Unit-IV; Professional Sales Representative (PSR).pptx
Jaist satellite 20180301 v6
1. Jim Spohrer (IBM)
JAIST Satellite, Thursday March 1 2018
http://www.slideshare.net/spohrer/jaist-20180301-v6
3/1/2018 1
Preparing for Our Future
with Open Artificial Intelligence (AI)
5. Leaderboards Framework
AI Progress on Open Leaderboards - Benchmark Roadmap
Perceive World Develop Cognition Build Relationships Fill Roles
Pattern
recognition
Video
understanding
Memory Reasoning Social
interactions
Fluent
conversation
Assistant &
Collaborator
Coach &
Mediator
Speech Actions Declarative Deduction Scripts Speech Acts Tasks Institutions
Chime Thumos SQuAD SAT ROC Story ConvAI
Images Context Episodic Induction Plans Intentions Summarizatio
n
Values
ImageNet VQA DSTC RALI General-AI
Translation Narration Dynamic Abductive Goals Cultures Debate Negotiation
WMT DeepVideo Alexa Prize ICCMA AT
Learning from Labeled Training Data and Searching (Optimization)
Learning by Watching and Reading (Education)
Learning by Doing and being Responsible (Exploration)
2015 2018 2021 2024 2027 2030 2033 2036
3/1/2018 (c) IBM 2017, Cognitive Opentech Group 5
Which experts would be really surprised if it takes less time… and which experts really surprised if it takes longer?
Approx.
Year
Human
Level ->
6.
7. Every 20 years, compute costs are down
by 1000x
• Cost of Digital Workers
– Moore’s Law can be thought of as
lowering costs by a factor of a…
• Thousand times lower
in 20 years
• Million times lower
in 40 years
• Billion times lower
in 60 years
• Smarter Tools (Terascale)
– Terascale (2017) = $3K
– Terascale (2020) = ~$1K
• Narrow Worker (Petascale)
– Recognition (Fast)
– Petascale (2040) = ~$1K
• Broad Worker (Exascale)
– Reasoning (Slow)
– Exascale (2060) = ~$1K
73/1/2018 (c) IBM 2017, Cognitive Opentech Group
2080204020001960
$1K
$1M
$1B
$1T
206020201980
+/- 10 years
$1
Person Average
Annual Salary
(Living Income)
Super Computer
Cost
Mainframe Cost
Smartphone Cost
T
P
E
T P E
AI Progress on Open Leaderboards
Benchmark Roadmap to solve AI/IA
8. GDP/Employee
3/1/2018 (c) IBM 2017, Cognitive Opentech Group 8
(Source)
Lower compute costs translate into increasing productivity and GDP/employees for nations
Increasing productivity and GDP/employees should translate into wealthier citizens
AI Progress on Open Leaderboards
Benchmark Roadmap to solve AI/IA
12. TED Arai Todai Robot
3/1/2018 (c) IBM 2017, Cognitive Opentech Group 12
… when will
your smartphone
be smart enough to
pass a university
entrance exam?
13. Other Technologies: Bigger impact?
Yes.
• Augmented Reality (AR)/
Virtual Reality (VR)
– Game worlds
grow-up
• Blockchain/
Security Systems
– Trust and security
immutable
• Advanced Materials/
Energy Systems
– Manufacturing as cheap,
local recycling service
(utility fog, artificial leaf, etc.)
3/1/2018 (c) IBM 2017, Cognitive Opentech Group 13
14. Industries Transformed
Digital Natives Transportation Water Manufacturing
Energy Construction ICT Retail
Finance Healthcare Education Government
“The best way to predict the future is to inspire the next generation of students to build it better”
Please reuse – contact spohrer@us.ibm.com
Reference:
Spohrer, J (2018) Preparing for Our Future with Open Artificial Intelligence (AI): A Service Science Perspective . WednesdayFebruary 28, 2018
URL ttp://www.slideshare.net/spohrer/jaist-20180228-v4
The Future of AI and Education: Measuring Progress and PreparingAn industry perspective and forecast of where technology is going,including the what and when for "solving" Artificial Intelligence (AI),is presented. Next, the benefits and challenges will be discussed,including impact on jobs, both near term via IntelligenceAugmentation (IA) and longer term via automation. The impact ondifferent sectors of the economy will be explored, especially the impacton education, and how best to prepare students and others for thechanges that are anticipated. In conclusion, the importanceof T-shaped skills that integrate deep skills in problem-solving (STEM)and broad skills in communications (both business as well as arts&humanities) will be discussed. The rationale for teaching students, whoare empowered by advanced technologies, to competeto find better ways to rapidly rebuild society from scratch will beexplained. Speaker Bio:Dr. James ("Jim") C. Spohrer is IBM Director, Cognitive Opentech Group.Previously, he was Director of IBM Global University Programs,co-founded IBM Research Service Research area, ISSIP Service Sciencecommunity, and was CTO of IBM’s VC Group in Silicon Valley. At Apple Computer (1990’s), as a Distinguished Engineer Scientist andTechnologist, he developed next generation learning platforms. Earlier(1974-1989), he earned an MIT BS Physics, Yale PhD in CS/AI, and workedat Verbex, an Exxon company on speech recognitionand machine learning. With over ninety publications and nine patents,he is a PICMET Fellow and a winner of the Gummesson Service Researchaward as well as the Vargo&Lusch Service-Dominant Logic award.More information here:Sample presentation:https://www.slideshare.net/spohrer/future-20171110-v14Bio and CV: http://service-science.info/archives/2233
The majority of IBM’s offerings to customers include open technologies – and customers increasingly demand solutions based on open source code. Tens of thousands of IBMers have GitHub accounts
URLS:
Htttp://developer.ibm.com/code
What is beyond Exascale? Zetta (21), Yotta (24)
Time dimension (x-axis) is plus or minus 10 years….
Daniel Pakkala (VTT)
URL: https://aiimpacts.org/preliminary-prices-for-human-level-hardware/
Dan Gruhl:
https://www.washingtonpost.com/archive/business/1983/11/06/in-pursuit-of-the-10-gigaflop-machine/012c995a-2b16-470b-96df-d823c245306e/?utm_term=.d4bde5652826
In 1983 10 GF was ~10 million.
That's 24.55 million in today's dollars.
or 2.4 billion for 1 TF in 1983
Today 1 TF is about $3k http://www.popsci.com/intel-teraflop-chip
Source: http://service-science.info/archives/4741
O*NET Online is the occupation network online, started by the US Dept of Labor in the 1990’s – it now represents one of the most comprehensive lists of occupations along with a great deal of information about each occupation, including skills, tasks, certifications, demand for these jobs, etc.
O*NET lists about 1000 occupations from Accountants to Zoologists – and many job families in between. O*NET updates the descriptions of the occupations as well as adding new occupations over time.
Source:
http://www.onetonline.org/find/family?f=0
The nature of reality changes when there is more than one intelligent species, and we are not the smartest.
The nature of reality also changes when the cost of exploring alternate experience pathways are made less risky – the notions of time and identity changes as a result.
Mitigate risks and harvest benefits of existence, by learning to evermore efficiently and rapidly rebuild from scratch to higher states of value and capability of entities.
The evolving ecology of service system entities their value co-creation and capability co-elevation mechanisms, as well as their capabilities, constraints, rights, and responsibilities at each stage in time. Human progress as well as the development of individuals, and the arc of institutions can be viewed in this way. Entities exist as individuals and populations. Generations of entities, generations of species (populations), generations of individuals (cohorts).
By 2036, there will be an accumulation of knowledge as well as a distribution of knowledge in service systems globally. We need to ensure as there is knowledge accumulation that service systems at all scale become more resilient. Leading to the capability of rapid rebuilding of service systems across scales, by T-shaped people who understand how to rapidly rebuild – knowledge has been chunked, modularized, and put into networks that support rapid rebuilding.