Artificial intelligence is changing every business.
Don't be left behind.

March 26-27, 2018
St. Regis Hotel
San Francisco, CA

About

AI impacts every industry, and every day we see human-computer interaction becoming increasingly natural and intuitive. But for many it’s difficult to discern facts from fiction.

EmTech Digital does just that–giving you the insight and intelligence you need to navigate this rapidly shifting landscape.

Which technologies are making significant progress? How does their commercialization affect your business? What do you need to know right now to stay ahead of the curve?

EmTech Digital is where the discerning lens of the world’s preeminent technology university meets Silicon Valley. Over the span of two days you’ll:

- Gain a working understanding of complex tech that’s driving business innovation.

- Learn to harness these technologies to build a competitive business advantage: increase revenue, ensure security, and make smart hires in a changing workforce.

- Get clear insights that help you cut through the noise around AI and chart your strategy.

- Meet the sharpest minds in the technology, management, startup, engineering, and academic communities–the people leading the next wave of intelligent technologies.

This Year's Themes

  • The latest in AI research

    What can we learn from advances in deep learning in recent years? What are limitations of the current technologies in use today?
  • Measuring intelligence in machines

    What are we teaching AI systems to do? What are the implications? How will security be addressed in intelligent systems?
  • Industry impact of AI

    Every global industry will experience disruption. From the enterprise to healthcare to transportation, we will examine the opportunities as the use of intelligent solutions expands around the world.
  • AI in Asia

    Lessons from China’s massive AI revolution.
  • Ethics in AI

    From addressing bias in society, online and off, to rethinking education, AI is at the heart of timely and far-reaching societal discussions.

Who Should Attend

EmTech Digital is for senior executives responsible for information, technology, security, strategy, and marketing–those charged with driving innovation and product development across industries and sectors within their business.

EmTech Digital is a must-attend for:
- C-Level Executives
- Heads of Innovation
- VC/Investors
- VPs of Strategy
- VPs of Product Planning
- R&D Specialists
- IT Decision Makers

Speakers

The innovators at the heart of the next wave of the digital revolution are here.

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  • Elizabeth
    Bramson-Boudreau

    CEO and Publisher, MIT Technology Review

    Elizabeth Bramson-Boudreau is the CEO and publisher of MIT Technology Review, the Massachusetts Institute of Technology’s media company. MIT Technology Review’s analysis, features, interviews, and events explain the impact of new technologies on business and society.

    Elizabeth is leading the growth, expansion, and modernization of MIT Technology Review’s media platforms and products, including U.S. and international websites, newsletters, events, and an award-winning print magazine. Elizabeth also serves as chair of the global entrepreneurial network MIT Enterprise Forum.

    Elizabeth has a 20-year background in building and running teams at world-leading media companies. She maintains a keen focus on new ways to commercialize media content to appeal to discerning, demanding consumers as well as B2B audiences.

    Prior to joining MIT Technology Review, Elizabeth was the global managing director of the Economist Corporate Network (whose parent company publishes The Economist magazine), where she led editorial content creation, sales, marketing, and event operations. She also spent a decade working as a consultant.

    Elizabeth holds an executive MBA from the London Business School, an MSc from the London School of Economics, and a bachelor’s degree from Swarthmore College.
  • Li
    Deng

    Chief AI Officer, Citadel

    AI in Finance

    Li Deng joined Citadel, one of the most successful investment firms in the world, as its chief AI officer in May 2017. Previously, he was chief scientist of AI and partner research manager at Microsoft; he has also been a professor at the University of Waterloo in Ontario and held teaching/research positions at MIT (Cambridge), ATR (Kyoto, Japan), and HKUST (Hong Kong). He is a fellow of the IEEE, the Acoustical Society of America, and the ISCA. He has also been an affiliate professor at University of Washington since 2000. In recognition of the pioneering work on disrupting speech recognition industry using large-scale deep learning, he received the 2015 IEEE SPS Technical Achievement Award for Outstanding Contributions to Automatic Speech Recognition and Deep Learning. He also received numerous best paper and patent awards for contributions to artificial intelligence, machine learning, information retrieval, multimedia signal processing, speech processing, and human language technology. Deng is an author or coauthor of six technical books on deep learning, speech processing, discriminative machine learning, and natural-language processing.
  • Nicole
    Eagan

    CEO, Darktrace

    Self-Defending Networks: AI and the Future of Cyber Defense

    As chief executive officer of Darktrace, Nicole Eagan has led the AI cyberdefense company to $300 million in total contract value with over 600 employees. Named one of Fast Company's Most Innovative People and Woman of the Year at the 2016 Cyber Security Awards, Nicole has been lauded for successfully introducing AI technology into the global cyberdefense market. Her extensive career as a technology executive includes over 25 years' experience in companies ranging from startups to Oracle. An expert in developing and executing strategies for high-growth businesses, Nicole helped Darktrace secure $75 million in Series D funding from Insight Venture Partners, KKR, and Summit Partners. Under her leadership, Darktrace has won over 80 awards, including landing in the top 10 of the Wall Street Journal's 2017 Tech Companies to Watch.
  • Oren
    Etzioni

    Chief Executive Officer, Allen Institute for Artificial Intelligence

    A New Framework: Three Rules for Governing AI

    Dr. Oren Etzioni is chief executive officer of the Allen Institute for Artificial Intelligence. He has been a professor at the University of Washington’s computer science department since 1991. He is also the founder or cofounder of several companies, including Farecast (sold to Microsoft in 2008) and Decide (sold to eBay in 2013), and the author of over 100 technical papers that have garnered over 23,000 citations. The goal of Oren’s research is to solve fundamental problems in AI, particularly the automatic learning of knowledge from text. Oren received his PhD from Carnegie Mellon University in 1991 and his BA from Harvard in 1986.
  • Timnit
    Gebru

    Postdoctoral Researcher, Microsoft Research

    Understanding the Limits of AI: When Algorithms Fail

    Timnit Gebru works in the Fairness, Accountability, Transparency, and Ethics (FATE) group at Microsoft Research. Before joining Microsoft, she was a PhD student in the Stanford Artificial Intelligence Laboratory, studying computer vision under Fei-Fei Li. Her main research interest is in data-mining large-scale, publicly available images to gain sociological insight, and working on computer-vision problems such as fine-grained image recognition, scalable annotation of images, and domain adaptation. The Economist, the New York Times, and others have recently covered part of this work. She is currently studying how to take data-set bias into account while designing machine-learning algorithms and examining the ethical considerations underlying any data-mining project. As a cofounder of the group Black in AI, she works to both increase diversity in the field and reduce the impact of racial bias in the data.
  • Zoubin
    Ghahramani

    Professor of Information Engineering, University of Cambridge; Chief Scientist, Uber

    Teaching Machines How To Learn

    Zoubin Ghahramani is a professor of information engineering at the University of Cambridge and chief scientist at Uber. He is also deputy director of the Leverhulme Centre for the Future of Intelligence and a fellow of St. John's College. He was a founding Cambridge director of the Alan Turing Institute, the U.K.’s national institute for data science. He has worked and studied at the University of Pennsylvania, MIT, the University of Toronto, the Gatsby Unit at University College London, and Carnegie Mellon University. His research focuses on probabilistic approaches to machine learning and artificial intelligence, and he has published over 250 research papers on these topics. He was cofounder of Geometric Intelligence (now Uber AI Labs) and advises a number of AI and machine-learning companies. In 2015, he was elected a fellow of the Royal Society for his contributions to machine learning.
  • Dario
    Gil

    Vice President, AI and IBM Q, IBM Research

    Future Focus: Quantum Computing in Next Generation AI Research

    Dr. Gil is a leading technologist and senior executive at IBM. As vice president of AI and IBM Q, he is responsible for IBM's artificial-intelligence research and for its commercial quantum computing program (IBM Q). Dr. Gil was previously the VP of Science and Solutions, directing a global organization of 1,500 researchers across 12 laboratories with a broad portfolio of activities spanning the physical sciences, the mathematical sciences, and industry solutions based on AI, IoT, blockchain, and quantum technologies. His research results have appeared in over 20 international journals and conferences, and he is the author of numerous patents. Dr. Gil is an elected member of the IBM Academy of Technology. He received his PhD in electrical engineering and computer science from MIT.
  • Martin
    Giles

    San Francisco Bureau Chief, MIT Technology Review

    Martin Giles is the San Francisco Bureau Chief of MIT Technology Review. Before assuming his current role, he was a partner at Wing Venture Capital, a Silicon Valley firm that invests in early stage business technology startups. Prior to Wing, Martin was The Economist Newspaper’s Silicon Valley Correspondent. Among his previous editorial roles at The Economist, he was the paper’s Banking Correspondent and Finance Editor. Martin is a Senior Industry Fellow at the University of California, Irvine’s Center For Digital Transformation and a member of the World Economic Forum’s Council On The Future Of Electronics. He is a graduate of Oxford University and holds an executive MBA from The University of Chicago’s Booth Graduate School of Business.
  • Ken
    Goldberg

    Professor, UC Berkeley

    Robots at Work: What Precision Grasping Will Mean for Industry

    Ken Goldberg is an artist, inventor, and UC Berkeley professor. He is chair of the Industrial Engineering and Operations Research Department, with secondary appointments in EECS, art practice, the School of Information, and radiation oncology at the UCSF Medical School. Ken is director of the CITRIS “People and Robots” Initiative and the UC Berkeley Autolab, where he and his students pursue research in geometric algorithms and machine learning for robotics and automation in surgery, manufacturing, and other applications. Despite agonizingly slow progress, he persists in trying to make robots less clumsy. He has over 250 peer-reviewed publications and eight U.S. patents. He cofounded and served as editor in chief of IEEE Transactions on Automation Science and Engineering. Ken’s artwork has appeared in 70 exhibits, including the Whitney Biennial, and films he has co-written have been selected for Sundance and nominated for an Emmy Award. Ken was awarded the NSF Presidential Faculty Fellowship by President Bill Clinton in 1995, elected an IEEE Fellow in 2005, and selected by the IEEE Robotics and Automation Society for the George Saridis Leadership Award in 2016.
  • Ian
    Goodfellow

    Staff Research Scientist, Google Brain

    Adversarial Machine Learning

    Ian Goodfellow, a staff research scientist at Google Brain, leads a research group studying adversarial techniques in AI. He invented generative adversarial networks and designed some of the first proposed defenses against adversarial examples. He is the lead author of the deep learning textbook (www.deeplearningbook.org).
  • Sean
    Gourley

    Founder and CEO, Primer

    Automating Business Intelligence

    Sean Gourley is founder and CEO of Primer, a machine intelligence company. Previously, he was CTO of Quid, an augmented-intelligence company he cofounded in 2009, and before that he worked on self-repairing nano-circuits at NASA Ames. He holds a PhD in physics from Oxford, where his research as a Rhodes Scholar focused on complex systems and the mathematical patterns underlying modern war. This research was published on the cover of Nature. He has served as a political advisor, briefed USCENTCOM at the Pentagon, and addressed the United Nations in Vienna. He is a two-time New Zealand track and field champion.

    Gourley sits on the Knight Commission, serves on the board of directors at Anadarko, and is a TED fellow.
  • Matt
    Grob

    Executive Vice President of Technology, Qualcomm Technologies

    Making On-device AI Ubiquitous, Presented by Qualcomm

    Matt Grob is executive vice president of technology for Qualcomm Technologies and a member of Qualcomm's executive committee. From 2011 to 2017, he also served as Qualcomm's chief technology officer.

    Grob joined Qualcomm in 1991 as an engineer. His contributions include system design, standardization, and project leadership for early CDMA data services; the Globalstar satellite-based mobile voice and data system; and 1x EV-DO high-speed wireless Internet access technology. His focus on cellular data services led to his assignment as co-project engineer for the HDR (high data rate) program starting in 1997. This new high-speed Internet access technology became standardized as 1x EV-DO and was commercialized worldwide. Innovations and techniques from these programs also helped UMTS's evolution to HSPA.

    Grob holds an MS in electrical engineering from Stanford University and a BS in electrical engineering from Bradley University. He is an IEEE member and holds more than 70 patents.
  • Martin
    Hitch

    Chief Business Officer, Bossa Nova

    Service Robots in the Retail Industry

    Martin Hitch is chief business officer of Bossa Nova Robotics, the leading developer of service robots for the global retail industry. He is responsible for Bossa Nova's global business partnerships, having previously led the company as CEO for more than eight years. As CEO, he established Bossa Nova as a technology innovator, developing the first cloud-connected robot for kids and securing global distribution partnerships. In 2012, Martin oversaw Bossa Nova's pivot from consumer products to service robots, establishing a new category of automation for the global retail industry. Martin first became fascinated by robotics at Ugobe. As VP of sales and business development, he led the worldwide launch of Pleo, a groundbreaking personal robot. Martin spent 10 years in executive roles at Mattel (UK), Hasbro, and MGA Entertainment, and won Ernst & Young's Entrepreneur of the Year award (Western PA, VA) in 2011.
  • Dina
    Katabi

    Professor, Electrical Engineering and Computer Science, MIT

    AI Gets Personal: Smart Homes, Intelligent Healthcare

    Dina Katabi is the Andrew & Erna Viterbi Professor of Electrical Engineering and Computer Science at MIT and the leader of the NETMIT research group at CSAIL. She is also a director of the MIT Center for Wireless Networks and Mobile Computing.

    Her research spans mobile systems, health IoT, and wireless networks. She develops new technologies, algorithms, and systems that enable smart homes, provide noninvasive health monitoring, improve Wi-Fi and cellular performance, and deliver new applications that are not feasible given today's technologies. She draws on advanced mathematical models to deliver practical solutions and combines novel sensing technologies with machine learning, optimization theory, and signal processing algorithms to solve real-world problems.
  • Will
    Knight

    Senior Editor for AI, MIT Technology Review

    Will Knight is a senior editor at MIT Technology Review, covering artificial intelligence, machine learning, robotics, self-driving cars, and human-machine collaboration. Will grew up in London, and was previously an editor at New Scientist magazine in the UK.
  • Brenden
    Lake

    Assistant Professor of Psychology and Data Science, NYU

    Understanding Intelligence

    Brenden M. Lake is an assistant professor of psychology and data science at New York University. He received his MS and BS in symbolic systems from Stanford University in 2009, and his PhD in cognitive science from MIT in 2014. He was a postdoctoral data science fellow at NYU from 2014 to 2017. Brenden is a recipient of the Robert J. Glushko Prize for Outstanding Doctoral Dissertation in Cognitive Science. His research has been covered by many news outlets (New York Times, Washington Post, MIT Technology Review, etc.) and was selected by Scientific American as one of the most important advances of 2016. Brenden's research focuses on computational problems that are easier for people than they are for machines, such as learning new concepts, creating new concepts, learning to learn, and asking questions.
  • Jia
    Li

    Head of R&D, Cloud AI, and ML, Google

    Democratizing AI: Applied AI in Global Industry

    Jia Li is Google’s head of R&D, cloud AI, and machine learning. Before joining Google, she was the head of research at Snap, leading research innovation, and led the visual computing and learning group at Yahoo Labs. Jia received her PhD in computer science from Stanford University. She is program chair of the ACM Multimedia Conference 2017, associate editor of The Visual Computer: International Journal of Computer Graphics, and an industrial advisory board member of the Computer Vision Foundation. In 2014, she was selected to receive the Super Star award at Yahoo, the highest award at the company. She was also awarded the Master Inventor Award for her innovations in computer vision, machine learning, artificial intelligence, mobile vision, e-commerce, product recommendation, and image search. She was the leader of the team that won first prize in the Semantic Robotics Vision Challenge sponsored by the NSF and AAAI in 2007. Her work has been widely reported in Ars Technica, ZDNet, GigaOm, Venture Beat, the Mirror, Business Insider, New Scientist, MIT Technology Review, and other media. She was listed as one of the “Secret Power Players Who Run Snapchat” by Business Insider in 2016.
  • Gideon
    Lichfield

    Editor in Chief, MIT Technology Review

    Gideon Lichfield has been the editor-in-chief of MIT Technology Review since December 2017. He spent 16 years at The Economist, first as a science and technology writer and then in postings to Mexico City, Moscow, Jerusalem, and New York City. In 2012 he left to become one of the founding editors of Quartz, a news outlet dedicated to covering the future of the global economy that is now widely recognized as one of the most innovative companies in digital media. Gideon has taught journalism at New York University and been a fellow at Data & Society, a research institute devoted to studying the social impacts of new technology. He grew up in the UK and studied physics and the philosophy of science.
  • Dahua
    Lin

    Assistant Professor, Chinese University of Hong Kong; Director, CUHK/SenseTime Joint Lab

    China's AI Awakening

    Dahua Lin is an assistant professor at the Department of Information Engineering at the Chinese University of Hong Kong. His research interest is in computer vision and machine learning. In recent years, he has primarily focused on deep learning and its applications in high-level visual understanding, probabilistic inference, and big-data analytics. He has published about 60 papers, and his seminal work on a new construction of Bayesian nonparametric models won the best student paper award at NIPS, the most prestigious conference on machine learning, in 2010. Before joining CUHK, he served as a research assistant professor at Toyota Technological Institute at Chicago from 2012 to 2014. He received the BEng degree from the University of Science and Technology of China in 2004, the MPhil degree from CUHK in 2006, and a PhD from Massachusetts Institute of Technology in 2012.
  • Terah
    Lyons

    Founding Executive Director, Partnership on AI

    Defining Ethical AI

    Terah Lyons is the founding executive director of the Partnership on AI, a multi-stakeholder nonprofit organization founded by Amazon, Apple, DeepMind, Facebook, Google, IMB, and Microsoft to advance the benefits and address the challenges of machine intelligence. She is a former policy advisor to the U.S. Chief Technology Officer in the White House Office of Science and Technology Policy (OSTP) and a Mozilla Foundation technology policy fellow. In her capacity at the White House, Terah led a policy portfolio in the Obama administration focused on machine intelligence, including AI, robotics, and intelligent transportation systems. She also advised the administration on issues related to diversity and inclusion in the technology industry and entrepreneurial ecosystem. Previously, Terah was a fellow with the Harvard School of Engineering and Applied Sciences based in Cape Town, South Africa. She is a graduate of Harvard University, where she currently sits on the alumni association’s board of directors.
  • Wei-Ying
    Ma

    Vice President and Head of AI Labs, Bytedance

    AI for Content Curation

    Wei-Ying Ma is a vice president of Bytedance, where he manages its artificial intelligence laboratory. He is leading his researchers to conduct fundamental research and develop new technologies in areas including machine learning, computer vision, natural-language processing, speech and audio processing, knowledge and data mining, and distributed system and network design. Previously, he was an assistant managing director at Microsoft Research Asia, where he oversaw several research groups and developed many key technologies that have been successfully transferred to Microsoft's Bing search engine, Azure, and other services. He is a fellow of the IEEE and a distinguished scientist of the ACM.
  • Gavin
    Miller

    Head of Adobe Research and VP of the Creative Intelligence Lab, Adobe

    Creative Collaboration with Intelligent Systems

    Dr. Gavin Miller leads Adobe Research, bringing computer graphics, computer vision, and big-data analytics techniques to life with groundbreaking research. During his 15+ years at Adobe, Dr. Miller founded one of the company's innovation labs, which spans the range of media intelligence to creative design. His research team publishes broadly on new mediums and contributes significantly to features in iconic Adobe desktop and mobile products, including Photoshop. Dr. Miller holds a degree from Cambridge University and a PhD in computer-aided manufacturing and computer graphics. He has over 30 years of engineering experience, which includes pioneering special-effects software for Alias Research and building interactive multimedia and 3-D animation for Apple. He has won numerous awards for his experimental animations and is well known for his creation of a series of experimental snake robots-one of which was the usher at his wedding.
  • Tess
    Posner

    Executive Director, AI4ALL

    Addressing Bias in AI

    Tess Posner is a social entrepreneur focused on increasing equity and inclusion in the tech economy. As executive director of AI4ALL, she is creating opportunity for underrepresented groups in the artificial-intelligence field through education programs and peer, mentor, and professional supports. Before joining AI4ALL, she was managing director of TechHire at Opportunity@Work, a national initiative launched out of the White House to increase diversity in the tech economy, where she oversaw the network of 72 cities, states, and rural areas and 1,300+ companies creating more inclusive education and hiring pathways. Earlier in her career, Tess built and ran Samaschool, a nonprofit that equips low-income people to find work in the digital economy through an online platform training 50,000+ students worldwide and a dozen diverse locations from New York City to rural Arkansas to East Africa. Tess’s work has been featured by Business Insider, TechCrunch, and Fast Company and funded by the Tipping Point Community, JPMorgan Chase, the California Endowment, and the Robin Hood Foundation. She holds a master’s degree from the Columbia University School in Social Enterprise Administration and a bachelor’s in liberal arts from St. John’s College.
  • Alberto
    Rizzoli

    Cofounder, Aipoly

    The Future of Autonomous Markets

    Alberto Rizzoli is an Italian entrepreneur and the cofounder of Aipoly, a San Francisco-based AI company focused on scalable, democratized automation. For his work in using AI to aid the visually impaired and other philanthropic initiatives, he received Italy's national Gentile Award for Science and Entrepreneurship in 2016, and an honorary award from the country's president, Sergio Mattarella, the same year. Today, Alberto's work is automating retail stores across the world and has assisted over half a million people with visual impairment, and Aipoly's vision AI has analyzed over two billion images. Aipoly won the CES Best of Innovation Award in 2017 and 2018.

    Alberto holds a degree in management science from Cass Business School and graduated from Singularity University's Global Solutions Program in 2015.
  • David
    Rotman

    Editor, MIT Technology Review

    David Rotman is the editor of MIT Technology Review. He supervises editorial for both the print magazine and the website. A science and business journalist, he has written extensively on chemistry, biotechnology, materials science, and environmental issues. He joined MIT Technology Review in January 1998 as a senior editor covering nanotechnology. Before joining MIT Technology Review, Rotman was managing senior editor at Chemical Week magazine in New York City, where he supervised coverage of technology, research, and environmental issues. He has a BS degree from the University of Massachusetts in Amherst.
  • Astro
    Teller

    Captain of Moonshots, Alphabet's X

    Moonshot Thinking in Machine Learning: Applied AI Takes Flight

    Dr. Astro Teller is currently Captain of Moonshots (CEO) of X, Alphabet’s factory for building magical, audacious ideas that through science and technology can be brought to reality. He is also a cofounder and a current director of Cerebellum Capital, a hedge fund management firm whose investments are continuously designed, executed, and improved by a software system based on techniques from statistical machine learning. He was cofounder and CEO of BodyMedia, a leading wearable body monitoring company that was sold to Jawbone in 2013.

    Dr. Teller holds a BS in computer science from Stanford University, an MS in symbolic and heuristic computation, also from Stanford University, and a PhD in artificial intelligence from Carnegie Mellon University, where he was a recipient of the prestigious Hertz fellowship.
  • Rachel
    Thomas

    Founder, Fast.ai; Assistant Professor, University of San Francisco

    Accessible AI: Expanding the Reach of Intelligent Solutions

    Rachel Thomas was one of Forbes's 20 Incredible Women in AI, earned her math PhD at Duke, and was an early engineer at Uber. She is cofounder of Fast.ai, which created the Practical Deep Learning for Coders course that over 100,000 students have taken. Rachel is a popular writer and keynote speaker. Her writing has been read by over half a million people and has been translated into Chinese, Spanish, Korean, and Portuguese.
  • Laura
    Tyson

    Director, Institute for Business & Social Impact, Berkeley Haas School of Business

    AI’s Economic Impact

    Laura Tyson is director of the Institute for Business and Social Impact at the Berkeley Haas School of Business. She served as dean of the London Business School from 2002 to 2006 and as dean of Haas from 1998 to 2001. She was a member of the U.S. Department of State Foreign Affairs Policy Board and a member of President Obama’s Council of Jobs and Competitiveness and the President’s Economic Recovery Advisory Board. In the Clinton administration, she served as chair of the Council of Economic Advisers and as director of the National Economic Council. She serves on the boards of Morgan Stanley, AT&T, CBRE Group, and Silver Spring Networks. She is an economic advisory board member of the World Bank’s International Finance Corporation.
  • Matt
    Wood

    Director, AWS Deep Learning, Amazon Web Services

    Cloud AI

    Dr. Matt Wood is part of the technical leadership team at Amazon Web Services, pulling from over a decade of expertise in distributed systems, architecture, Web-scale analytics, big data, machine learning, and high-performance computing to help customers bring their ideas to life through technology. After medical school, Dr. Wood completed his PhD in machine learning and bioinformatics, joined Cornell as a research fellow, and contributed to the next-generation DNA-sequencing platform at the Wellcome Trust Sanger Institute. Since joining Amazon Web Services in early 2010, he has played a role in introducing many significant new features and services to customers on the AWS Cloud, including AWS Lambda, Amazon Kinesis, and Amazon Machine Learning.
  • Hua
    Wu

    Technical Chief, Natural Language Processing, Baidu

    Technology Spotlight: Breaking Barriers with Machine Translation

    Hua Wu is the technical chief of Baidu’s natural-language processing department and the president of the Baidu Technical Committee. Her research fields include machine translation, natural-language processing (NLP), machine learning, dialogue systems, and the knowledge graph.

    Over her seven years at Baidu, she and her team have achieved multiple technology breakthroughs in NLP and machine translation, many of which have been successfully deployed in a range of Baidu products used by hundreds of millions of users. Hua Wu also cofounded the Baidu Translate project, which provides instant, free multilingual text translation, and built the core technology for Baidu’s personal assistant.

    Before joining Baidu, she was with Microsoft Research Asia and Toshiba Research Center, where she worked on NLP and machine translation. She holds a PhD from the Chinese Academy of Sciences in NLP and machine translation.

St. Regis San Francisco

125 Third Street
San Francisco, CA 94103

Registration check-in: 2nd floor
General sessions: 2nd floor

A limited number of discounted hotel rooms have been made available. Make your reservation early, as rooms will likely sell out.

EmTech Digital 2018 Schedule

It’s not another lecture … it’s an invitation to join the conversation.

Monday, March 26, 2018

  • 8:00
    Registration & Breakfast
  • 9:00
    Opening Remarks

    A welcome from MIT Technology Review’s editor in chief, our EmTech Digital emcee.

    Gideon Lichfield Editor in Chief, MIT Technology Review
  • 9:15
    The State of AI

    What can we learn from recent advances in deep learning? What are limitations of the current technologies in use today?

    Oren Etzioni Chief Executive Officer, Allen Institute for Artificial Intelligence
    A New Framework: Three Rules for Governing AI
    Brenden Lake Assistant Professor of Psychology and Data Science, NYU
    Understanding Intelligence
    Timnit Gebru Postdoctoral Researcher, Microsoft Research
    Understanding the Limits of AI: When Algorithms Fail
  • 10:30
    Break & Networking
  • 11:00
    The State of AI: What about the robots?

    How is the state of the art in robotics technology poised to deliver more useful robots for the workplace?

    Ken Goldberg Professor, UC Berkeley
    Robots at Work: What Precision Grasping Will Mean for Industry
  • 11:30
    Technology Spotlight: Natural Language Processing

    The nuances of human language are particularly difficult for machines to learn. Baidu’s latest research makes great strides in enabling real-time translation to facilitate international dialogue.

    Hua Wu Technical Chief, Natural Language Processing, Baidu
    Technology Spotlight: Breaking Barriers with Machine Translation
  • 11:55
    Technology Spotlight: Service Robots
    Martin Hitch Chief Business Officer, Bossa Nova
    Service Robots in the Retail Industry
  • 12:10
    Technology Spotlight: AI in Retail

    As we explore the future of AI in retail, EmTech Digital attendees will experience shopping in a store without cashiers.

    Alberto Rizzoli Cofounder, Aipoly
    The Future of Autonomous Markets
  • 12:30
    Lunch & Networking

    Special Session
    Making On-device AI Ubiquitous

    A fireside chat between Matt Grob and Elizabeth Bramson-Boudreau exploring the impact of intelligence moving to edge devices. Find out how on-device AI processing coupled with 5G and cloud computing will offer enhanced and unprecedented experiences across virtually every product and industry.

    Matt Grob Executive Vice President of Technology, Qualcomm Technologies
    Making On-device AI Ubiquitous, Presented by Qualcomm
    Elizabeth Bramson-Boudreau CEO and Publisher, MIT Technology Review
  • 2:00
    AI in Asia

    China’s artificial-intelligence revolution holds important lessons for companies around the world.

    Dahua Lin Assistant Professor, Chinese University of Hong Kong; Director, CUHK/SenseTime Joint Lab
    China's AI Awakening
    Wei-Ying Ma Vice President and Head of AI Labs, Bytedance
    AI for Content Curation
  • 3:30
    Break & Networking
  • 4:00
    A Look Ahead:The Next Generation of AI

    What technologies will address current limitations in machine learning and fuel a new wave of innovation in artificial intelligence?

    Dario Gil Vice President, AI and IBM Q, IBM Research
    Future Focus: Quantum Computing in Next Generation AI Research
    Ian Goodfellow Staff Research Scientist, Google Brain
    Adversarial Machine Learning
  • 5:00
    Technology Spotlight: Creativity and AI

    Creative expression is evolving with AI technologies.

    Gavin Miller Head of Adobe Research and VP of the Creative Intelligence Lab, Adobe
    Creative Collaboration with Intelligent Systems
  • 5:30
    EmTech Digital Reception

    Hosted by Qualcomm

Tuesday, March 27, 2018

  • 8:00
    Registration & Breakfast
  • 9:00
    Opening Remarks

    Day Two opens with a preview of the day from MIT Technology Review’s editor in chief, our EmTech emcee.

    Gideon Lichfield Editor in Chief, MIT Technology Review
  • 9:10
    Working with Intelligent Systems

    The potential for collaboration between humans and machines is being reimagined in the age of AI. Work will never be the same.

    Astro Teller Captain of Moonshots, Alphabet's X
    Moonshot Thinking in Machine Learning: Applied AI Takes Flight
    Zoubin Ghahramani Professor of Information Engineering, University of Cambridge; Chief Scientist, Uber
    Teaching Machines How To Learn
  • 10:00
    Technology Spotlight: Intelligent Systems at Home

    Ongoing research promises a new generation of intelligent systems that will change our expectations for engaging with connected environments.

    Dina Katabi Professor, Electrical Engineering and Computer Science, MIT
    AI Gets Personal: Smart Homes, Intelligent Healthcare
  • 10:30
    Break & Networking
  • 11:00
    Cloud AI

    AI research is increasingly accessible to companies in a diverse range of industries. How are real world problems being addressed by today’s leading techniques?

    Jia Li Head of R&D, Cloud AI, and ML, Google
    Democratizing AI: Applied AI in Global Industry
  • 11:30
    Technology Spotlight: Security in the Age of AI

    How will security be addressed in intelligent systems?

    Nicole Eagan CEO, Darktrace
    Self-Defending Networks: AI and the Future of Cyber Defense
  • 12:00
    Lunch & Networking
  • 1:30
    AI in the Enterprise

    As the use of intelligent solutions expands around the world, every global industry will experience disruption. What can we learn from the companies large and small that are deploying AI today?

    Sean Gourley Founder and CEO, Primer
    Automating Business Intelligence
    Matt Wood Director, AWS Deep Learning, Amazon Web Services
    Cloud AI
    Li Deng Chief AI Officer, Citadel
    AI in Finance
  • 2:40
    Technology Spotlight: Accessing AI

    One of the most important trends of the year is how widely available powerful AI-driven tools have become to companies of all sizes. How can your workforce jump in?

    Rachel Thomas Founder, Fast.ai; Assistant Professor, University of San Francisco
    Accessible AI: Expanding the Reach of Intelligent Solutions
  • 3:00
    Break & Networking
  • 3:30
    The Next Wave:Broadening Access to AI

    The field of AI is at a critical juncture. How can technologists, business leaders, educators, and regulators act now to root out bias in intelligent systems?

    Terah Lyons Founding Executive Director, Partnership on AI
    Defining Ethical AI
    Tess Posner Executive Director, AI4ALL
    Addressing Bias in AI
  • 4:30
    A Look Ahead: Rethinking Jobs in the Age of AI
    Laura Tyson Director, Institute for Business & Social Impact, Berkeley Haas School of Business
    AI’s Economic Impact
  • 5:00
    Closing Toast

Speaker Nominations

We’re gathering the experts who’ll give you the inside track on the technologies and businesses that are disrupting industries, creating entirely new markets, and changing society.

News + Views

Mobile

I thought VR would make watching Olympic snowboarding awesome.
Sadly, it sucked.

Virtual-reality programming for the Winter Olympics shows there’s still a long way to go before the tech is ready for prime time.

Computing

“We’re in a diversity crisis”: cofounder of Black in AI on what’s poisoning algorithms in our lives

Timnit Gebru looks around the AI world and sees almost no one who looks like her. That’s a problem for all of us.

Business

Kindred AI is using human pilots to do what robots can’t

Meet the man controlling warehouse bots from thousands of miles away.

Computing

Drones that dodge obstacles without guidance can pursue you like paparazzi

A skilled autopilot function will make drones far more ubiquitous and useful.

What’s EmTech Digital All About?

Watch video from last year's conference to meet the leaders, understand the tech, and gain a business advantage.

Venue + Travel

March 26-27, 2018
St. Regis Hotel
San Francisco

St. Regis Hotel

The 5-star St. Regis San Francisco hotel embodies extraordinary hospitality with modern-day sophistication. This luxury hotel features 306 guest rooms and suites, all equipped with rainforest showers, minibars, and several flat-screen TVs (including one in the bathroom). You’ll find yourself in the heart of one of the city's most vibrant neighborhoods with the most exciting galleries, San Francisco attractions, events, restaurants, and shopping. The San Francisco Museum of Modern Art, the new Jewish Contemporary Museum, the financial district, and Union Square's select stores are all minutes away. A brief stroll takes you to the hill-climbing delights of the city's legendary cable cars, and the Golden Gate Bridge leads you to the bucolic charms of wine country.

Hotel information

St. Regis

Discounted Conference Rate:
$425/night +tax
See more details

125 Third Street
San Francisco, CA 94103

Online reservations +

You may also reserve a room by calling St. Regis Central Reservations at 1-866-225-0397. Be sure to mention MIT Technology Review EmTech Digital to receive the discounted rate. 

The group rate is available until March 3, 2018.

Directions

The St. Regis San Francisco enjoys an artful address, just steps from the top things to do in San Francisco. The Museum of the African Diaspora, featuring the rich history of African art and culture, is conveniently located within the hotel. In addition, the renowned San Francisco Museum of Modern Art showcases noteworthy talent directly next door, and the vibrant new Jewish Contemporary Museum stands less than one block from the hotel. The financial district and Union Square's select stores are minutes away, offering a plethora of things to do in San Francisco. A brief stroll takes you to the hill-climbing delights of the city's legendary cable cars, and the Golden Gate Bridge leads you to the bucolic charms of wine country.

Driving from the North Bay

Sausalito, Tiburon, Muir Woods, Sonoma

• Take Highway 101 South over the Golden Gate Bridge.
• Follow signs towards Downtown San Francisco/Lombard Street.
• Continue on Lombard Street approximately 1.5 miles.
• Turn right onto Van Ness Avenue.
• Continue on Van Ness Avenue for 14 blocks, then turn left onto Bush Street.
• Continue on Bush Street for 12 blocks.
• Then turn right onto Montgomery Street.
• Continue on Montgomery Street and cross Market Street.
• Continue 2 more blocks to Howard Street. Turn right onto Howard Street.
• Proceed 1 block to Third Street and turn right.
• The St. Regis Hotel is located on the right side, 0.5 blocks after Howard Street. Immediately after the Museum of Modern Art, turn right onto Minna Street.

Driving from the South Bay

San Francisco International Airport, Santa Clara, San Jose, Monterey, Carmel

• Take Highway 101 North into San Francisco.
• Follow signs towards Bay Bridge onto Interstate 80 East.
• Take the last San Francisco Exit, which is Fourth Street.
• Continue through the light and turn left onto Third Street.
• Proceed along Third Street and continue for 3.5 blocks.
• The St. Regis Hotel is located on the right side, 0.5 blocks after Howard Street. Immediately after the Museum of Modern Art, turn right onto Minna Street.

Driving from Highway 280

• Take Interstate 280 North into San Francisco.
• Stay on the freeway until it ends onto King Street.
• Proceed several blocks to Third Street.
• Turn left onto Third Street
• Continue along Third Street for 6.5 blocks.
• The St. Regis Hotel is located on the right side, 0.5 blocks after Howard Street. Immediately after the Museum of Modern Art, turn right onto Minna Street.

Driving from East Bay

Oakland, Berkeley, Emeryville, Sacramento

• Take Interstate 80 West over the Bay Bridge into San Francisco.
• Take the first right exit, which is Fremont Street.
• Turn left onto Fremont Street. Proceed 0.5 blocks to Howard Street and turn left.
• Continue on Howard Street for 4 long blocks, and turn right onto Third Street.
• The St. Regis Hotel is located on the right side, 0.5 blocks after Howard Street. Immediately after the Museum of Modern Art, turn right onto Minna Street.

Driving from Oakland Airport

• Follow the signs for Interstate 880 North, towards downtown Oakland.
• Follow the signs towards San Francisco, Interstate 80 West.
• Proceed on I-80 West over the Bay Bridge, and follow the "Driving from East Bay" directions.

A Tradition in Technology

For more than 115 years, MIT Technology Review has been identifying important new technologies and deciphering their practical impact.

We've brought that mission and our journalism to life through EmTech since 1999, gathering the sharpest minds in the technology, engineering, academic, startup, and management communities to provide insight into the innovations that shape the world and your business.

We host EmTech events in the US, Asia, China, Dominican Republic, France, Hong Kong, India, and Mexico.

Partners

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Other Partners

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    Transformation happens here.

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    C3 IoT is the leading software platform provider for digital transformation. C3 IoT delivers a comprehensive and proven PaaS for rapidly developing and operating AI, predictive analytics, and IoT applications at enterprise scale. At the C3 IoT Platform’s core is the revolutionary C3 Type System—an extensible, model-driven architecture..

    Learn more at C3IoT.com.

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    MIT Professional Education provides a gateway to MIT expertise and knowledge for science and engineering professionals around the world. Through MIT Professional Education programs taught by renowned faculty from across the Institute, technical professionals have the opportunity to gain crucial and timely knowledge in specialized fields, to advance their careers, boost their organization’s performance, and help make a difference in the world.

    Visit http://professional.mit.edu/ for more information.

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    Make your story impossible to ignore with BIGfish PR. Storytellers for top technology brands and innovators. Product launches, review campaigns, national coverage and more at BIGfishPR.com.

Interested in partnering with us?

Contact Laurie Hironaka, Vice President of Sales, at 415-640-5141 or via e-mail.

2017 Featured Speaker

Peter Lee
Corporate Vice President, Microsoft Research


Lab to Market: Machine Learning in Practice

Register now

Reserve your seat.

Registration includes two full conference days and two evening receptions on Monday & Tuesday, March 26-27. Paying attendees are also offered a complimentary one-year Insider Basic subscription, provided by Qualcomm.

Your registration includes The Algorithm email newsletter with insight on the latest innovations in artificial intelligence delivered daily to your inbox.

We are pleased to offer discounts to MIT alumni and other members of the MIT community, non-profit organizations, select affiliate groups, and parties of three or more. Email to inquire about your eligibility: eventsreg@technologyreview.com.

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    To request a media pass for an MIT Technology Review conference, please fill out the media registration form.

    Media passes are limited, and are granted only to working journalists who intend to cover the event (see media and analyst required credentials on the form). The information you submit will be reviewed carefully, so please be as detailed as possible when filling out the form. Media credential approval for a prior MIT Technology Review conference does not guarantee approval for this event.

    Email press@technologyreview.com with any questions.

  • Cancellation Policy

    If you cancel your registration for EmTech Digital for any reason, you must notify us in writing before February 26, 2018, for a refund less a $295 processing fee. Cancellations on and after February 26 are nonrefundable. You may transfer your registration to another person at any time by providing authorization to us in writing. All cancellations and transfer requests should be sent to: eventsreg@technologyreview.com.

  • Attendee Code of Conduct

    The mission of MIT Technology Review is to inform our audience about important new technologies. We have curated a series of discussions that includes a wide range of views on the most significant technologies and trends of the year. We value diversity of ideas and perspectives from our speakers and our audience. We are proud to bring varying points of view to our stage, and are committed to providing a respectful environment for our speakers and audience. By joining us at an event, you agree to maintain a respectful environment during all parts of the program.

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