• [Lecture] Approach Human Heuristics with Deep Learning and RL

    JJ Lake Business Center

    ** You must register on Eventbrite for this event. 50 free passes are available for people signing up early. Register here: https://www.eventbrite.com/e/ai-frontiers-lecture-yuandong-tian-of-facebook-ai-research-tickets-71824413755 Join us to hear the cutting edge research from Facebook AI Research. Topic: Approach Human Heuristics with Deep Learning and Reinforcement Learning Speaker bio: Yuandong Tian is a Research Scientist and Manager in Facebook AI Research, working on deep reinforcement learning and its applications, and theoretical analysis of deep models. He is the lead scientist and engineer for ELF OpenGo and DarkForest Go project. Prior to that, he was a researcher and engineer in Google Self-driving Car team in[masked]. He received Ph.D in Robotics Institute, Carnegie Mellon University in 2013, Bachelor and Master degree of Computer Science in Shanghai Jiao Tong University. He is the recipient of 2013 ICCV Marr Prize Honorable Mentions. Talk summary: Deep Learning has achieved great success in recent years, in particular when dealing with natural data input (e.g., computer vision, speech recognition and natural language processing). In contrast, how to apply deep neural networks on structured data (e.g., logs, problem specifications, code) to accelerate critical applications that traditionally require decades of human heuristics still remains an open problem to address. In this talk, I will cover our recent works in which neural networks, coupled with reinforcement learning and search methods, are used to learn heuristics of a complicated optimization problem, to achieve better performance than using human experience. The application includes online job scheduling, vehicle routing, architecture search, and code decompiler. Reigster here: https://www.eventbrite.com/e/ai-frontiers-lecture-yuandong-tian-of-facebook-ai-research-tickets-71824413755

  • IEEE Artificial Intelligence Symposium - AI, the Next Decade

    5 free passes are available for our meetup members. Use the code: AI-Frontiers-FREE If you did not get the free pass, you can still get 15% discount with code: AI-Frontiers-Friends The event registration: https://www.eventbrite.com/e/ieee-artificial-intelligence-symposium-ai-the-next-decade-tickets-62462483971 IEEE in partnership with Cisco presents this symposium on "AI, The Next Decade" of Artificial Intelligence. This event features leading speakers from academic and industry including CEO/CTO level speakers, Director of Stanford AI Lab, New York Times journalist, and industry technical leaders from Cisco, Ericsson, Intel and more. From advances in AI, to how AI will affect your daily life - you'll get to hear, discuss and debate several perspectives at a full day of talks, panel discussions and networking. The event will be followed by a happy hour networking sessions! More details about the event can be found here: https://ieee.aisymposium.org/ Event Agenda: 8:00 AM - 9:00 AM: Registration and Coffee 9:00 AM - 9.15 AM: Welcome 9:15 AM - 12:30 PM: Morning Key Note and Speaker Talks 12:30 PM - 1:45 PM: Lunch 2:00 PM - 5:00 PM: Afternoon Key Note and Speaker Talks 5:00 PM - 6:00 PM: Panel Discussion on the Next Decade of AI Applications 6:00 PM - 7:00 PM: Networking and Happy Hour To register, visit: https://www.eventbrite.com/e/ieee-artificial-intelligence-symposium-ai-the-next-decade-tickets-62462483971

  • [Partner event] SYNC 2019 Silicon Valley

    Computer History Museum

    ** Our meetup member receive 50% off for this conference. Use the code: Junling_50 SYNC 2019: The most anticipated and should't-be-missed technology summit in Silicon Valley is here again! Hosted by tech media PingWest, and featuring prestigious guest speakers from different sectors, SYNC 2019 will happen on Sep. 22 at Mountain View, CA. Event link is at: https://www.eventbrite.com/e/sync-2019-silicon-valley-tech-for-good-tickets-68290698317 Get in touch with top executives from tech giants, investors, and female tech leaders who inspire others with their own experience in the tech industry. At this conference, you Could : Listen to Chief Scientist of Niantic Inc. talking about how the company made Pokémon GO and Ingress global hits. Know how Chief Security Officer (CSO) from JD.com keeps this Chinese e-commerce giant's website safe. Know about how co-founder of Blind made his app a Silicon Valley "must-have" in theage of job hopping. Hear the story of former-CFO-turned-robotics-expert using technology to improve not only many disabled people's, but also his own life. Also, get an exclusive look inside Google's in-house incubator Area 120, And Meet execs from Google, IBM, Tencent, Himalaya, Twitter and other tech giants and TOP VCs! For more information and register, visit: https://www.eventbrite.com/e/sync-2019-silicon-valley-tech-for-good-tickets-68290698317

  • Attention Augmented Convolutional Networks (Paper Discussion)

    JJ Lake Business Center

    **This is a new paper from Google Brain, coming out in April this year and presented in ICCV 2019. Convolutional networks have been the choice for computer vision applications. The convolution operation however has a significant weakness in that it only operates on a local neighborhood, thus missing global information. Self-attention, on the other hand, has emerged as a recent advance to capture long range interactions, but has mostly been applied to sequence modeling and generative modeling tasks. This paper introduces self-attention for discriminative visual tasks as an alternative to convolutions. Combining convolutions and self-attention leads to consistent improvements in image classification on ImageNet and object detection on COCO across many different models and scales, including ResNets and a state-of-the-art mobile constrained network. Paper to read: Bello, Irwan, Barret Zoph, Ashish Vaswani, Jonathon Shlens, and Quoc V. Le. "Attention augmented convolutional networks." ICCV 2019. https://arxiv.org/pdf/1904.09925 Additional reading: Ramachandran P, Parmar N, Vaswani A, Bello I, Levskaya A, Shlens J. Stand-Alone Self-Attention in Vision Models. arXiv:[masked]. 2019 Jun 13. https://arxiv.org/pdf/1906.05909 Presenter: Junling Hu This is part of the bi-weekly reading series. We come together to discuss cutting-edge AI topics and papers. One paper is selected as the major discussion topic. The meeting is led by one presenter, with group discussion and participation. Bring your questions and get answered. Socialize with other like-minded people. 6:30-7pm Meet and greet 7-8pm Paper presentation and group discussion 8-8:30 Additional social

  • [Partner event] 2019 AI Talent Summit

    Computer History Museum

    25 Free passes are available for our meetup members, use code: AIFrontier100 If you did not get a free pass, you can still receive 50% off with code: AIFrontier *** Join 400 tech & talent leaders for an engaging discussion on the AI talent landscape. Learn how different companies are building their AI capabilities & scaling their AI teams from VCs, startups, and talent leaders! Featured speakers include: * Gil Arditi (Head of ML Product @ Lyft) * Luan Lam (Global VP of People @ Harness; Advisor of Talent @ Unusual Ventures) * Jennifer Holmstrom (Head of Talent @ GGV Capital) * Georgina Salamy (Director of Talent at Zoox) * Ted Maguire (Director of Executive Talent @ Khosla Ventures) and more Event link: https://www.eventbrite.com/e/2019-ai-talent-summit-building-teams-for-the-future-of-ai-tickets-66516341167 ——————————— Event details With the rapid advancement of AI technology and commercial breakthroughs, building a strong and diverse AI team becomes increasingly critical for business success in the high-tech era. AI talent is scarce, costly and in high demand. It is challenging for all companies to gain an edge in the intense talent environment. This event aims to help tech and talent leaders better understand the AI talent market and best practices for building, nurturing, and retaining strong and diverse teams to accelerate their business growth. /// Agenda /// 1:00pm - 1:30pm Check-in & Networking 1:30pm - 1:40pm Welcome Message * Margaret Laffan: VP of Business Development @ TalentSeer; Venture Partner @ BoomingStar Ventures 1:40pm - 2:10pm AI Transformation: Progress & Future Trends * Gil Arditi: Head of Product, Machine Learning @ Lyft 2:10pm - 2:40pm AI Talent Evolution & Best Practice for Building A Strong AI Team * Alex Ren: Founder @ TalentSeer & Robin.ly; Managing Partner @ BoomingStar Ventures * Margaret Laffan: VP of Business Development @ TalentSeer; Venture Partner @ BoomingStar Ventures 2:40pm - 3:10pm Networking Break 3:10pm - 3:40pm Developing & Scaling Startup Teams From the Ground Up ‍* Luan Lam: Global VP of Talent @ Harness; Advisor of Talent @ Unusual Ventures 3:40pm - 4:10pm Leveraging the Power of Investors to Grow & Nurture Teams ‍* Jennifer Holmstolm: Head of Talent @ GGV Capital 4:10pm - 4:50pm Panel Discussion: Challenges in Building an AI Team and the Future of Work * Ted Maguire, Director of Executive Talent @ Khosla Ventures * Georgina Salamy, Director of Talent @ Zoox * Margaret Laffan, VP of Business Development @ TalentSeer (Panel Moderator) (More panelists to be confirmed) 4:50pm - 5:30pm Summit Recap & Networking Learn more about the event https://www.talentseer.com/event

  • Real-Time Open-Domain Question Answering (Paper Discussion)

    JJ Lake Business Center

    ** Please note that our location has changed Existing question answering (QA) models are not suitable for real-time usage because they need to process several long documents for every input query, which is computationally prohibitive. This paper introduces query-agnostic representations of phrases that can drastically speed up open-domain QA. In particular, their dense-sparse phrase encoding effectively captures syntactic, semantic, and lexical information of the phrases and eliminates the pipeline filtering of context documents. This model can be trained and deployed in a single 4-GPU server. The experiments on SQuAD-Open shows that this model is equal or better than previous models, with significantly less computational cost. Paper to read: Seo er al. "Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index." ACL 2019. https://arxiv.org/pdf/1906.05807 Presenter: Junling Hu This is part of the bi-weekly reading series. We come together to discuss cutting-edge AI topics and papers. One paper is selected as the major discussion topic. The meeting is led by one presenter, with group discussion and participation. Bring your questions and get answered. Socialize with other like-minded people. 6:30-7pm Meet and greet 7-8pm Paper presentation and group discussion 8-8:30 Additional social

  • Machine Learning Security: Understanding Adversarial Examples

    Machine learning solutions are created at a rapid pace. Unfortunately, little focus is placed on security. Come to this talk to learn more about a specific category of attacks on machine learning called Adversarial Examples. Presenter: Abraham Kang Short biography of the speaker: Abraham Kang is CTO of GEEEE. He works on implementing Deepfakes detection and prevention utilizing machine learning. Kang has worked for various companies helping to drive AI, security, and development. He was Senior Director at Samsung Research America. He also worked as Principal Security Researcher for Fortify in their Software Security Research group. Prior to this, Abraham worked in application security for over 10 years. Kang has a B.S. from Cornell University and JD from Lincoln Law School of San Jose. Papers to read: 1. Carlini et al, “On Evaluating Adversarial Robustness”, Feb 2019 https://arxiv.org/pdf/1902.06705v2.pdf 2. Nicholas Carlini and David Wagner. “Adversarial examples are not easily detected: Bypassing ten detection methods”. In Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, 2017. https://arxiv.org/abs/1705.07263 Agenda: 6:30-7pm Meet and greet 7-8pm Lecture and Q&A 8-8:30 Additional social

  • The Future of Dialogue Systems: A Summary of ACL 2019 Conference

    Dialog systems is the dominating theme at the just finished ACL 2019 Conference, July 28-August 2 in Florence, Italy. I will report on the papers, new ideas, and upcoming trend. Particularly I will report on the workshop “NLP for Conversational AI” and the major discussions from this workshop. After BERT and XLNet, deep learning has pushed its frontiers in NLP into question-answering, text summarization, story writing, and dialogue system. The most exciting one is dialogue systems, or chatbot. As many NLP researchers move into chatbot domain, we are seeing a breakthrough in this domain happening in the near future. Presenter: Junling Hu Papers to read: 1. ACL 2019 Conference program, with video link to each talk http://www.acl2019.org/EN/program.xhtml 2. ACL Workshop NLP for Conversational AI, with slides of each talk https://sites.google.com/view/nlp4convai/program This is part of weekly reading series. We come together to discuss the cutting-edge AI topics and papers. One paper is selected each week as the major discussion topic. The meeting is a mixture of presentation and white boarding, with group discussion and participation. Bring your questions and get answered. Socialize with other like-minded people. If you cannot attend in person, you can attend remotely by registering here https://zoom.us/webinar/register/WN_UgO3bl5FTiah5sCYBbkziA 6:30-7pm Meet and greet 7-8pm Group discussion 8-8:30 Additional social

  • [Partner event] Big data and its impact on the planet

    This event is hosted by Analytics at Speed Palo Alto Meetup in partnership with IoT and Wearable Devices Meetup group. Talk content: Did you know scientists have predicted that unless radical improvements are made in the way we design computers, by 2040, computer chips will need more electricity than what our global energy production can deliver? Data is the new oil but using data to drive business outcomes is compute-intensive and unsustainable to the planet. Kx, the greenest and fastest database in the world, has a creative solution. Learn how we are enabling green analytics applications for our customers across the globe by processing data in real-time and in the most energy-efficient way. Our esteemed panel members will discuss the relevance of green analytics for next-generation data application. Agenda: 6:30 – 7:00 pm – Registration and Networking 7:00 – 7:10 pm. – Welcome and Introduction to Kx 7:10 – 7:45 pm – Panel Discussion on Green Analytics 7:45 – 8:15pm – Kx Solution Overview & Demo 8:15 – 9:00 pm – Light bites, and networking Panel Members: 1. Sri Satish Ambati, CEO H20.ai 2.Gayathri Gopalakrishnan, CEO, Ecoformatics 3. Michael Falcon, Investment Director, LG Technology Ventures 4. Christopher Conklin, Chief Engineering Officer, Carfit 5. Jimmy Moore, CEO, Untangle AI 6. Uday Ayyagari, Lead Architect, Crowdz In attendance: The Aston Martin Red Bull Racing static showcar We look forward to meeting all of you! You can also check out our partner's page: https://www.meetup.com/Silicon-Valley-IoT-and-Wearable-Devices/events/263174429/ Our esteemed panellist: Gayathri Gopalakrishnan is an award-winning data scientist and environmental engineer who has been pioneering the integration of clean technology and data science since 2003. She worked as an environmental scientist in academia and national laboratories, led Facebook's mapping and AI initiative in their sustainability team and as an engineer and data scientist in several Silicon Valley startups. Most recently, she is the founder and CEO of Ecoformatics, an education startup teaching data science skills to clean technology professionals. Michael Falcon has over twenty years of venture capital and operating experience, with an emphasis on Deep Tech and information technology industry sectors. Prior to LG Technology Ventures, Michael was a Managing Partner of Bandgap Ventures, which focuses on physical science technology investing in the areas of advanced materials, manufacturing, and electronics. Michael began his work in venture capital at Alara Capital (formerly Guggenheim Venture Partners), which was the venture capital group of Guggenheim Partners, a global financial services firm with more than $200 billion in assets under management.

  • [Partner event] Venture Capital Panel: Investment and Innovations in AI Startups

    The deadline to register and pay online is 2 pm the day of the event. Park in student lots 8, 9, 6, or 2. Parking is okay in these lots and free for this event. (Normal campus parking regulations won't be enforced.) Lot 8 is closest to the meeting space. Go to College Center - Building 10, Bay View Dining Room (2nd floor). Please review the campus map in advance so you can find the meeting space and parking seamlessly. http://collegeofsanmateo.edu/map/docs/CSMCampusMap.pdf PLEASE READ THE ENTIRE EVENT DESCRIPTION. There is a cover charge for this event. A "YES" RSVP on our meetup site does not confirm your reservation. Space is limited. Please only RSVP "Yes" if you will be attending. Take advantage of early responder pricing! Slots are limited. First come, first served! First Responders $12 plus Eventbrite fees Second Responders $15 plus Eventbrite fees Third Responders $17 plus Eventbrite fees Fourth Responders $20 plus Eventbrite fees In order to attend, you must register and pay here: https://www.eventbrite.com/e/venture-capital-panel-investment-and-latest-innovations-in-ai-startups-tickets-64640687035 Please bring your printed ticket to the event. Or, pay $25 (cash) at the door. A distinguished panel of venture capitalists will discuss investment AI startups and the latest innovations in AI -- and what to expect throughout 2019. (This is not a pitch event, so no startups will be pitching to the panel.) If you are an AI startup and would like space on a demo table for the networking portion of the event, please send an email message to: [masked] Put this in the subject header: T 7/23 Startup Demo Table Agenda: 6:00 pm to 7:00 pm Check In, Food, Networking Reception 7:00 pm to 8:30 pm Panel Discussion, Q & A 8:30 pm to 9:00 pm More Networking About the Panelists: Jennifer Vancini is a general partner with Mighty Capital. Jennifer has over 20 years of experience across a broad range of technologies, with extensive experience in the mobile and security industries. She has held management and executive roles in start-ups and innovation units of large organizations including Price Waterhouse, Nokia, the Symbian Foundation and Telefonica, and has served on several boards. Nuno Goncalves Pedro is a venture partner with Grishin Robotics, a Sand Hill Road venture capital firm focused on smart hardware investments. He is also the founder and managing partner of Strive Capital, a quantitative early stage venture capital fund focused on early-stage consumer mobile and deep software (artificial intelligence and blockchain). Homan Yuen is a Partner at Fusion Fund, an early-stage venture capital firm focused on being the first institutional capital into innovative companies bringing technologies to market. The firm has over 50 industrial, enterprise, and healthcare technology companies in the portfolio. Homan received his Ph.D. and M.S. in Electrical Engineering and Materials Science from Stanford University and his B.A. in Physics from UC Berkeley. Homan received his Ph.D. and M.S. in Electrical Engineering and Materials Science from Stanford University and his B.A. in Physics from UC Berkeley. George Arabian is a start up veteran and managing partner of Steelhead Ventures, a micro venture capital fund with seed stage investments in companies his brother and partner, Gary and him truly believe in. He works with founders, other venture partners, thought leaders and executive teams who are making a positive difference in their communities and the future of our world. Steelhead’s portfolio includes 30+ visionary founders. About the Moderator: Roger Royse is the founder of Royse Law Firm, PC, a business and tax law firm with offices in Northern and Southern California (www.rroyselaw.com (http://www.rroyselaw.com/)). Roger practices in the areas of corporate and securities law, domestic and international tax, mergers and acquisitions, and fund formation.