LIVE 11/2/2015 9AM @The 15th Annual EmTech MIT – MIT Media Lab: Top 10 Breakthrough Technologies & 2015 Innovators Under 35
Live Press Coverage in REAL TIMEAviva Lev-Ari, PhD, RN Director & Founder, Leaders in Pharmaceutical Business Intelligence, Boston Co-Founder, GDE |
Monday, November 2
8:00 Registration & Breakfast
9:00 Opening Remarks
A welcome from MIT Technology Review’s Editor in Chief and Publisher, and our EmTech MIT emcee.
Jason Pontin
Editor in Chief and Publisher, MIT Technology Review
DOsen countries, many industries are here celebrating today reactive digital network computers 24×7 information tailored to persuade, TRENDS:
- Machine learning
- data capital
- data collection human and digital feeds more data
Interconnectedness Virtual and physical, real or not Pervasiveness in the 70s Digital Ubiquity in 2015. Utility for embracing technology.
Today: We beginn with Artificial Intelligence advances, the CIty and energy , Big Data
Tomorrrow: Robots, CRiSPR and Economics Space
Innovators Younger than 35 years old
9:15 Augmented Knowledge
Our daily experience will be redefined as breakthroughs in AI make connected devices smarter, weaving them seamlessly into our environments at home, at work, and on the go.
Eric Horvitz
Distinguished Scientist and Director, Microsoft Research
On AI Futures
AI: 1967 Minski at MIT predicted AI to solve intelligence in problem solving
Microsoft — major investment in AI
300 focus on AI alone: Statitistics, CS, OR, Computation revolution, ROUTING and SEARCHING algorithms
From Seattle to entire the World: Reasoning in Hospital predicting medical complications among patients
NeuroNetworks: Accuracy of Learning models , Autosteer – Injuries caused by driveless car
50 Summers of innovations in Aviations from first hock to aircrafts of 2015.
Scientific discovery: Gene interaction used in drug discovery for anti-cancer
AUgmentation of Data for Trips planning
Reasoning Systems:
- Native AI: Natural Language, Scheduling, robot talks to Adm
- Social intelligence: fight confusion
- Brain, Mind, Machines: Bounded rationality – Prospects
Concerns of AI:
- job eliminations by machines – competencies of automation
- New kinds of jobs emerge
- Machinery for reflecting on People and Society
- Stanford Research: recurrently provide guidance to understand the Future form the Technology perspective
Interview by Jason Pontin with Eric Horvitz , MD, PhD, Biology at Stanford, Neurobiology and CS, Computation and Biology
Distinguished Scientist an Microsoft
Jason: Society of the Mind concept
Eric: Multiple Theory of Researcces of the Mind – ccordination of the Human mind in vision and language, deep learning, perception, reflection and foreseeing, integrative solutions
In 2014: 14 topics identified Cybersecurity, AI influence on Freedom and Democracy: Percision targeting to persuade voters to change position in politics, not detectable, danger ?!?
Jason: Past, present and FUture
Eric: Sociology study automation and impact on Society – complex interactions
Jason: Microsoft Research changed?
Eric: Yes changes, faster tech transfer, Photonics fruits
Microsoft every year has the most 35 Younger innovators
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Jason: NEXT about DEP LEARNING by Yan LeCun
Yann LeCun
Director of AI Research, Facebook
Teaching Machines to Understand Us by Augmented Knowledge
Architecture of NeuroNet: Multiple layers successful to recognize ink checks Machine learning community deserted that method.
Takingover was NYU 2000, Canadian Institute for Research Supported AI Research 2003-2007, results obtain 2010-2011a breakthrough occurred in Augmentation Knowledge with Images
Computer Vision Community did not embrass the breakthrough
Microsoft and Google — Speech recognition on Servers or iPhone was replaced by Augmented Reality – training Neuro-networks with Augmented Computer Vision of Object Recognition
Applications: Genomics, Image Analysis in Sports, 2013 – Computer Vision Community has adopted the Augmentation Medium Data Model mapping an object to a vector, representation to vector not to a symbol.
Vector for image vs Vector for Text
Predicted Hashtags: #flowers
- Siri Conversation embedded with Augmented Knowledge Imaging – unsupervised learning
- Augmented Text by guiding questions
Jason is interviewing Yann LeCun
Research Money comes from?
Yann: More sources are available
Propagation: 2015 the number of layers in Neuronets, Recurrrent nets were adonded, Optimizing a high dimensional problem due to multiple layers: on-convexity is working
Jason: Is Deep Learning a Hype?
Yann: Yes on Hype, memory, reasoning deep learning searhc planning – integration still needed
PREDICTIONS IS THE FUTURE OF AI
Technology of supervised learning not all understood
Eric Joined : Consciousness, deep competencies
Questions from Audience:
HealthCare Data is from all VA Centers put together into ONE Center
- Access to data
- Predictions in Hospitals for Re-Admission or getting C-Diff — interfaces requires more investment
Elections Cycles – filtering data to Predict outcomes and reporting outcomes
Yann: Political Scientists are interested
News Magazine Question: Deep Knowledge vs Artificial Nets
Yann: mentioned three Paradigms of NeuroNets
Eric: Neural System in Human is not understood, NeuralNets are Powerful Mathematical systems vs Human Intelligence the mechanism is not yet fully understood
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Ms. Kennedy, Head of Tech Review:
EmTech started in 1999 – 15 years anniversary of EmTech
100 Years of TechReview as 100 Years Anniversary of MIT
MIT featured Young Innovators less than 35 years Old, NOW the top designers from
- Apple
- iRobot
- CTO Tesla
- Uber
- Sunsong
2008 – Regional Editions: India, Spain,
2015: 22 Competition from 35 Counties
The Young Innovators: 2015 – In the Audience: Young Innovators: from France, Spain, India, 3 minutes talk
AI Topic will close with Young Innovator: Adam Coates
Application of AI: create a helicopter with Deep Learning, a bigger AI problem. A n AI problem to be solved if it will be useful to impact 100 million of people: Interfaces of Speech recognition, Natural language, Computer Vision on a laptop,
Please Follow on Twitter @Pharma_BI and at following Meeting @TechReview, @Jason_Pontin and #EmTechMIT
General meeting @2012pharmaceutical
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#medialab
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Twitter @ and # for this Lecture
| Talk | Date Time | @ | # |
| Jason Pontin | Nov 2 9AM | @jason_pontin
@EmTechMIT @techreview @medialab @Wired @techinboston |
#tech
#innovation #techreview #MIT #EmTechMIT |
| Eric Horvitz | Nov 2 9:15AM | @eric
@MSFTResearch |
#Microsoft
#ArtificialIntelligence |
| Yann Lecun | Nov2 9:15 AM | @ylecun
@usdatagov @MSFTResearch |
#openscience
#opendata |
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