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ADVANCEMENTS IN DEEP LEARNING AND SPEECH RECOGNITION
Rachael Tatman - University of Washington
Leveraging insights from human speech perception for speaker dialect adaption
Adjusting to a talker's dialect is easy for humans, but accent adaptation continues to limit automatic speech recognition. One key difference is that humans make use of more than just the acoustic signal; social cues as subtle as a sweatshirt or stuffed animal can drastically impact how we hear speech sounds. I will present a behavioral model showing that including social information about the speaker can result in much more human-like classification. This is of particular interest for virtual assistants designed for single speakers, which could improve out-of-the-box performance by leveraging demographic information.
Rachael is a PhD Candidate and National Science Foundation Graduate Research Fellow in the Department of Linguistics at the University of Washington. She investigate the sublexical units of language across modalities using experimental, statistical and computational methods. Her training and research has mainly been in the area of phonetics, phonology, sociolinguistics and sign linguistics.
Anjuli Kannan - Google
Smart Reply: Learning a Model of Conversation from Data
Smart Reply is a text assistance feature in Inbox by Gmail. Given an incoming email message, the Smart Reply system analyzes its contents and suggests responses that the recipient can select with just one tap. This talk will cover how we built Smart Reply using state-of-the-art deep learning, as well as what we learned along the way and why we think it shows promise for the future of virtual assistants.
Anjuli Kannan is a senior software engineer at Google. She is a member of the Brain Team, which works to advance the field of machine intelligence through a combination of basic research, software (TensorFlow), and applications that improve people's lives. Anjuli is especially interested applications of machine learning to problems in natural language understanding. Recently she was a core member of the team that brought the Smart Reply feature to Inbox by Gmail. Launched in 2015, Smart Reply was the first Google-scale application to effectively apply recurrent neural networks in language understanding, as well as the first to leverage Google's open-source TensorFlow.
(Elena) Corina Grigore - Yale University, Social Robotics Lab
Can you lend me a hand? Helpers of the Future
As technology continues to proliferate through our lives and plays an ever increasing role, and as machine intelligence increases in sophistication, the fundamental question shifts from “How do we design better algorithms?” to “How can we design and create technology that interacts with us in an adaptive manner and complements human life on a day-to-day basis?” My research explores one particular aspect, designing robots that utilize machine intelligence in order to assist humans. In this talk, I will focus on how we can leverage machine learning techniques to gain an understanding of the task a person is performing based on data acquired from observing users naturally perform this task. Such an understanding is crucial not only for a robot helper, but for any intelligent agent we envision assisting us in the future.
Corina is a Ph.D. Candidate in the Social Robotics Lab at Yale University. She became interested in robotics during her undergraduate studies in computer science, and performed research at the Bristol Robotics Laboratory, UK, throughout her bachelor’s and master’s degrees. At Yale, her research focus is on developing adaptive robots, capable of interacting with humans and offering supportive behaviors in collaborative settings. In order to achieve the wide array of functionality desired for robots in such dynamic settings, her projects investigate how to leverage machine learning techniques that make it possible for the robot to learn both from the people it interacts with and its environment.
Stephen Scarr - Info.com & eContext
Importance of Accurately Labeled Data for Topical Machine Learning
Accurate data plays a critical role producing useful machine learning models. Most available training sets create models outputting either generic topic classifications or unstructured flat entities. Attempts at granular, hierarchical outputs are sub-optimal, even when trained on corpuses in a single vertical, because of the significant ambiguity of natural language. Automatically labeling training data with hundreds of thousands of hierarchical topics produces flexible, structured classifiers in any vertical. In this session, we’ll address: • The role taxonomy plays in machine learning • Benchmarking opportunities for better machine learning results • Improving the machine learning model with labeled topic data
As CEO of Info.com and eContext, Stephen is responsible for all aspects of development at both companies and has more than 20 years of experience in managing businesses. Stephen has a strong marketing background and a passion for big data and analytics.
Info.com is an independent search platform with 8 million unique users. From a single search query, Info.com provides results from the leading search engines. Info.com is also partnered with eight vertical search providers. Info.com owns Info.co.uk and Info.com.au and has Chicago and London offices.
BUILDING VIRTUAL ASSISTANTS
Justin Woo - Jibo
The making of Jibo, the first social robot for the home
Jibo is a robot that understands speech, has a moving body that helps him communicate more effectively, and express emotions. Jibo has cameras and microphones to make sense of the world around him, including detecting where sounds come from and recognizing and tracking people. He has a display to show images, an eye that can morph into shapes at will, and a touch interface as a complementary input modality. Jibo encompasses the ultimate human-machine interface, with the potential of becoming a new interaction paradigm. In this talk I will take the audience through a journey in making such a complex devices and the challenged faced by the sheer complexity of integrating a large number of technologies in a character robot device for the home.
Phillip Bückendorf - Hiro
Predictive Commerce Technologies and Shopping Assistants
In an era when we’re creating self-driving cars, experiencing augmented reality, and pioneering to Mars, parenting - a job most adults will take on at some point in their lives - has become even harder than ever before. Introducing a new evolution to make parenting easier, Hiro is a personal assistant for new parents powered by human-assisted AI. Hiro uses a Long Short Term Memory (LSTM) to predict answers their human agents can send out to users. Unoccupied agents train the recurring neural network through simulated scenarios in domains it is lacking knowledge.
Phillip is the CEO and Co-Founder of Hiro, a Menlo Park based startup. Before Hiro, Phillip and the team worked on Downtown, an iBeacon-based order and payment solution for restaurants that was named top retail innovation by Forbes in 2014. Phillip holds a BA in International Relations from European University in Barcelona.
Arte Merritt - Dashbot.io
Got Data? Build a Better Bot with Analytics
Arte Merritt of Dashbot.io will talk about the role of analytics in chat bots - how they differ from traditional web and mobile analytics; how to use analytics to increase engagement, acquisition, and monetization; as well as insights and learnings from the data Dashbot.io is capturing.
Arte Merritt is the co-founder and CEO of Dashbot.io - a bot analytics platform. Previously, he founded the mobile analytics platform, Motally, which he led to a successful exit via sale to Nokia. Arte has 16 years experience in the mobile space and nearly 20 in the analytics space, working with companies like Yahoo Mobile, Turner Broadcasting, and a wide variety of startups. In addition, he helped launch two accelerator programs, Turner’s Media Camp and Mobile Monday’s Momentum, and is a mentor in Orange Fab. Arte is an MIT alum.
Amir Shevat - Slack
Designing a great virtual assistant has a lot to do with scripting the conversation. There are a lot of design best practices around building delightful and engaging experience for your virtual assistant. Amir Shevat, Director of Developer relations in Slack, will share example and best practices gathered this year on all the major platforms.
Amir Shevat is the head of developer relations at Slack. Previously Amir was the global Startup Outreach lead in Google Play and led scalable programs in Developer Relations and Google Campus. Amir has also founded several startups. He is a developer at heart and the author of the "Designing Bots" O'Reilly book.
PERSONALISATION AND CHARACTERISATION OF VIRTUAL ASSISTANTS
Alonso Martinez - Pixar Animation Studios
Alonso Martinez works at Pixar Animation Studios as a Technical Director in the Character Department and has created digital characters for academy award winning movies such as "Up" and "Inside Out". He has also worked on movies like "Cars2", "The Good Dinosaur", "Coco" and is working on the upcoming movie "Incredibles 2". Outside of Pixar, Alonso continues his passion for creating lovable characters through robotics, and is working on developing the building blocks by which robots could feel emotions and empathy. As a robot's understanding of the world and people's emotions get richer, so will their ability to interact with people in a more meaningful way.
Jordi Torras - Inbenta
Why is AI back in the spotlight?
A combination of new algorithms and advances in neural computing and deep learning has led to an explosion in AI applications with unprecedented attention from the public and media. Learn how it all happened and what you can expect next from this evolving cognitive landscape.
Jordi Torras is the CEO and Founder of Inbenta, a company that specializes in Natural Language Processing, semantic search and chatbots to improve the customer experience. Jordi started his entrepreneurial career in 1997 with his brother. Together they founded SBD in Barcelona, a professional services firm who had over 200 consultants by 2004 and was acquired by the French firm Alten Technologies. Jordi then founded Inbenta in 2005 to help companies improve online relationships with their customers. Today, Inbenta's patented technology helps to greatly reduce incoming customer service emails and calls to call centers for industry-leading companies including Ticketmaster, CA Technologies and Groupon.
Oren Jacob - PullString
Personalization of Virtual Characters and Assistants
As an increasing number of bots come to market, we’re challenged to personify virtual characters and assistants to create experiences that audiences want to continually engage with. But true character cannot be algorithmically derived. As the platform behind bots for Activision’s Call of Duty, Marvel’s Doctor Strange, and Amazon’s The Grand Tour that have dominated Messenger, Skype and Alexa respectively, Pullstring has demonstrated that we need expressive, professional tools to make convincing computer conversation. Oren Jacob, CEO and co-founder, PullString, will discuss how to approach the complexity of crafting computer conversation and the importance of having tools that are accessible enough for creative teams, but extensible enough for technical teams to bring the best conversational AI experiences to market.
Oren is CEO and co-founder of PullString. Prior, he was an Entrepreneur in Residence at August Capital and spent 20+ years at Pixar, most recently as CTO and Director of the Studio Tools group. His feature film credits include Toy Story, Toy Story 2, A Bug's Life, and Supervising Technical Director for Finding Nemo. Oren helped found Pixar University, taught animation at the Academy of Art College and teaches courses at Stanford, Berkeley, Columbia, and for the NSF. He plans to drop all of this in a heartbeat to become a pro snowboarder the minute that first sponsor shows up.
Ulysses Bernardet - Simon Fraser University
Social, Affective Virtual Characters: Augmenting Rapport and Customizability through Personality
'Personality' is a characteristic, stable pattern of thought, affect, and behavior that a person shows when interacting in the physical and social world. In our work we design, build, and evaluate autonomous, humanoid 3D characters that are capable of multi-modal interaction with humans. One of the key features is that the characters have a consistent personality that influences their perception, emotions, and behavior. This consistency is an important factor in making the agents more engaging, relatable, and recognizable. In a counseling context, virtual assistants with distinguishable personalities can adapt to the personality of the human they are interacting with, while in a social skill training application they can serve as diverse social counterparts.
Ulysses Bernardet is currently a postdoctoral researcher at the Simon Fraser University in Vancouver, Canada. He holds a doctorate in psychology from the University of Zurich and has a background in psychology, computer science, and neurobiology. Ulysses’ research follows an interdisciplinary approach that brings together psychological and neurobiological models of emotion, motivation, and behavior regulation with mixed and virtual reality. He is the main author of the large-scale neural systems simulator iqr, and has conceptualized and built the mixed-reality space “eXperience Induction Machine”, as well as over 10 large-scale, complex real-time interactive systems. At the core of his research is the development of models of personality and nonverbal communication that drive the behavior of virtual humans. Ulysses likes to refer to this approach of “understanding humans by building them” as Synthetic Psychology.
FUTURE OF VIRTUAL ASSISTANTS
Dennis Mortensen - x.ai
Building an AI Scheduling Assistant in the age of Click and Tap
In this talk Dennis Mortensen, Founder/CEO of x.ai, will share the company’s journey building one of the first vertical AI assistants in market. He’ll touch on how the team attacked the scheduling problem initially and what they learned once x.ai had a product in market. Finally, he’ll share some key use cases and how these have continued to shape x.ai’s roadmap.
Dennis is the CEO and Founder of x.ai, whose artificial intelligence driven personal assistant lets people schedule meetings using plain English and nothing more than a CC to firstname.lastname@example.org. He’s a pioneer and expert in the analytics, optimization and big data space and has been since its inception – he is also a fully-fledged entrepreneur and successfully delivered a number of company exits. He’s an accredited Associate Analytics Instructor at the University of British Columbia, the Author of Data Driven Insights from Wiley and a frequent speaker on the subject of Analytics and Data. A native of Denmark, Mortensen currently calls New York City his home.
Rick Collins - Next IT
The Human Future of Machine Intelligence
To be intelligent, virtual assistants need human input at various junctures of the learning process even as machine learning increasingly automates interactions and generates insights. In this presentation Rick Collins, President of Next IT Enterprise, argues that the future of intelligent virtual assistants (IVAs) is human and machine coordination, not just automation. To build and train IVAs, we must look beyond simply automating tasks and begin asking how we can infuse the best of our institutional knowledge and business values into a machine intelligence that functions as a true extension of our workforce.
As President of Enterprise at Next IT, Rick Collins leads teams responsible for sales, solutions, and account relationships with enterprise customers and partners. Rick was previously Director of Business Development at Microsoft, serving in a number of customer and partner-facing roles with global responsibility and a focus on driving software and service initiatives through partner channels to consumers and business. Rick’s broad career experience includes management roles in e-Learning software, corporate marketing communications and publishing, and broadcast communications. He is a prolific writer and speaker on a broad range of topics within AI, especially AI’s role in transforming the enterprise.
Milie Taing - Lili.ai
Artificial Intelligence must become non-magical to respect human dignity
How can magic and trust co-exist? Virtual Assistant brings credible promises for a smarter and more efficient work environment; with the condition that it gets trusted and used. In this session we will talk about the technical and human challenges building a Virtual Assistant to better coordinate work between collaborators in a corporate environment. After quickly putting in perspective human dignity and artificial intelligence, we will discuss about the user-acceptance challenge in the context of critical decision making. And we will conclude by reviewing some of the technics used to link context.
Milie is a French entrepreneur who founded Lili.ai when she figured out that project management tools needed to become more intelligent to better structure the project team. Any outstanding Project Manager combines great communication, organizational and prediction skills. This is the perfect scenario for an Artificial Intelligence to jump in and bring its organizational skills, its ability to customize communication and to optimize a massive database; if accepted by users. Her goal with Lili.ai is to reduce human frictions related to project management by leveraging artificial intelligence techniques for portfolio schedule optimization, data driven decision and smart reporting. Lili.ai is in beta-testing mode at major corporations.
CONVERSATION & DRINKS
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Swapnil Shinde - Mezi
Simplifying and personalizing travel with AI and Chatbots
Insights into how Mezi's human assisted Ai bot platform uses AI, NLU and Machine learning to simplify and personalize travel for thousands of customers.
Swapnil is the CEO and Co-Founder of Mezi, a company that is using Human Assisted Artificial Intelligence to simplify shopping for consumers. Mezi is your Personal Shopping Assistant who helps you buy exactly what you want, effortlessly. At Mezi we’re building a personal shopping assistance platform which connects buyers with personal assistance through a very familiar messaging interface. Mezi runs on Smart Connect and Smart Assist, a powerful proprietary technology platform, built using artificial intelligence and machine learning to streamline expert workflows, detect intent, reduce response times and provide personalized product recommendations. Our mission is to create a global technology platform to empower service economy and democratize personal shopping assistance.
Swapnil is a Product Entrepreneur and of Mezi. Before Mezi, Swapnil was the Co-Founder and Chief Product Officer of Dhingana. When Dhingana was acquired by Rdio, Swapnil joined the executive team at Rdio as Vice President of Product for international markets. He has over 15 years of experience in the industry and has worked at several technology companies, including Yahoo, Symantec and IBM Software Labs.
Swapnil holds a master’s in computer science from the University of Southern California.
Danny Freed - Joy
Bots have feelings too -- How I'm building an emotionally aware bot
We track our steps, heartbeat, calorie intake and so many more physical attributes with the help of technology every day. Why do we not also track our mental health? Joy, a facebook messenger bot, helps you do just that. Joy will check in with you daily to find out how you're feeling or what you did that day. Based on your responses, Joy has the ability to estimate your overall mood and report changes or consistency in your mood over time. If Joy detects traces of anxiety, depression or general sadness, the user will be prompted to view tips on how to improve their current mental state. Joy will continuously learn about your personal mood patterns and which activities affect your mental health in order to help keep you feeling like the best version of yourself. By normalizing the importance of mental health, Joy will help to abolish the stigma against mental illness and promote positive responses for individuals taking responsibility for their own mental health awareness.
Danny is the founder & CEO of Joy. He graduated from the University of Michigan's Ross School of Business (2015) with a focus on entrepreneurship, computer science and design. While at U of M, Danny co-founded Companion, a personal safety app that allows individuals to virtually walk home with friends and predict where local police will be most useful. Companion has appeared on The Today Show, CNN, Business Insider, ABC News and many more national media outlets, helping to acquire over 1 million users. Danny is currently working on product development and design for Trunk Club during his days but spends nights and weekends building and growing Joy. With a passion for both technology and mental health awareness, he is eager to spread the word about Joy's ability to track an individual's mental state and promote positive change.
Sam Artioli - Abe.ai
A Virtual Personal Finance Specialist for the 99%
47% of Americans live on a financial cliff, unable to come up with $400 of cash in the event of an emergency. To address this problem, we’re introducing the concept of virtual personal finance specialists. Engaging with a virtual personal finance specialist is less about the nature of the conversation, and more the efficiency in which one can outsourcing their financial chores to an agent with a contextual understanding of their current financial self and needs. Messaging is simply the means towards action and the conversation should always be as short as possible. What matters is not the technology, but the efficacy of the product to shape and improve a person’s financial well being. I’ll explore how personified messaging products can influence day-to-day financial habits and execute the truly important parts of a person’s financial life. Everything from controlling spending, automating savings & debt repayments, planning for future expenses, and managing volatile cash flow.
Sam Artioli is a Solutions Architect with 15+ years experience in Software Development. He currently manages the technology initiatives of the Abe, a white-label chatbot software for community banks and credit unions. Prior to leading the technology initiatives of Abe, Sam was the Lead Solutions Architect in Emerging Technology for Disney. During this time he was responsible for experimenting with machine learning and advanced NLP and chatbot technologies. Prior to his work with the emerging technology division of Disney, Sam worked as an engineer for Apple where he focused mainly on Build Systems and Foundation Code; programming in C, Objective-C, Unix and Perl. As a GM, Sam oversaw the release of essential Apple Software including DVD Studio Pro, iCal, iChat, iDVD, iMovie, iPhoto, iSync, Keynote, Logic, Motion, Qmaster, QuickTime, Shake, and Soundtrack. These days you can find Sam these days crafting full platform configurations with Node.js, Angular, Gulp, Express, Cordova, a splash of Go, and Docker to bind it all together.
Jimoh Ovbiagele - ROSS Intelligence
ROSS: The New Member of Your Legal Team
Lawyers today are overwhelmed with information. 3 million new laws get published every single year. Currently, lawyers use legal search engines that have confusing user interfaces, require complicated search syntax, and return thousands of irrelevant results. Lawyers can send ROSS their research questions by email, and it will use machine learning and natural language understanding techniques like deep learning, entity-relational analysis, and deep dependency parsing to read the law and find their answers. This talk is about how some of these techniques can be used to create natural interfaces to find information.
As someone who started programming at age 10, Jimoh Ovbiagele has kept himself busy. In the past, Ovbiagele has worked on self-driving cars, built text-prediction software for wearable tech, led a team of developers at an industry leading design agency, and all this before the age of 21 when he came up with the idea for and co-founded ROSS Intelligence in 2015. As ROSS Intelligence’s CTO, Ovbiagele leads the development team behind ROSS, the artificially intelligent lawyer.
Jack Crawford - datalog.ai
Conversational AI, a Use Case on the Path to Generalized Artificial Intelligence
Bots were big last year, and it seems that the pace isn't slowing. We love chatting and bots help fill our empty moments with entertaining interactions and useful information. Now, at the outset of 2017, a new model is emerging. With deep learning, generalized artificial intelligence is beckoning us to an amazing future. In the meantime, exciting uses of closed domain / specialized AI are here. At datalog.ai, we have developed a platform for conversational AI for various use cases. Our first is an enablement of personalized telemedicine in neurosciences. This product is specifically directed at chronic sufferers whose cognitive capabilities are degrading over time.
Jack Crawford is the founder and CEO of datalog.ai, a San Francisco technology startup that is building advanced models for interpretation, prediction, and the empowerment of humans with artificial intelligence. His experience includes three other startups, leadership positions in the pharmaceutical industry, business development for a Fortune 500 consulting firm, and service in the United States Air Force in systems acquisition. He holds a degree in Chemistry from The George Washington University, and a master of science in computer information systems from Claremont Graduate University.
APPLICATION AND CONTRIBUTION OF VIRTUAL ASSISTANTS TO DAILY LIVES
Lionel Cordesses - Renault Innovation Silicon Valley
Machine Learning through analogies formalized with tools from Category Theory
Industrial applications relying on Machine Learning (ML) to control robotic systems need to learn with few trials. The number of experiments in this context is limited by either the available time or budget. Such a goal can be attained by using knowledge transfer through analogies, both of which can be mathematically formalized with tools from Category Theory. This leads to a new ML approach that transposes accumulated knowledge to new configurations, while still relying on existing ML tools. Illustrations of this innovative solution are presented on a cyber-physical system, a slot-car game. This method also proves to be versatile enough to be used on simulated systems as well, as it is demonstrated on the Atari 2600 games.
Lionel Cordesses holds a Ph.D. in Computer Vision and Control. After developing autonomous vehicles in the late 90s, he joined the Renault group in France where he created and led the Engine Control team. Then, after six years as a Project Manager in the field of Electric Vehicles, he crossed the Atlantic to build and lead Renault’s Artificial Intelligence team in Sunnyvale, CA. Lionel is also an Independent Expert in Signal Processing. He loves to hear "we know it cannot be done", as this presents an exciting challenge to find a unique solution and ultimately create new patents (34 and counting)
Eugenia Kuyda - Luka
What it is like to raise an AI friend
Replika is an AI that you talk to and it learns to become you. Everyone will have a digital copy of themselves that reflects your personality, keeps your memories, makes you more connected with your friends and yourself, does things for you and eventually keeps you alive (and lives on top of any messenger out there).
Eugenia Kuyda is a co-founder and CEO at Luka. Prior to starting Luka, she founded a branding agency where her clients consisted of Formula One teams and large banks. She also led a banking project built on top of a telecommunications company where she developed an SMS bank assistant. Prior to that, she began working as a journalist at age 12 for Novaya Gazeta (nationwide newspaper) where she had her own column. She also wrote for Sport Express, GQ and Tatler, and worked as a line producer for Bazelevs, published two books and finally became editor-in-chief at Afisha, a popular lifestyle magazine. She holds an MBA from the London Business School.
Tin Lun Lam - NXROBO
A one step further for family robots – Voice Programming in daily life applications
NXROBO’s BIG-i is a family robot with natural language interaction, movable body, and active perception. BIG-i is designed to fit each of your unique requirements. You can program BIG-i with your voice, for yourself, your family, your friends, and the people you care about. Power by our Voice Programming, you can teach BIG-i how it should do to fit for your daily life automatically, simply by tell BIG-i what it should do when something happens. In this talk, I will share to the audience about how voice programming works on BIG-i, the mechanism, the challenges behind, and which direction we are working on to improve the performance of the voice programming.
Dr. Tin Lun Lam is currently a CEO and founder of NXROBO, a company that specializes in enriching everyone’s family life by robotic technologies. He received his Ph.D. Degree from the Chinese University of Hong Kong. His research focuses on the areas of human-machine interface, intelligent control, field robotics, and novel mechanism design. He has extensive experience on development of robotic and automation systems, such as family robot, telepresence robot, tree-climbing robot, four-wheel independent steering and driving vehicle, unmanned sea surface vehicle, industrial 6-axis robotic arm system, and rescue robot. Based on his works, he has published two monographs, five international journal papers, over twenty international conference papers from major international journals and conference proceedings in robotics and automation, and over ten granted patents.
George Platon - BuddyGuard
ML optimised for running on a for low-end device:
There is nothing like coming home after a long day. Our home is our sanctuary, the place where we can feel at peace. Protecting your home is not longer only the job of the police or a good dog. In the new social era we are living, we need smarter solutions, smarter assistants, that can recognise and identify easily our friends, from intruders or unwanted presence. Such solutions should adapt to the home specifics, such as homes with noisy environments, random schedules, large variety of sounds, variety in the types of visual visitors - and use complementary cues from the home context or person’s preferences, for yielding better predictions. Flare is a unique approach to home security. It protects user's home all by itself, recognises and identifies friends from foes and is able to take decisions automatically - sending the police, or considering it as a false alarm. Using embedded machine learning algorithms powered by hardware sensors, Flare can understand what is happening in the world around it, and predict dangerous events occurring at home. We are analysing both audio (dog barking, glass breaking, steps, speech, alarm, etc.) and video (humans, dogs, cats, faces, fire, etc.) in a parallel manner, to classify events, and learn patterns from them in time. All this intelligence working on a small embedded device was highly optimised to work in a collaborative way, so the result of one AI algorithm would help the other algorithms generate better predictions. In a parallel to the mobile industry, we were solving challenges that mobile manufacturers have today running AI on small devices (e.g IphoneX’s face recognition, voice recognition (Siri, Google now)). Top technical limitations and challenges, together with various solutions, usability concerns in IoT, state-of-the-art of the industry will be presented and discussed.
George is a full-stack engineer, with a great passion for new technologies, hardware and machine learning. During the years, he was working in different positions, such as web/firmware developer, mobile developer, team leader, branch manager and lately entrepreneur. He enjoys getting the best learnings from all the positions he has been through and the people he met. Currently, George is CTO of BuddyGuard, a home security product that disrupts the smart home market through special features powered by artificial intelligence (face recognition, voice analysis, pet detection, etc.). At BuddyGuard, he is managing the technical side, which involves many challenges on data security, audio and video machine learning algorithms, distributed cloud systems scalability, mobile phones integrations and hardware electronics integrations.
IMPACT OF VIRTUAL ASSISTANTS ON HUMANS
PANEL: Virtual Assistants in Healthcare: Will they Assist or Replace Humans?
Cathy Pearl - Google
Why aren't our AI Assistants smarter?
Do our current crop of AI Assistants really use AI? If not, are they still useful? We'll look at the current state of AI Assistants, the challenges of building them, and speculate on what the future might bring.
Cathy Pearl is Head of Conversation Design Outreach at Google, and the author of the O'Reilly book, "Designing Voice User Interfaces". She's been designing and creating Voice User Interfaces (VUIs) for nearly 20 years and is passionate about helping everyone make the best conversational experiences possible. Past speaking engagements include Cannes Lion International Festival of Creativity, O’Reilly Bot Day, and TechCrunch Disrupt. Previously, Cathy was VP of User Experience at Sensely, whose virtual nurse avatar helps people stay healthy. She has worked on everything from programming NASA helicopter pilot simulators to designing a conversational iPad app in which Esquire magazine's style columnist tells users what they should wear on a first date. She has an MS in Computer Science from Indiana University and BS in Cognitive Science from UC San Diego.
Arturo Devesa - MedWhat
Arturo Devesa is the CEO & Founder of MedWhat, a medical artificial intelligence company building an artificial intelligent doctor that anwers medical and health questions. Mr. Devesa has a Bachelor in Finance and a Masters of Science in Economics and Econometrics from Florida Atlantic University. Arturo was also as a teaching faculty in statistics and information technology for four years at Florida Atlantic University. Arturo won the 2011 Florida Atlantic University Business Plan Competition with his startup MedWhat, where he received $30,000 and recognition from the event sponsor, AT&T Mobility CEO and alumni of FAU, Mr. Ralph de la Vega. Arturo moved afterwards from Florida to Palo Alto to continue developing MedWhat at Stanford University’s Medical School, where he did research on Stanford NCBO’s Bioportal. In 2013, Arturo and his startup were accepted into StartX, Stanford’s prestigious startup accelerator.
Pawan Gupta - Curofy
Pawan is the Co-Founder of Curofy. He leads the Product and Technology teams. He comes from a small city in Haryana and was the first person to crack IIT. Curofy today is the largest network of verified Doctors in India with over 60,000 Doctors from over 350 cities of India. Doctors are discussing patient cases with their peers to provide extremely quick and better diagnosis to their patients. Curofy is satisfying their hunger for knowledge and better outcomes. Pawan always had a passion for entrepreneurship and represented IIT Delhi at international summits in Stanford, Oxford, NUS Singapore, and Germany. He wanted to build a company that could impact the lives of people and hence chose to start in healthcare.
Alex Brokaw - Freelance
Alex Brokaw is a writer and consultant based in New York City. He spent many years as a finance and technology reporter, most recently at The Verge. He now specializes in writing and creative services for artificial intelligence and robotics companies. Alex is passionate about helping these companies explain their technologies to customers and larger audiences, whether that’s through technical writing, marketing copy, or overall brand and marketing strategy.
Bart Selman - Cornell University
Technological Unemployment: Fact of Fiction?
Various studies have predicted that the introduction of advanced AI technologies, such as self-driving cars and autonomous virtual assistants, will have a dramatic impact on overall employment. I will discuss the assumptions behind these predictions and several possible paths forward in terms of work-life balance. I will also discuss how the introduction of AI technology appears to be accelerating and the core remaining challenges for AI.
Bart Selman is a Professor of Computer Science at Cornell University. He previously was at AT&T Bell Laboratories. His research interests include computational sustainability, efficient reasoning procedures, planning, knowledge representation, and connections between computer science and statistical physics. He has (co-)authored over 100 publications, including six best paper awards. His papers have appeared in venues spanning Nature, Science, Proc. Natl. Acad. of Sci., and a variety of conferences and journals in AI and Computer Science. He has received the Cornell Stephen Miles Excellence in Teaching Award, the Cornell Outstanding Educator Award, an NSF Career Award, and an Alfred P. Sloan Research Fellowship. He is a Fellow of the American Association for Artificial Intelligence and a Fellow of the American Association for the Advancement of Science.
Stefan Kojouharov - Chatbot’s Life
How Chatbots will Revolutionize the way we get things Done
Do you need to find a babysitter, hire a handyman, or book reservations to your favorite restaurants? Soon a Virtual Assistant Chatbot will help you get simple tasks done automatically. When you run out of eggs, your refrigerator Bot will order more eggs for you. Booking appointments with colleagues will happen automatically as your bot talks to their bot and for the first time, all of your technology, apps, emails, notes will be integrated. AI & Bots offer us the promise to seamlessly integrate our regular lives with our tech lives. Get an insight into the future of Bots and how to take advantage of this opportunity.
About Stefan: Founder and Editor of Chatbot’s Life. Chatbot’s Life has quickly become the #1 place to learn about bots and to start Bot Projects. We help companies create great bots and share our insights along the way. To date we have worked on 20+ Bots and have helped companies like Swelly, Instavest, Outbrain, and many more.
END OF SUMMIT
CONNECTED HOME BREAKOUT SESSION - Panel Session on the Connected Home
This Workshop is an opportunity to hear more in details about expert's opinion on the connected home and how it will change our lives in the future. Questions discussed includes: How far are we the integration of VAs in the connected home? What is essential for future progress? What is important to humans to be able to accept VAs in their home? Moderator: Alex Brokaw, Freelance Writer. Panelists: George Platon, CTO & Founder at Buddyguard and Cheng He, CTO at Mosaic.