• AI Research Discussion: Towards the diagnosis of Alzheimer's Disease with AI

    AIDLE is excited to host the recipients of the Titan V Graphics card gifted by NVIDIA at the 2019 GPU technology conference for a special research discussion with a presentation describing their efforts at CITEDI-IPN. Research: Towards the diagnosis of Alzheimer's Disease with eye movement analysis and other advances conducted in our research center. Presentators: Dr. Jessica Beltrán and Dr. Mireya S. García-Vázquez Dr. Jessica Beltrán received her bachelor's degree in Electronics Engineering from Instituto Tecnológico de Sonora. She received her Master and PhD degree in Computer Science from CICESE,MX. She was a participant in a Marie Curie project and was a Faculty Scholar in the Grace Hopper Celebration Conference. She currently works as a research fellow from CONACyT assigned to IPN-Tijuana. She is interested in pervasive healthcare and machine learning. More about her research can be found in http://www.jessicabeltran.net/Publications. Dr. Mireya García received her Ph.D. Degree in Signal and Telecommunications with honors from the Rennes University I, Rennes, France. She did her Post-doctoral studies in laboratory R&D PILIMTEC in incubator enterprises at the École Nationale Supérieure des Telecommunications de Bretagne (ENST Bretagne), Brest, France. She was a leader in research projects at national and international levels, with San Diego State University, USA under a Fulbright Grant and with two prestigious French research centers in computer sciences (CNAM and LABRI) under the International French-Mexican Grant. At the academic-administrative level, she was Director of a Research Center in Tijuana, MX and then Director of the International Office of IPN. She is currently Research Advisor at IPN Research ́s Office and Professor at IPN-CITEDI. She is also the leader of the Special Projects Laboratory. Her research interests are multimedia indexing, visual content with Deep neural machines for different applications like healthcare. Abstract: In this talk, we will review current advances in eye movement analysis related to the diagnosis of Alzheimer's Disease. We will discuss the challenges and future directions in this field. Additionally, we will show different projects related to AI that we conduct in our lab in our research center (CITEDI-IPN, https://www.citedi.ipn.mx/portal/). These projects include pervasive healthcare and indexing of multimedia content (http://mexculture.cnam.fr/xwiki/bin/view/Main/WebHome). **You Must Register via Zoom to Attend** https://zoom.us/meeting/register/c96a750b7aed9a1e7c24e00bf0acd2b8 We will use Zoom with audio, video, and live recording capabilities. Each discussion group will have a “leader” who moderates the discussion, and may also give a short lead of the presentation. When possible, we'll invite the author(s) of the paper to join us to answer questions and help facilitate the discussion and understanding. Attendee Guidelines: - Try to read any materials ahead of time and find a few good questions and/or insights. - Be on time, latecomers can be disruptive for online discussions - Use a headset in a quiet location if possible, and have a good internet connection: good audio quality is essential - Have the discussion paper on your desktop ready to show via screen sharing in the event you need to point to something in a figure e.g. - There are no silly questions! - AIDLE has strict guidelines regarding discrimination based on gender, ethnicity, sexual orientation, class, and prior experience or educational background. We are all here to learn and grow! Violators will be removed from the group immediately. To reserve your spot: please deposit $2 donation via AIDLE Open Collective (https://opencollective.com/accel-ai). Those who have donated by (8 pm PDT the day before the discussion) will be added to the call on a "first come first serve" basis.

  • LatinX in AI (LXAI) Research @ ICML 2019

    Long Beach Convention & Entertainment Center

    The Official LXAI Research Workshop is co-located with ICML at the Long Beach Convention Center in Long Beach, CA on Monday, June 10th, 2019. Mission Our mission is to increase the representation of our community at the main conference and create a platform allowing our members to share their work, gain access to mentoring, collaborations, and networking opportunities with other researchers in artificial intelligence. Call for Participation The workshop is a one-day event with invited speakers, oral presentations, and posters. The event brings together faculty, graduate students, research scientists, and engineers for an opportunity to connect and exchange ideas. There will be a panel discussion and a mentoring session to discuss current research trends and career choices in artificial intelligence and machine learning. While all presenters will identify primarily as latinx, all are invited to attend. Sign-up to be a mentor: http://bit.ly/LXAI-ICML2019-MENTOR REGISTRATION OPEN To attend the LXAI workshop, please register for the ICML tutorial day. Note: registration for the full conference is optional, and registration for the tutorials is refundable if you are unable to make it. Please register by May 19th to secure the early-bird pricing, and (if applicable) upload your student ID for a discount. After registering for ICML click the 'Join Us' button to register for our event so that we can have a headcount, your information, and any special needs. Full Details: http://www.latinxinai.org/icml-2019 Registration: https://lxai-icml2019.eventbrite.com

  • LXAI + BAI Research @ ICLR

    Ernest N Morial Convention Center

    The LatinX in AI Coalition is partnering with Black in AI to host a joint gathering and dinner at the Seventh International Conference on Learning Representations (ICLR) in New Orleans May 7th, 2019 at the Ernest N. Morial Convention Center. Mission Our mission is to increase representation of our communities at the main conference and create a platform allowing our members to share their work, gain access to mentoring, collaborations, and networking opportunities with other researchers in artificial intelligence. Full Details: http://www.latinxinai.org/iclr-2019 Registration: https://lxai-bai-iclr-2019.eventbrite.com

  • Intro to Image Captioning in PyTorch Workshop @ Nvidia GTC

    San Jose McEnery Convention Center

    You're invited to join me as I speak on Image Captioning in Pytorch at NVIDIA’s GPU Technology Conference March 17-21 in Silicon Valley. In this lab, we'll walk through an example of image captioning in Pytorch. We'll begin by downloading and training on the coco image dataset, review data augmentation with cropping, rotating, flipping and resizing images. We'll then build a vocabulary for the image annotations and encode the sequences as captions. Our model for this task includes a pretrained encoder CNN to compute features on each image and the decoder RNN which handles the captioning. I'll show you the results of training and evaluation from this model including automatically captioning images not included in the training set. Use discount code GMSGTC good for 20% off any pass. Are you part of the LatinX in AI or Black in AI Community? Apply for the "I AM AI" Scholarship Grant, sponsored by NVIDIA! http://www.latinxinai.org/gtc-2019 Hope to see you at GTC 2019!

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  • LXAI + BAI @ GTC Social Mixer Sponsored by NVIDIA

    Hyatt Place San Jose /Downtown

    Join the LatinX in AI Coalition (LXAI) and Black in AI Organization (BAI) at the GPU Technology Conference for a social mixer sponsored by Nvidia! Register: https://lxai-bai-gtc-social-mixer.eventbrite.com

  • AI Research Discussion: Model Cards for Model Reporting

    AIDLE is relaunching our AI Research Discussions in 2019! Research Paper: Model Cards for Model Reporting PDF: https://arxiv.org/abs/1810.03993 **You Must Register via Zoom to Attend** https://zoom.us/meeting/register/1ef7f6add07ea06e66858a512be5123a The main function for these discussion sessions is to understand AI research papers through community engagement and cross-collaboration. The idea is to understand the key concepts in the paper, not to go over all the minutia. Some papers may require more than one discussion period. We will use Zoom with audio, video, and live recording capabilities. Each discussion group will have a “leader” who moderates the discussion, and may also give a short lead of the presentation. When possible, we'll invite the author(s) of the paper to join us to answer questions, not to give an in-depth presentation, but rather help facilitate the discussion and understanding. Attendee Guidelines: - Try to read the paper and find a few good questions and/or insights. - Be on time, latecomers can be disruptive for online discussions - Use a headset in a quiet location if possible, and have a good internet connection: good audio quality is essential - Have the discussion paper on your desktop ready to show via screen sharing in the event you need to point to something in a figure e.g. - There are no silly questions! - AIDLE has strict guidelines regarding discrimination based on gender, ethnicity, sexual orientation, class, and prior experience or educational background. We are all here to learn and grow! Violators will be removed from the group immediately. To reserve your spot: please deposit $2 donation via AIDLE Open Collective (https://opencollective.com/accel-ai). Those who have donated by (8 pm PDT the day before the discussion) will be added to the call on a "first come first serve" basis. Looking forward to the discussion! Best, Laura Do you want to propose a research discussion? Follow our guidelines: https://github.com/AccelAI/AI-DL-Enthusiasts-Meetup/tree/master/Research-Discussion-Sessions

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  • AI Research Discussion: Dopamine - Framework for Deep Reinforcement Learning

    AIDLE is relaunching our AI Research Discussions in 2019! Research Paper: Dopamine - Framework for Deep Reinforcement Learning PDF: https://arxiv.org/pdf/1812.06110 Github: https://github.com/google/dopamine **You Must Register via Zoom to Attend** https://zoom.us/meeting/register/805afa24d226ea537510d14dfea9e911 The main function for these discussion sessions is to understand AI research papers through community engagement and cross-collaboration. The idea is to understand the key concepts in the paper, not to go over all the minutia. Some papers may require more than one discussion period. We will use Zoom with audio, video, and live recording capabilities. Each discussion group will have a “leader” who moderates the discussion, and may also give a short lead of the presentation. When possible, we'll invite the author(s) of the paper to join us to answer questions, not to give an in-depth presentation, but rather help facilitate the discussion and understanding. Attendee Guidelines: - Try to read the paper and find a few good questions and/or insights. - Be on time, latecomers can be disruptive for online discussions - Use a headset in a quiet location if possible, and have a good internet connection: good audio quality is essential - Have the discussion paper on your desktop ready to show via screen sharing in the event you need to point to something in a figure e.g. - There are no silly questions! - AIDLE has strict guidelines regarding discrimination based on gender, ethnicity, sexual orientation, class, and prior experience or educational background. We are all here to learn and grow! Violators will be removed from the group immediately. To reserve your spot: please deposit $2 donation via AIDLE Open Collective (https://opencollective.com/accel-ai). Those who have donated by (8 pm PDT the day before the discussion) will be added to the call on a "first come first serve" basis. Looking forward to the discussion! Best, Laura Do you want to propose a research discussion? Follow our guidelines: https://github.com/AccelAI/AI-DL-Enthusiasts-Meetup/tree/master/Research-Discussion-Sessions

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  • LXAI Research @ NIPS 2018

    Palais des Congrès de Montréal (Montreal Convention Centre)

    The 1st Official LXAI Research Workshop is co-located with NIPS at the Palais des Congrès de Montréal (Montreal Convention Centre) in Montréal CANADA on Saturday, December 8th, 2018. Full Details: http://www.latinxinai.org/nips-2018 Call for Participation: The workshop is a one-day event with invited speakers, oral presentations, and posters. The event brings together faculty, graduate students, research scientists, and engineers for an opportunity to connect and exchange ideas. There will be a panel discussion and a mentoring session to discuss current research trends and career choices in artificial intelligence and machine learning. While all presenters will identify primarily as latinx, all are invited to attend. Important Dates: September 10, 2018: Travel grant application deadline September 10, 2018: Abstract submission deadline September 30, 2018: Notification of submission acceptance October 24, 2018: NIPS early registration deadline December 8th, 2018: LXAI Workshop Preliminary Agenda: 08:00 - 08:30 am | Doors Open 08:30 - 09:30 am | Opening Remarks & Keynote 09:00 - 12:00 pm | Oral Presentations 12:00 - 13:00 pm | Lunch Break 13:00 - 15:00 pm | Oral Presentations 15:00 - 17:00 pm | Poster Sessions 17:00 -19:00 pm | Networking Reception Full Details: http://www.latinxinai.org/nips-2018

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  • LXAI @ Global Data Science Conference - Intro to AI Image Captioning Workshop

    LXAI is hosting a 4 Hour - Intro to AI Technical Workshop at the August Global Data Science Conference. Abstract: TBA Presenters: Laura Montoya, Founder @ Accel.AI & Co-Chair LXAI Yannet Interian, Assistant Professor @ University of San Francisco Jorge Penalva, CEO @ Lang.ai Victor Ramirez, Associate Director DevOps @ Moody's Analytics Use promo code VL20 which gives 20% discount Conference Registration: http://www.globalbigdataconference.com/santa-clara/6th-annual-global-big-data-conference/attendee-registration-105.html View complete agenda: http://www.globalbigdataconference.com/santa-clara/6th-annual-global-big-data-conference/schedule-105.html

  • LXAI: Recommendation Systems with Matrix Factorization in Pytorch

    Impact Hub San Francisco

    **Must register on Eventbrite to attend** https://lxai-recommendation-systems-pytorch.eventbrite.com About the Presenters: Yannet Interian - Assistant Professor at University of San Francisco Yannet is an Assistant Professor at University of San Francisco. Her research interests are data mining and applied statistics, using large datasets. She solves problems from advertising, viral media and on-line social networks. She holds a PhD in Applied Mathematics from Cornell University and a BS in Mathematics from the University of Havana, Cuba. She was a postdoctoral fellow at UC Berkeley. She worked for five years as a Data Scientist at Google. She co-founded Akualab, a start-up that helped organizations develop data-driven products using machine intelligence. She has designed data science courses for Berkeley and USF and is currently teaching full time for USF's Master's in Data Science program. Linkedin: https://www.linkedin.com/in/interian/ Luis Serrano, Head of Content - Artificial Intelligence at Udacity I believe education is tremendously important, and I believe every human being deserves a world-class education. This way we can improve as a society. I work towards this goal of democratizing education every day. One of the most important and ubiquitous current topics is machine learning. There is a very common misconception and it is that machine learning is a complicated subject, only accessible to those with high programming and mathematical skills. This is entirely untrue; machine learning is just the adult version of connect-the-dots, and anybody with a high school education can learn and tackle problems in machine learning. At Udacity, I am the head of the Machine Learning Nanodegree Team. Our goal is to let everybody know that they can learn machine learning, and give them the right tools for that. Linkedin: https://www.linkedin.com/in/luisgserrano/ Agenda: 6:00 PM | Doors Open 6:30 PM | Workshop Begins 7:30 PM | 10 min Break 8:30 PM | Networking 9:00 PM | Doors Close PRE-REQUISITES * Basic/Intermediate algebra (useful but might not be necessary) * Basic Computer Skills (might share slides or jupyter notebook with students prior to workshop) Sponsors: Impact Hub Latinx in AI Coalition Latino Startup Alliance

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