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Era of Artificial Intelligence Lecture 4 Pietro Leo

  1. @pieroleo The Era of Artificial Intelligence Lecture 4 Pietro Leo IBM Italy Executive Architect and thought leader for Artificial Intelligence Chief Scientist for IBM Italy Research & Business IBM Academy of Technology Leadership Member of ISO/SC42 Artificial Intelligence Standardization Committee www.pieroleo.com
  2. @pieroleo Artificial Intelligence has multiple forms: it is augmenting human decision making and is opening to new forms of collaboration between humans and machines
  3. @pieroleo TOOL COACH COLLABORATOR ACTIVE MEDIATOR AI present and future forms Number of Use Cases Today ASSISTANT
  4. @pieroleo AI present and future forms TOOL COACH COLLABORATOR ACTIVE MEDIATOR ASSISTANT Today
  5. @pieroleo 5 Kind of problems where Artificial Intelligence is generating a relevant business impact
  6. @pieroleo IBM Shoebox Understands 16 words zero, one, two, three, four, five, six, seven, eight, nine, minus, plus, subtotal, total, false, and off.
  7. @pieroleo IBM Shoebox Understands 16 words ’60 IBM Speech Server Series - Word Recognition Error Rates - About 45%-50% ’80 IBM Via Voice – Error rates 10%- 15% voice dependent ’00 ’90 Understands 20000 words Today Error Rate Around 5%-6% As good as humans Speech Recognition
  8. @pieroleo Source: https://arxiv.org/ftp/arxiv/papers/1608/1608.07323.pdf
  9. @pieroleo 9 Source: IBM Research Food Recognition - https://www.ibm.com/blogs/research/2017/05/training-watson-see-whats-plate
  10. @pieroleo 10 er - https://arxiv.org/pdf/1612.00563.pdf “a blue boat is sitting on the side of a building” “a person holding a giraffe in their hand” Rennie, Marcheret, Mroueh, Ross & Goel, “Self-Critical Sequence Training for Image Captioning.” CVPR 2017
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  12. @pieroleo AI present and future forms TOOL COACH COLLABORATOR ACTIVE MEDIATOR ASSISTANT New Forms
  13. @pieroleo AI present and future forms TOOL COACH COLLABORATOR ACTIVE MEDIATOR ASSISTANT
  14. @pieroleo Gutman, Codella, Celebi, Helba, Marchetti, Mishra and Halpern, “Skin Lesion Analysis toward Melanoma Detection: A Challenge”, Int. Symposium on Biomedial Imaging (ISBI) 2016 • Deep Learning for skin lesion image analysis • Trained on dermoscopic images of melanoma and other skin cancers • Automates analysis of images of skin lesions • Extracts clinical features • Segments lesions • Predicts disease • Reports disease score • Searches for similar lesions Tool: Skin Lesion Image Analysis for Melanoma Detection
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  16. @pieroleo AI present and future forms TOOL COACH ACTIVE MEDIATOR ASSISTANT (hyper realistic) COLLABORATOR
  17. @pieroleo Source: Soul Machine - https://www.youtube.com/watch?v=fNWjKtVWToc
  18. @pieroleo 19
  19. 20 Artificial Interactions – Soul Machine Soul Machine’s Greg Cross Presentation https://www.facebook.com/bwnet.fans/videos/10154882117121837/ Soul Machines ‘digital humans’ have own unique personality and emotional intelligence. • creating a realistic physiological model, • the persona, and • the self-learning from each human interaction. The IBM Watson platform enables these digital humans to learn an organization's corpus of knowledge and Soul Machines’ human computing engine allows them to embody the core values of the organization they will represent. Soul Machine Digital Humans: https://www.youtube.com/watch?time_continue=2&v=AzPs7GfOkew Baby 5.0 - https://www.youtube.com/watch?v=yzFW4-dvFDA
  20. @pieroleo 21 The human face of Artificial Intelligence Air New Zealand Project: https://www.ibm.com/blogs/ibm-anz/digital-humans/ Soul Machines used neural networks and biological brain models to bring Sophie to life, powered by a cloud based Human Computing Engine.
  21. @pieroleo @pieroleo www.pieroleo.com
  22. @pieroleo AI present and future forms TOOL COACH ACTIVE MEDIATOR ASSISTANT COLLABORATOR
  23. @pieroleo Personalized diabetes mobile companion Guardian Connect Cognitive Computing Sugar.IQ • Real-time, smartphone CGM with alerts • Insulin, Meal, Activity, Context • Standalone, for MDI patients • Watson Health Cloud & Analytics • Pattern recognition, insights & Predictions • Engagement & Gamification • Real-time insights, coaching platform • Assists in daily diabetes mgmt • Aggressive capabilities roadmap Insights Glucose Forecasts Hype-hyper Predictions Ask Watson
  24. @pieroleo Collaborating to have an healthy regime
  25. @pieroleo Technical R&D today: Disruption opportunity New Product New Product Opportunistic Discovery by Humans Simulation Experiments Simulation & Inference Experiments Comprehensive Discovery by Cognitive Today Cognitive Discovery
  26. @pieroleo - the car doesn’t need to drive at all, unless this is part of the story; - the driving should be peripheral to the story; - characters in the story should have an emotional designator, for example a husband or father over driver or engineer; - and the use of children helps increase the emotionality of an advert. - Additionally, strong facial expressions are more powerful than strong language; - ads are most effective where use of the spoken word is limited; - use of a midpoint or twist is important to keep the story moving and to maintain interest; - and the midpoint should involve an unexpected event, for example a crash or near miss.” AI review of 15 years of Cannes Lion-winning ads was the backbone of the creative process, it was supplemented by several other injections of data and insight. Emotional intelligence data from Unruly helped the machine learning process understand which parts of ads sparked responses from viewers. Creating an Intuitive Car Ad collaborating with AI Human Discovery DATA AI GENERATED SCRIPT HUMAN
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  42. @pieroleo AI Learns the Art of Debate Source: http://www.research.ibm.com/artificial-intelligence/project-debater/ • Detecting claims in relevant documents • Detecting evidence in relevant documents • Negating claims • Synthesizing novel claims • Assessing argumentation quality • Relating arguments across texts • Determining expert opinion stance • Classifying sentiment of phrases • Classifying sentiment of idioms • Understanding Automatic Speech Recognition • Predicting phrase breaks • Emphasizing words and phrases • Determining concept abstractness • Identifying related documents • Detecting argumentative structures Challenge: “We should subsidize space exploration” Solution Pipeline
  43. @pieroleo McKinsey estimates that 23% of legal work can be automated, there are many other aspects of a lawyer’s working day, like briefing clients and appearing in court, that are beyond the capabilities of algorithms, at least for now. https://www.lawgeex.com/
  44. @pieroleo AI present and future forms TOOL COACH COLLABORATOR ACTIVE MEDIATOR ASSISTANT
  45. @pieroleo ViTA Advisor: it is a conversational multi- modal agent to support older as well as a tool to collect meaningful data about the context of an individual ViTA : Virtual Trainer for cognitive impaired patients Sustain Independence and Dignity with affect and purpose, preserve and reinforce individuals and social memories Vita Memory Coach: a system that supports caregivers to collect meaningful facts and memories of an individual and his context Vita Memories Leo, D’Onofrio, Sancarlo, Ricciardi, De Petris, Giuliani, Peschiera, Failla, Renzi and Greco, “ViTA: Virtual Trainer for Aging”- FAAL 2017
  46. @pieroleo Coaching our memory and triggering affective states 3/9/19Tales
  47. @pieroleo AI present and future forms TOOL COACH COLLABORATOR ACTIVE MEDIATOR ASSISTANT
  48. @pieroleo Sense& OrganizeData & Information Proposedecisions for us and our businesses Big Data Decision Lakes Product & Services that Proactively mediateusers Internet Web/Mobile Data Cloud / IoT Analytics Artificial Intelligence /Machine Learning Natural Interfaces Multimodal Reasoning • ProactiveSupportHealthy decisions • AugmentProblem Solving and learning • ActiveHomes • ResilientWorkEnvironments& Manufacturing Active Intelligence Active Intelligence
  49. @pieroleo Source: IBM & Marchesa Cognitive Dress https://www.ibm.com/blogs/internet-of-things/cognitive-marchesa-dress/ & https://www.ibm.com/watson/stories/dress.html How you perceive see yourself How others see you A Cognitive Dress mediates you
  50. @pieroleo
  51. @pieroleo Outright Bans Informing Citizens Active Vehicles
  52. @pieroleo Source: Shaun Sweeney and others https://arxiv.org/pdf/1706.00646.pdf IBM Research & University College Dublin Cyber- physics, pollution mitigation, and electric bikes A cyber-physical system that mitigates the effect of urban pollution by indirectly controlling the minute ventilation (volume of air inhaled per minute) of cyclists in polluted areas. Active e-bike
  53. @pieroleo https://www.wired.com/story/the-wide-eyed-robot/ “Ready to learn” Simulate the natural interaction between baby and mother or father. Active Learning
  54. @pieroleo Two Pacific Place in downtown Hong Kong Cyber-physics: AI and ML to Reduce Energy Use in Cooling Systems Electricity consumption incurred on average 30% lower than the current mode of operation in the building (green curve). • Season • Age of chiller • Weather Condition • Outdoor Temperature • Model Type • Building • Operating Power • Water Mass Flow Rate • Water Temperature Difference • Latest Cooling Load Features Source: https://www.ibm.com/blogs/research/2018/07/reduce-energy- cooling/ Active Building
  55. @pieroleo Thanks! Pietro Leo IBM Italy Executive Architect and thought leader for Artificial Intelligence Chief Scientist for IBM Italy Research & Business IBM Academy of Technology Leadership Member of ISO/SC42 Artificial Intelligence Standardization Committee www.pieroleo.com
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