- Deep Learning for Good: Using Deep Learning to Solve Grand Challenges
Please note that RSVPing does not guarantee attendance. You must respond to the survey questions and we will send you an invite code. Join the Deep Learning LA Meetup, SignalFire, Google Cloud for Startups, and the XPRIZE Foundation for a workshop with the top deep learning engineers in Los Angeles to collaborate on solutions to some of the world’s grand challenges. During the workshop, participants will break into small groups and be assigned a specific technical challenge within a broader grand challenge (eg. how can we optimize the delivery of clean water to villages in Sub-Saharan Africa?) Throughout the evening, participants will collaborate on possible technical solutions to their given challenge and then present back to the group at end of the event. The AI XPRIZE team will be on hand during the event to help contextualize the challenges that are presented and engineers from Google will be present to float between groups and collaborate on solutions. Hosted at the XPRIZE Foundation offices, the AI XPRIZE team will share information about the prize and the initiatives that have spun out of it, including the annual AI for Good Global Summit co-organized with the United Nations. Additionally, SignalFire, an AI-driven VC fund will be co-hosting the event and sharing information about you get involved in their community. Food and drinks will be generously provided by Google Cloud for Startups
- CoinTalks – Thought Leaders in Blockchain and Crypto
CoinTalks is LA's flagship crypto event - so if you go to one crypto event this year, this is the one. CoinTalks is a thought leadership speaker series, much like a "TED for Crypto" - sponsored by Microsoft and CryptoLA. August 19th 2018, 2PM, at Microsoft Los Angeles. Leading figures in the world of blockchain and cryptocurrency will be speaking on a range of topics - from broader social impacts of blockchain/cryptocurrency, to the evolution and future of cryptocurrency exchanges, to what the kinds of novel apps are enabled by blockchain that were never before possible. Speakers include William Quigley - CEO of WAX Token, Sam Hamidi-Kazemian - CEO of Everipedia, Andrew Gazdecki - CEO of Altcoin.io, and Dr. Debajyoti Ray, PhD. - Principal at Coin Labs. Tickets are available on Eventbrite and will be checked at the door. Food and drinks will be served. https://www.eventbrite.com/e/48110771613
- Join Persian Women In Tech LA for our January 2018
• What we'll do https://www.facebook.com/events/785566168283760/ Join Persian Women In Tech LA for our January 2018 event on Thursday, January 25, 2018 from 6:30pm - 9:30pm hosted by Hulu. This special event is open to all Women and Men In Tech/ STEM. Agenda: 6:30pm - 7:30pm: Check-in and networking 7:30pm - 7:35pm: Welcome note 7:35pm - 8:20pm: Panel: "Looking into the Future: Innovation and Technology in 2018" Moderated by: Elle Tousi- International Journalist and Founder of In One Minute Panelists: Pooya Akba, Founder of Indemandu Elle Toussi, International Journalist and Founder of In One Minute Mohammad Reza Rajati, Lecuturer and member of Intelligent Decision Analysis Elnaz Nouri, Head of Natural Language Processing at ObEN 7:20pm - 8:30pm: Q&A 8:30pm - 9:30pm Networking --------- Check out "Persian Women In Tech LA January 2018" https://pwitlajan2018.eventbrite.com/?aff=estw&utm_source=tw&utm_medium=discovery&utm_content=attendeeshare&utm_campaign=social&utm_term=listing via @Eventbrite • What to bring • Important to know Please register ahead of time and spread the word : https://www.eventbrite.com/e/persian-women-in-tech-la-january-2018-tickets-41501425882 Check out "Persian Women In Tech LA January 2018" https://pwitlajan2018.eventbrite.com/?aff=estw&utm_source=tw&utm_medium=discovery&utm_content=attendeeshare&utm_campaign=social&utm_term=listing via @Eventbrite https://www.facebook.com/events/785566168283760/
- Deep Learning Mini-Symposium
Deep Learning | Los Angeles is organizing a mini-symposium with talks given by some of the leading researchers in the field. Confirmed speakers are: Ben Taylor - Chief Data Officer at Ziff.ai Szilard Pafka - Chief Data Scientist at Epoch Nir Regev - Tracking Algorithms Lead at Genius Sports Wonkyum Lee - Lead Software Engineer at Gridspace Debajyoti (Deb) Ray - CTO at End Cue Kevin Mehrabi - Master of Ceremonies The event is free to attend and hosted at the Microsoft Playa Vista campus. Organized by Kevin Mehrabi and Debajyoti Ray of Deep Learning Los Angeles. Special thanks to sponsors Microsoft and Pure Storage. Additional sponsorship opportunities available. Inquire via direct message to the organizers.
- Algorithmic Bias in Artificial Intelligence: The Seen and Unseen
Time: 3:00 pm - 4:00 pm Location: 11th Floor Large Conference Room  Abstract: The success of machine learning has surged, with similar algorithmic approaches effectively solving a variety of human-defined tasks. Tasks testing how well machines can perceive images and communicate about them have exposed strong effects of different types of bias, such as selection bias and dataset bias. In this talk, I will unpack some of these biases, and how they affect machine perception today. Bio: Margaret Mitchell is a Senior Research Scientist in Google's Research & Machine Intelligence group, working on artificial intelligence. Her research generally involves vision-language and grounded language generation, focusing on how to evolve artificial intelligence towards positive goals. This includes research on helping computers to communicate based on what they can process, as well as projects to create assistive and clinical technology from the state of the art in AI.
- Machine Learning Art & Creativity talk - Oct 4, 4pm
Time: Oct 4, 4pm Place: Annenberg 105 Speaker: Ahmed Elgammal, Rutgers Host: P. Perona ([masked] to meet the speaker) Title: The Shape of Art History In the Eyes of the Machine Abstract: In this talk, I will argue that teaching the machine how to look at art is not only essential for advancing artificial intelligence, but also has the potential to help address the division between the arts and sciences. I will present results of recent research activities at the Art and Artificial Intelligence Laboratory at Rutgers University. We investigate perceptual and cognitive tasks related to human creativity in visual art. In particular, we study problems related to art styles, influence, and the quantification of creativity. We develop computational models that aim at providing answers to questions about what characterizes the sequence and evolution of changes in style over time. The talk will cover advances in automated prediction of style, how that relates to art history methodology, and what that tells us about how the machine sees art history. The talk will also delve into our recent research on quantifying creativity in art in regard to its novelty and influence, as well as computational models that simulate the art-producing system. Bio Dr. Ahmed Elgammal is a professor at the Department of Computer Science, Rutgers University. He is the founder and director of the Art and Artificial Intelligence Laboratory at Rutgers, which focuses on data science in the domain of digital humanities. He is also an Executive Council Faculty at Rutgers University Center for Cognitive Science. Prof. Elgammal has published over 160 peer-reviewed papers, book chapters, and books in the fields of computer vision, machine learning and digital humanities. He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE). He received several National Science Foundation research grants, including the CAREER Award in 2006. Dr. Elgammal research on knowledge discovery in art history received worldwide media attention, including many reports on the Washington Post, New York Times, Boston Globe, NBC News, the Daily Telegraph, Science News, and others. In 2016 a TV short documentary produced for PBS about his research received an Emmy Award. Dr. Elgammal received his M.Sc. and Ph.D. degrees in computer science from the University of Maryland, College Park, in 2000 and 2002, respectively.
- Neural Creative Language Generation
Abstract: Natural language generation (NLG) is a well studied and still very challenging field in natural language processing. One of the less studied NLG tasks is the generation of creative texts such as jokes, puns, or poems. Multiple reasons contribute to the difficulty of research in this area. First, no immediate application exists for creative language generation. This has made the research on creative NLG extremely diverse, having different goals, assumptions, and constraints. Second, no quantitative measure exists for creative NLG tasks. Consequently, it is often difficult to tune the parameters of creative generation models and drive improvements to these systems. Finally, rule based systems for creative language generation are not yet combined with deep learning methods. In this work, we address these challenges for poetry generation which is one of the main areas of creative language generation. We introduce password poems as a novel application for poetry generation. Furthermore, we combine finite-state machinery with deep learning models in a system for generating poems for any given topic. We introduce a quantitative metric for evaluating the generated poems and build the first interactive poetry generation system that enables users to revise system generated poems by adjusting style configuration settings like alliteration, concreteness and the sentiment of the poem. In order to improve the poetry generation system, we decide to borrow ideas from human literature and develop a poetry translation system. We propose to study human poetry translation and measure the language variation in this process. we will study how human poetry translation is different from human translation in general and whether a translator translates poetry more freely. Then we will use our findings to develop a machine translation system specifically for translating poetry and proposing metrics for evaluating the quality of poetry translation. Bio: Marjan Ghazvininejad is a PhD student at ISI working with Professor Kevin Knight. Room: 11th Flr Conf Room-CR #1135 Note: Outside visitors should go to the tenth floor lobby where they will be met and escorted to the appropriate location 5 minutes before the talk.
- Improving machine translation from low resource languages
Time: 3:00 pm - 4:00 pm Location: 6th Floor Conference Room  Abstract: Statistical machine translation (MT) often needs a large corpus of parallel translated sentences in order to achieve good performance. This limits the use of current MT technologies to a few resource-rich languages. Assume an incident happens in an area with a low-resource language. For a quick response, we need to build an MT system with available data, as finding or translating new parallel data is expensive and time consuming. For many languages this means that we only have a small amount of often out-of-domain parallel data (e.g. a Bible or Ubuntu manual). This talk is about ways to improve machine translation in low resource scenarios. I'll talk about use of monolingual data and parallel data from related languages to improve machine translation from the low resource language into English. Bio: Nima Pourdamghani is a fourth year Ph.D. student at ISI. He works with Professor Kevin Knight on machine translation from low resource languages. Note: Outside visitors should go to the tenth floor lobby where they will be met and escorted to the appropriate location 5 minutes before the talk.
- Deep Learning at Whisper HQ! - March 30th, 2017
Whisper will be hosting this Deep Learning Los Angeles meetup at their headquarters in Venice to discuss their amazing accomplishments in Machine Learning and Deep Learning, as well as their ambitious current projects. Food and drink will be catered in-house by Whisper's private chef. Whisper is an anonymous messaging app with over 30 million monthly active users, and over 17 billion 'whispers' send each month by over 250 million people around the world. (Links and more info at the bottom) The presentation will begin at 6:45PM, with doors open (food/drink/socialize) at 6:00PM Please RSVP early as demand will be high and space is limited to 75 persons. Address and transportation information: 69 Windward Ave, Venice, CA 90291 The public parking lot down the street from the location offers paid parking. If you live in the area, it is recommended that you Uber there. If you have any questions, feel free to contact me. https://en.wikipedia.org/wiki/Whisper_(app) https://www.crunchbase.com/organization/whisper https://whisper.sh/ Kevin Mehrabi, Deep Learning Los Angeles