Leaders in Pharmaceutical Business Intelligence (LPBI) Group

17th Annual EmTech @ Media Lab, MIT – November 7 – 8, 2017, Cambridge, MA – This Year’s Themes, Speakers and Agenda

MIT Media Lab
Building E14
75 Amherst Street (Corner of Ames and Amherst)

Themes:

• Business Impact
• Connectivity
• Intelligent Machines
• Rewriting Life
• Sustainable Energy
• Meet the Innovators Under 35

Leaders in Pharmaceutical Business Intelligence (LPBI) Group, Boston

will cover in REAL TIME

The 17th annual EmTech MIT – A Place of Inspiration, November 7 – 8, 2017, Cambridge, MA

 

MIT Technology Review’s EmTech conference

 

In attendance, covering LIVE using Social Media

Aviva Lev-Ari, PhD, RN

Editor-in-Chief

http://pharmaceuticalintelligence.com

@pharma_BI

@AVIVA1950

#emtechmit

@techreview

 

https://events.technologyreview.com/emtech/17/?utm_medium=email&utm_source=press_list&utm_campaign=emtech2017&utm_term=conference&utm_content=press_credentials&discount=MEDIAM172B#section-about

 

AGENDA FOR TUESDAY, NOVEMBER 7, 2017

• 8:00

  Registration & Breakfast

• Data analytics and Ideas
• words vs language – past, present, future – uniquely HUMAN, now machine language is Human Partner
• language vs Ideas
• machines knows a lot
• facts, dat move to narrative
• Language is understanding
• FIN information: Decisions about allocations,
• Turbidity data on the beach in Chicago: Which Beach is the cleanest vs the dirtiest
• NARRATIVE ANALYTICS: data that machine can tell us what it has as a story and presented as intelligent language,
  

  Cognitive Science application to autonomous driving – Yibio Zhau, Tennenbaum Lab @MIT, ISEE.AI, Computer vision, Cognitive Science

•  interpulate and extrapulate data needed for autonomous driving
• reasoning beyond the system: Human intelligence , intentional reasoning, pattern recognition,
• Ali baba – funding building of a Robot for autonomous driving – understanding by imagining – causes for behavior by others
• ISEE – Next generation of AI — driving drivessless ly for thousands of miles
• Car to car communication is a sensoring issue, negotiation need to be taught to machines

Young Scientists 35 years old or less

Austin Olson, Luminar – object detection 99% accuracy,

Angella Schoellig — Roborts, Prof. University of Toronto, robots in predictable environments

Lorenz Meier — Vertical Technologies – Drones and safety – DB of flights

Lee Krevat, Sempra –

owns Wind Farms- managing a Grid with renewable energy. Variable – Wind technology wind is variable – if wind blows too much switch to diesel. 100% renewable for one hour on Islands

1. 20 cents diesel, wind is 10 cents help the enviroment

mainland, not yet used, price diesel vs wind

Solar wind generation – next biggest Technology in Energy

Alex Tepper,Avetars

• RAIL – Predict derailments
• OIL & GAS – corrosion is the enemy — knowledge of corosion progression – using AI algorithms

Growth area: Aviation

John Holdren – Harvard University – Government  Role in ENERGY and Climate Change – Obama’s advisor Presidential CSO on Climate and energy

• mitigation
• adaptation
• suffering – shortcomings of mitigation and adaptation
• harm of business as usual
• Efficiency standards during Obama Administration, assistance to other countries led to the Agreement in Paris 195 countirs — agreement to reduce emission. China and US declare cooperation on emission of gases into the environment.
• PRESIDENT TRUMPS CALLED CLIMATE CHANGE A HOAX  – proposed to cut energy R&D
• All executive orders by Obama – were reverted by Trump
• Innovations: Electricity from Solar increase and wind as well and batteries
• Carbon capture and storage – technological challenge
• Biofuel processing, liquid bio fuel
• Nuclear innovations to nuclear waste
• 2100 – 5% on defense and 2% on the environment – model under estimate the contribution of innovations for the long run.
• 1000 businesses in deployment of technologies

Evelyn wang, MIT – Material Science – Sustainable energy – nano

• material properties: superior properties of LOW DENSITIES
• Light manipulation
• membrane
• CO2 capture
• Technologies: Nnao, Thermoelectronics, energy and water
• Solar 6% and wind 21%, biomass 5%voltaic
• SOlar eneconversion
• PHOVOLTAIC: SCALBALE, SOLID STATE, INTERMITTENT, PARTIAL SOLAR SPECTRUMrgy
• Nanophotonics: Solar energy conversion: photo
• Nano absorber – area ratio; Emitter: silicon and silicon  – spectral approach
• potential STPVs
• Transportation using energy with emission
• Power consumed by HVAC
• Thermal Battery for Electric Vehicle: Adsorption Heating and Cooling
• Desorption vs Adsoption: cooling vs Heating mode
• High capacity adsobents – Zeolite  MOF enhancing capacity heat and mass transport
• Tmal Battery Prototype: Hybrid, electric, stationary domestic HVAC.
• Water harvesting from Air – metal organic Frameworks: Adsorption – harvest water without need of additional electricity
• Opportunities for Advanced Materials

Prof. David Keith, Harvard University

• technologies to stop global changing
• research program
• stratospheric aerosol cool planet – pollution masking global warming
• solar geo-engineering, vs emission cut 3x BAU vs business as usual
• Annual maximal Temperatures, extreme precipitation,
• carbon emission worm up vs climate risk in Time
•  use of technology for climate change mitigation: carbon removal
• Solar engineering is the solution

Next Generation Brain Interfaces

Andrew Schwartz, University of Pittsburg

• Causality is obscure

AGENDA FOR WEDNESDAY, NOVEMBER 8, 2017

• 8:00

  Registration & Breakfast

9:30 – 10:00 AI and the Future of Work

Iyad Rahwan, MIT Media Lab, Introduction by Elizabeth Woyke, TR

• Physical Therapist — will not be replaced by computerisation
• Probability of computerisation: Skilled cities are better at economics shocks
• Adam Smith – simple operations
• Differential Impact from Automation on Cities – the larger the city more resilient to automation
• City size vs clusters of occupations — cluster grow with city size
• Impact on Middle Class vs Lower and Upper: low paying jobs, middle and high
• Skills in Occupations: mapping SkillScape correlations with Education
• Skills in demand

discussion

• Urbanization took place – 80% live in cities around the World
• Outliers in CIties by size and Skills: Boulder, CO – small size very skilled labor, politics support start ups and high tech

10AM – 10:30AM

Meet the Innovators Under 35

• Tracy Chou – ProjectInclude – diversity

1. All about data

• Olga Russakovsky – Princeton University – Computer vision
• AI for education of under privileged high school

1. IM-GENET – Data sets encode human biases
2. AI is powered by Data
3. AI learns societal  biases
4. Researchers shape AI

• 10:30

  Break & Networking

   

• e 11:30 – 11:45 Meet the Innovators under 35
• Phillipa Gill  – UMass CS – Project of Network measurement on censorship measurement platforms
• Joshua Browder – DoNotPay

11:45 – 12:00 The Emerging Threat of Cybercriminal AI

Shuman Ghosemajumder, Shape Security

Hosted by Martin Gile

• CyberCrime is evolving using AI – Imitation Game – Turing Test restricted Turing Tests
• Computer vision, Solving CAPUTRE – Copletely Automated Turing  Tests
• CAPTCHA by Google
• Credential Stuffing Accounts Attacks – SONY was hacked and 93,000 Passwords stolen
• Clip Farms at Google
• BLACKFISH – identify Credential Stuffing Accounts Attacks, all invalid password are not valid to be used by cyber attackers again – that authentication is no longer valid
• Multi Factors Authentications vs ease of use to Log In
• Knowledge Basis – Probabilistic  SYmbols – BlackFISH – technological advantage – iPhone stores a math formulation of characteristics of the finger print not the image of the fingure
•  12:00

  Lunch & Networking – Lamborghini -super sport car

   

• Killer Platforme ==>Killer Interaction ==>Killer application
• Reactive ==> Proactive
• Brain Computer Interaction (BCI) – maximum Privacy no voice involved like in SPeech
• Voice, Motion Tracking, eye tracking
• Human intentionality – a World without limitations
• NASA is a client
• consol technology for navigation, typing,
• Problems: Add to glasses or as an Ear piece
• the signal is ACTION POTENTIAL
• latency differences between individuals
• Non-invasive to invasive to capture signals

• Using functional MRI technology for a NEW device to scan emotions rather than medical diseases
• HOLOGRAPHY of the Brain – liquid crystal display is like transistors on a chip
• OPTICS – DISCONTINUITY of Moore’s law – high resolution like functional MRI
• Holographic LCD – scattering material VOXEL detector – measure intensity of light, no resolution, consumer camera speed OK Inexpensive
• Human body scattering
• HAT and Bandage

• Tell the Truth
• Media Lab — a Non-disciplinary place
• Universities play a role in Social Justice
• FEAR of AI:

1. For profit will own it all
2. stupid AI will govern
3. displace work
4. espionage
5. catalytic institute that will make a contribution to OPENNESS vs technological dominance

Joi Ito, MIT Media Lab: AI problems –

• MUST be democratized – Now it is in the hands of very FEW
• RISK SCORES can’t be contested in court because they are IP of for profit companies
• Joi Ito, MIT Media Lab at MIT do good to Society vs make the most of money which the majority are doing
• AUTONOMICH vs autonomous agents, said Joi Ito, MIT Media Lab – Hoffman: Design goals more symbiotic: Scaling, more productive, Season 2 launched today
• Design principle – LEARNING vs EDUCATION, Joi Ito, MIT Media Lab

Hoffman on AI Technologies

• shaping it to avoid catastrophic negatives
• provide a public good via participation

• Tweets and News, Washington Post – Tracking tweets from US on Politics related to the Elections
• National memory on Guns, Immigrations
• Debate brief from tweets and News rooms
• topic classifier,  Campaign finance, SHARE OF COVERAGE IN NEWS, SHARED OF VOICE ON TWITTER
• deep neural network training algorithms
• Passion Gap: cut data on Twitter – Trump supporters exhibited x2 fold energy vs the Democratic candidate
• How does Media flow: Sanders, Clinton, Trump – each is a Media Source
• Truth, Trust, Attention  – Fact checking
• If Trust the source then I believe it is True
• Public Opinion: The Politics of Resentment in Rural WI – Katherine Cramer
• Listening Networks: Human- Human Interaction: Media sharing network – change week by week – the MOST innovative methodology developed to date for Public Opinion – presentation by
  Deb Roy, MIT media Lab  – using deep Neural network training
   

• Valve – development of Tissues, biochemical properties
• signaling molecules
• mechanical strength – physiological
• Attrach stem cells – proper matrix formation
• Functional implants

• IBM Research Africa – 300 million adults – lack of access to financial services
• Univesities, Government  – start ups to scale ideas

• 5:00

  2017 Innovator Under 35 Awards & Reception

1. Speakers

2. • 

     Viktor
     Adalsteinsson

     Group Leader, Broad Institute of MIT and Harvard

     2017 Innovator Under 35

   

   Gene
   Berdichevsky

   CEO, Sila Nano

   2017 Innovator Under 35

   • rechargeable battery
   • new class of materials charge and discharge in battery
   • store more energy
   • more better designed electronics: electrified flight, solar, car: Hybrid and electric
   • 21st Century belongs to electrification vs combustion in the 20th century,
     

     Gene
     Berdichevsky

     CEO, Sila Nano

   • 

     Tracy
     Chou

     Founding Advisor, Project Include

     2017 Innovator Under 35

   • 

     Adrienne
     Felt

     Software Engineer, Google

     2017 Innovator Under 35

   • 

     Phillipa
     Gill

     Assistant Professor, University of Massachusetts, Amherst

     2017 Innovator Under 35

   • 

     Tallis
     Gomes

     CEO, Singu

     2017 Innovator Under 35

   

   Kathy
   Gong

   CEO, WafaGames

   2017 Innovator Under 35

   • GAMING SWARD OF GLORY – EPIC NEW RTS EXPERIENCE – WAFA GAMES IN CHINA

   • 

     Ian
     Goodfellow

     Staff Research Scientist, Google Brain, development occurred at OpenAI

     GAN’s – Generative Adversarial Network – from AI Optimization to Game Theory

     2017 Innovator Under 35

   • 

     Yasmin
     Green

     Director of Research and Development, Jigsaw at Google

     Addressing Online Threats to Global Security

   • 

     Kris
     Hammond

     Chief Scientist and Cofounder, Narrative Science

     AI’s Language Problem

   • 

     Svenja
     Hinderer

     Scientist, Fraunhofer IGB

     2017 Innovator Under 35

   • 

     Reid
     Hoffman

     Cofounder, LinkedIn; Partner, Greylock Partners

     The Future of Work

   • 

     John
     Holdren

     Professor, Harvard University

     Climate Disruption: Technical Approaches to Mitigation and Adaptation

   • 

     Joi
     Ito

     Director, MIT Media Lab

     The Future of Work

   • 

     Mary Lou
     Jepsen

     Founder, Openwater

     Capturing Our Imagination: The Evolution of Brain-Machine Interfaces

   • 

     David
     Keith

     Professor, Harvard University; Founder, Carbon Engineering

     The Growing Case for Geoengineering

   • 

     Neha
     Narkhede

     Cofounder and CTO, Confluent

     2017 Innovator Under 35

   • 

     Andrew
     Ng

     Founder, Deeplearning.ai; Adjunct Professor, Stanford University

     The State of AI

   • 

     Tomaso
     Poggio

     Investigator, McGovern Institute; Eugene McDermott Professor, Brain and Cognitive Sciences, MIT

     Understanding Intelligence

   • 

     Olga
     Russakovsky

     Assistant Professor, Princeton University

     2017 Innovator Under 35

   

   Michael
   Saliba

   Marie Curie Fellow, EPFL

   2017 Innovator Under 35

   • disruptive technology in the energy space

   • 

     Gang
     Wang

     Chief Scientist, Alibaba

     2017 Innovator Under 35

   • 

     Jianxiong
     Xiao

     Chief Executive Officer, AutoX, Inc.

     2017 Innovator Under 35

     CAMERA-first solution affordable self-driving

3.