Astronauts happy during their long term missions.

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  3. Watch Arushi talk to about her Robot: Make an Astronaut Smile (MARS). Inspired by visit to Canadian Space Agency she created the Robot to keep Canadian Astronauts happy during their mission to space!

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  4. Artash will give a talk on "Predicting Exoplanetary Atmosphere using and Data" at Royal Astronomical Society of Canada Toronto Meeting. Ontario Science Centre 29 Jan. 7.30 pm.

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  5. 21. sij

    Announcement: speaker at in is the awesome Artash Nath! The 13 year old co-founder of has pioneered the “Mars Rover and Artificial Intelligence Projects linked Space Exploration.” Welcome Artash! 🥁want some inspiration? Join us in Montreal

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  6. 21. sij

    I absolutely cannot wait for this in : Artash and Aruthi Nash are co founders of and are speaking on the 25-26 March on space exploration using . Incredible duo and bang on with one of my themes for 2020 on Need a pass? DM me

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  7. Thank you. I am looking forward to speaking at 2020 in Montreal and speaking on "AI for Space Applications: Autonomous Rovers, Planetary Defense, and Exoplanetary Atmosphere Detection".

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  8. 19. sij

    Arushi Nath and Artash Nath, the youngest innovators at the 2020 conference, present their work on the application of artificial intelligence in data analysis for astronomy and space exploration.

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  9. One of our members Artash Nath, researcher & Grade 8 student, has been working a LSTM-based model that removes noise from space telescope observations on exoplanets, and has open sourced his project (). Check out his research here: .

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  10. Artash & Arushi display their Robots that 3D Map environment, objects, sound around them to contextualize their conversation. Innovation Nation Conference, Hamilton, Canada. Use @INCRoboticsComp

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  11. Thank you Space Mission team for the opportunity to present my "Hybrid Model to Remove Noise from Exoplanet Data" at the Conference. Thanks to many who inspired my Journey

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  12. 16. sij

    Great to hear from 8th grade student Artash Nath on his efforts with the ARIEL data challenge. He's even made it available online so others can use it, including in schools!

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  13. Artash and Arushi will give a talk on "Youth, Artificial Intelligence & Space Exploration" and unveil their Robot at 2020 Innovation Nation Conference. Hamilton. 19 Jan. Former Canadian Astronaut will deliver the keynote. Free Admission.

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  14. Looking forward to presenting my project "Hybrid Model to Remove Noise from Exoplanet Data“ 2020 Conference . Uses time series (transit light curve) & numerical data to predict planet-star radius ratio.

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  15. Big thanks to team and CEO Mina Mitry for organising the tour of their Operational Room and meetings with Systems, Communication, Hardware, and Software Engineers. So inspired! We will be applying the learnings in our ongoing space-related projects.

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  16. Thanks Google Developer Groups for featuring our work on and and giving us an opportunity to present our projects at Great things happen when we learn to hack our curiosity

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  17. Thank you for having us at Quantum Hackathon for the last 2 days. Learned a lot from other speakers, teams and mentors. Enjoyed delivering my presentation on "Music Fitting" using and continuous-variable quantum neural network mode.

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  18. Great fun hacking and discussing Random numbers, Quantum Generative Adversarial Networks and classifiers. Thanks to speakers/mentors: Will, Leonardo, Antal, Josh, Nathan, Chris for answering my queries.

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  20. Complexities of using Machine Learning (CNN, RNN, Hybrid) on Functional MRI (fMRI) scans of the brain. Big Challenges, Sparse public data. Some learnings from hacking Krembil Centre for Neuroinformatics 13-15 Nov

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  21. Learnings from Python Neuroimaging Workshop (Day 1) organized by BrainHack Toronto 2019 Brain Imaging Data Structure (BIDS), Voxels, fMRI and DMRI analysis, project pitches and more!

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