The document discusses smart machines and related technologies. It provides definitions of smart machines from various sources and discusses how smart machines are enabled by technologies like cloud computing, big data, the internet of things, and robotics. Examples are given of different types of smart machines like movers (self-driving cars), doers (industrial robots), and sages (expert systems like IBM Watson). The growth and applications of smart machines in various industries are also summarized.
Smart machines include robots, self-driving cars and other cognitive computing systems that are able to make decisions and solve problems without human intervention.
Smart machines include robots, self-driving cars and other cognitive computing systems that are able to make decisions and solve problems without human intervention.
Tom Davenport, Distinguished Professor at Babson College and renown author made this presentation as part of the Cognitive Systems Institute Speaker Series on February 11, 2016.
Self-driving cars, drones, household robots, smart devices etc.. A perfect storm is emerging. But what will the next hype be called? Smart Machines is a strong contestant for the next hype. In 2004 it was Social Media, in 2007 Cloud Computing was coined and in 2011 everybody started talking and writing about Big Data. Four years have passed and year 2015 calls for the next hype building on top of existing ones. Enter Smart Machines.
The workshop - 'AI transforming Business' is conducted on 20-21st Feb 2019 at Chennai hosted by CII.in (Confederation of Indian Industry) for top Indian executives.
This is a 2-day full-time workshop focused on coaching delegates on Artificial Intelligence(AI), Transforming business with AI, AI Data Strategy and best practices from organizations leading AI adoption across the world.
Delegates attended include Ex-CEO and Vice Chair of Cognizant Mr. Lakshmi Narayanan, CEO and MD of Ameex, AVP of Infosys, MD and CEO Rane Group, Sr. General Manager of Blue Star, Joint General Manager of L&T and 30 more delegates from top management from manufacturing, agriculture banking, and healthcare.
Speaker: Ashok Kumar - AI Evangelist, Entrepreneur, Executives Coach, Ph.D. Scholar, MBA
Artificial Intelligence and Robotics in 2017Mike Quindazzi
Artificial Intelligence refers to the ability of a computer or a computer-enabled robotic system to process information and produce outcomes in a manner similar to the thought process of humans in learning, decision making and solving problems.
The future of artificial intelligence in manufacturing industriesusmsystems
For large industries such as gaming, banking, retail, commerce, and government. AI is widely used and slow in the manufacturing sector, facilitating industrial automation. AI-powered machines show an easy path to the future by providing some benefits — providing new opportunities, increasing production capacity and bringing machine technology closer to human interaction.
IoT in the combination of ML can help you automate your business and optimize the processes. Let's explore the future possibilities of combining ML with IoT.
The advent of artificial super intelligence and its impactsFernando Alcoforado
Artificial Super Intelligence will be the first technology to potentially surpass humans in all dimensions. Until now, human beings have had a monopoly on decision-making and therefore have control over everything. With Artificial Super Intelligence, this can end. A wide range of consequences can occur, including extremely good consequences and consequences as bad as the extinction of the human species.
Tom Davenport, Distinguished Professor at Babson College and renown author made this presentation as part of the Cognitive Systems Institute Speaker Series on February 11, 2016.
Self-driving cars, drones, household robots, smart devices etc.. A perfect storm is emerging. But what will the next hype be called? Smart Machines is a strong contestant for the next hype. In 2004 it was Social Media, in 2007 Cloud Computing was coined and in 2011 everybody started talking and writing about Big Data. Four years have passed and year 2015 calls for the next hype building on top of existing ones. Enter Smart Machines.
The workshop - 'AI transforming Business' is conducted on 20-21st Feb 2019 at Chennai hosted by CII.in (Confederation of Indian Industry) for top Indian executives.
This is a 2-day full-time workshop focused on coaching delegates on Artificial Intelligence(AI), Transforming business with AI, AI Data Strategy and best practices from organizations leading AI adoption across the world.
Delegates attended include Ex-CEO and Vice Chair of Cognizant Mr. Lakshmi Narayanan, CEO and MD of Ameex, AVP of Infosys, MD and CEO Rane Group, Sr. General Manager of Blue Star, Joint General Manager of L&T and 30 more delegates from top management from manufacturing, agriculture banking, and healthcare.
Speaker: Ashok Kumar - AI Evangelist, Entrepreneur, Executives Coach, Ph.D. Scholar, MBA
Artificial Intelligence and Robotics in 2017Mike Quindazzi
Artificial Intelligence refers to the ability of a computer or a computer-enabled robotic system to process information and produce outcomes in a manner similar to the thought process of humans in learning, decision making and solving problems.
The future of artificial intelligence in manufacturing industriesusmsystems
For large industries such as gaming, banking, retail, commerce, and government. AI is widely used and slow in the manufacturing sector, facilitating industrial automation. AI-powered machines show an easy path to the future by providing some benefits — providing new opportunities, increasing production capacity and bringing machine technology closer to human interaction.
IoT in the combination of ML can help you automate your business and optimize the processes. Let's explore the future possibilities of combining ML with IoT.
The advent of artificial super intelligence and its impactsFernando Alcoforado
Artificial Super Intelligence will be the first technology to potentially surpass humans in all dimensions. Until now, human beings have had a monopoly on decision-making and therefore have control over everything. With Artificial Super Intelligence, this can end. A wide range of consequences can occur, including extremely good consequences and consequences as bad as the extinction of the human species.
Contents:
Introduction
History
Definition
Examples
New Related Literature
Advantage
Disadvantage
Summary
Conclusion
HISTORY
The idea of AI as far back as ancient Greece. Greek myths speak of Hephaestus, a blacksmith who created mechanical servants.
Fast forward to 1935, when the earliest substantial work in this field was done by Alan Turing, a logician and compter pioneer.
-TURING MACHINE
1951: Christopher Strachey wrote the first successful AI program
- COMPUTER CHECKERS PROGRAM
1956: John McCarthy coined the term Artificial Intelligence
1963: ANALOGY, a program created by Thomas Evans, proved that computers can solve IQ test analogy problems
1967: First successful knowledge-based program in science and mathematics
1972: SHRDLU created by Terry Winograd
- Robot arm responded to commands
1987: Marvin Minsky publishes The Society of Mind, which portrays the brain as a series of cooperating agents
1997: A chess program, Deep Blue, beats the current world chess champion, Gary Kasparov
2000’s: Interactive robot smart toys are made commercially available
Define an Artificial Intelligence……. ?
EXAMPLES
1. Google Maps and Ride-Hailing Applications
2. Face Detection and Recognition
3. Text Editors or Autocorrect
4. Chatbots
5. Online-Payments
NEWS RELATED LITERATURE
ADVANTAGE
We hear specific technology terms more frequently, however some individuals may not know what they mean.
My goal is to help you understand the topics that are changing our world and will most likely continue to play an integral part in how we interact with technology.
JyotPrakash Gugnani, Student of sem 2 from department of journalism and mass communication, JIMS Vasant Kunj II talk about Areas of Artificial Intelligence. Have a Look!! For more updates: visit: jimssouthdelhi.com
Artificial Intelligence and Machine Learning Aditya Singh
Presented By JBIMS Marketting Batch (2017-2020).
Application Artificial Intelligence in MIS(Management Information System). Presented By Trilok Prabhakaran , Aditya Singh , Shashi Yadav, Vaibhav Rokade. Presentation have live cases of two different industry.
What if Things Start to Think - Artificial Intelligence in IoTMuralidhar Somisetty
Artificial intelligence will be functionally necessary to wield the vast number of connected “things” online, and will be even more important in making sense of an almost endless sea of data streamed in from these devices.
We have never lived in a world of faster and more wide-reaching technology innovations.
Our jobs, businesses, and how we operate as societies are being transformed by
technology, and the current global pandemic is only fast-tracking the digital
transformation. With this post, I want to delve into the top 10 tech trends that are driving the 4th Industrial Revolution, and that will define the next decade.
Similar to Smart Machines -presentation, Dec 2014 (20)
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
The Metaverse and AI: how can decision-makers harness the Metaverse for their...Jen Stirrup
The Metaverse is popularized in science fiction, and now it is becoming closer to being a part of our daily lives through the use of social media and shopping companies. How can businesses survive in a world where Artificial Intelligence is becoming the present as well as the future of technology, and how does the Metaverse fit into business strategy when futurist ideas are developing into reality at accelerated rates? How do we do this when our data isn't up to scratch? How can we move towards success with our data so we are set up for the Metaverse when it arrives?
How can you help your company evolve, adapt, and succeed using Artificial Intelligence and the Metaverse to stay ahead of the competition? What are the potential issues, complications, and benefits that these technologies could bring to us and our organizations? In this session, Jen Stirrup will explain how to start thinking about these technologies as an organisation.
2. Top 10 Strategic Technology Trends for 2014
● Web-Scale IT
● Smart Machines
● 3D Printing
● The Era of Personal Cloud
● Software-Defined Anything
● Mobile Device Diversity and Management
● Mobile Apps and Applications
● The Internet of Everything
● Hybrid Cloud & IT as a Service Broker
● Cloud/Client Architecture
www.smartmachines.fi
3. Top 10 Strategic Technology Trends for 2015
● Computing Everywhere
● The Internet of Things
● 3D Printing
● Advanced, Pervasive and Invisible Analytics
● Contex-Rich Systems
● Smart Machines
● Cloud/Client Computing
● Software-Defined Applications and Infrastructure
● Web-Scale IT
● Risk-Based Security and Self-Protection
www.smartmachines.fi
4. Smart Machines gets attention
Smart machines has been getting more and more attention:
● Hype Cycle of Smart Machines released
Gartner, Jul 2014
● McKinsey writes about Smart Machines
McKinsey Quarterly, Sep 2014
● Economist writes about Smart Machines
“The Age of Smart Machines”, May 2014
● IBM published a book about Smart Machines
“Smart Machines: IBM’s Watson and the Era of Cognitive Computing”, Oct 2013
www.smartmachines.fi
5. Must read book about the topic
www.smartmachines.fi
The Second Machine Age: Work, Progress,
and Prosperity in a Time of Brilliant
Technologies
Brynjolfsson, McAfee
6. Good to read book about the topic
www.smartmachines.fi
The Intelligent Web: Search, smart
algorithms, and big data
G. Shroff
7. Definition of Smart Machines
“Smart machines include robots, self-driving cars and other cognitive computing systems that are able to
make decisions and solve problems without human intervention.”
Techtarget.com
“[Smart Machines are]...contextually aware, intelligent personal assistants, smart advisors (such as IBM
Watson), advanced global industrial systems and public availability of early examples of autonomous
vehicles”
Gartner
“...a smart machine is an intelligent device that uses machine-to-machine (M2M) technology. Smart
machines include robots, self-driving cars and other cognitive computing systems that are able to make
decisions and solve problems without human intervention.”
Techtarget.com
www.smartmachines.fi
8. What are Smart Machines?
1. Observe
learn by observing
2. Tests
test the real world
3. Autonomous
behave autonomously
4. Probabilistic
making decision based on probabilities
5. Predicts
predict the future based on models and calculations
6. Purpose
narrow in purpose, each machine has its own purpose and there are different machines for different purposes
7. Understands
appear to understand concepts, relationships, causalities
8. Human reaction
“I didn’t know a machine could do that!”
https://www.youtube.com/watch?v=Z4kfdkCFQ2g
www.smartmachines.fi
Gartner tried to answer the
question in Jul 2014
9. What are Smart Machines?
● Smart Machines are technologies that:
○ Deal with high levels of complexity and uncertainty
○ Decision making based on probabilistics
○ Understanding of task-specific contexts
○ Multitude of uses
○ Some gauge person’s feelings by examining facial
movements etc.
http://gartnernews.com/smart-machine-disruption-will-dominate-this-decade/
www.smartmachines.fi
10. 3 D’s of Smart Things
http://gartnernews.com/three-emerging-trends-drive-digital-business/
www.smartmachines.fi
Gartner is also talking about “Smart Things”
11. New technologies are enablers
● The idea of Smart
Machines is not new,
but now the time is
right
→ Perfect storm
combination of technologies and concepts are mature enough
www.smartmachines.fi
12. Innovations are the key
● Most important innovations will be combinatory
innovations*
● Creative destruction will face those not willing or
able to take action
● The pace of change might be surprisingly fast
www.smartmachines.fi * The Second Machine Age, Brynjolfsson & McAfee
13. Phases of competition
1. Wondering
○ These machines are amazing!
2. Innovations, phase 1
○ Changing the way business is done within existing industries
3. Innovations, phase 2
○ Creating new industries
4. Innovations, phase 3
○ Destruction of old industries / business models
5. The Age of Ecosystems
○ High-technologization of industries, ecosystem-level competition
www.smartmachines.fi
14. Timing and technology
● Smart Machines is built on top of existing
technologies and innovations
○ Cloud computing
○ Big data
○ Internet of Everything
○ Robotics
www.smartmachines.fi
15. Categories
Cloud computing
● IaaS
● PaaS
● SaaS
XaaS
Big Data
● Volume
● Variety
● Velocity
multiple other V’s
Internet of Everything
● People
● Things
● Places
● Information
Robotics
● Industrial
● Service
● Consumer
Smart Machines is a combination of existing technologies and concepts
www.smartmachines.fi
18. The Role of Cloud Computing
● Cloud Computing is an enabler of Smart Machines
“Imagine a robot that finds an object that it's never seen or used
before—say, a plastic cup. The robot could simply send an
image of the cup to the cloud and receive back the object’s
name, a 3-D model, and instructions on how to use it”
J. Kuffner, Google
www.smartmachines.fi IEEE: Jan 2011, http://spectrum.ieee.org/automaton/robotics/robotics-software/cloud-robotics
20. Quote: Ken Goldberg,
Berkeley University
“Robot learning is going to be greatly accelerated.
Putting it a little simply, one robot can spend
10,000 hours learning something, or 10,000
robots can spend one hour learning the same
thing.”
www.smartmachines.fi http://bits.blogs.nytimes.com/2014/10/25/the-robot-in-the-cloud-a-conversation-with-ken-goldberg
21. Division of execution
Onboard execution
➢ Simple, repetitive tasks
➢ Motorics
➢ Tasks related to events
www.smartmachines.fi
that always demand
immediate response
Cloud execution
➢ Complex tasks
➢ Machine learning
➢ Tasks that demand compute-or
memory-intensive analytics
22.
23. The Role of Big Data
● Cloud Services provide scalability
“Amazon Kinesis is a fully managed service for real-time processing of
streaming data at massive scale. Amazon Kinesis can collect and
process hundreds of terabytes of data per hour from hundreds of
thousands of sources, allowing you to easily write applications that
process information in real-time, from sources such as web site click-streams,
marketing and financial information, manufacturing
instrumentation and social media, and operational logs and metering
data.”
An Inside Look at Google BigQuery
www.smartmachines.fi http://aws.amazon.com/kinesis/
24. The Role of Big Data
● Advanced Analytics helps to model and predict the
future
“Machine learning–mining historical data with computer systems to
predict future trends or behavior–touches more and more lives every
day. Search engines, online recommendations, ad targeting, virtual
assistants, demand forecasting, fraud detection, spam filters–machine
learning powers all these modern services. But these uses barely
scratch the surface of what's possible.”
Microsoft Azure Machine Learning
www.smartmachines.fi http://azure.microsoft.com/en-us/services/machine-learning/
25. Watson as a cloud service
● IBM Watson is available as a cloud service (Sep
2014)
“In the future a cleaning robot in the hospital corridor
connected to Medical Watson might be able to give you
more precise diagnosis and prognosis than the doctor
who you are waiting to see.”
www.smartmachines.fi
26.
27. Sales of Industrial Robots
Record high sales of industrial
robots in 2013
Worldrobotics.org: http://www.worldrobotics.org/uploads/tx_zeifr/June_04__2014_PI_IFR_World_Robot_Market.pdf
www.smartmachines.fi
28. Sales of Service Robots
“Turning to the projections for the period of 2013 to 2016, sales forecast which
were provided by companies worldwide indicate an increase to about 94,800
units with an estimated value of US$ 17.1 billion.
Thereof, about 28,000 robots for defense applications are expected to be sold
in the period of 2013 to 2016. They are followed by milking robots with about
24,500 units. However, this is probably a rather conservative estimate. These
two service robot groups make up 55% of the total forecast of service robots at
the current time.”
www.smartmachines.fi
Worldrobotics.org: http://www.ifr.org/service-robots/statistics/
29. Sales of Domestic Service Robots
...vacuum and floor cleaning, lawn-mowing
robots, and entertainment
and leisure robots, including toy
robots, hobby systems, education and
research.
www.smartmachines.fi Worldrobotics.org: http://www.ifr.org/service-robots/statistics/
30. Drones - soon flying everywhere
No piloting skills required
The eBee takes off, flies and lands
autonomously.
The artificial intelligence incorporated in the
senseFly autopilot continuously analyzes data
from the Inertial Measurement Unit and the
onboard GPS and takes care of all aspects of
the flight mission.
https://www.sensefly.com/drones/ebee.html
www.smartmachines.fi
31. Autonomous vehicles create
creative destruction
Jobs will be lost and new ones created.
Gartner
www.smartmachines.fi https://atmelcorporation.wordpress.com/2014/10/08/gartner-smart-machine-disruption-will-dominate-this-decade/
32. Consumer robotics
Jibo
kickstarter project, shipping 2015
What is Jibo? It’s a little pod with a motorized
swivel, equipped with cameras, microphones
and a display. It recognizes faces and voices,
and can act as a personal assistant by setting
reminders, delivering messages and offering to
take group photos. It also serves as a
telepresence robot for video chat.
Time.com
https://www.indiegogo.com/projects/jibo-the-world-s-first-family-robot
www.smartmachines.fi
34. Smart, connected things
● Harward Business Review (Nov 2014)
“Embedded sensors, processors, software, and
connectivity in products, coupled with a product cloud in
which product data is stored and analyzed and some
applications are run, are driving dramatic improvements
in product functionality and performance”
www.smartmachines.fi HBR: https://hbr.org/2014/11/how-smart-connected-products-are-transforming-competition
35. IBM SyNAPSE chip
● Computer chip imitating the
brain (introduced in Aug 2014)
The architecture can solve a wide class of problems
from vision, audition, and multi-sensory fusion, and has
the potential to revolutionize the computer industry by
integrating brain-like capability into devices where
computation is constrained by power and speed.
IBM: http://www.research.ibm.com/cognitive-computing/neurosynaptic-chips.shtml
www.smartmachines.fi
36. Intel Edison
● Remember Raspberry Pi?
● Intel Edison takes tiny
computers to the next level
● It can be the brains of almost
any device (width is only 35 mm)
The Intel® Edison development platform is the first
in a series of low-cost, product-ready, general
purpose compute platforms that help lower the
barriers to entry for entrepreneurs in the Internet of
Things (IoT).
Intel: http://www.intel.com/content/www/us/en/do-it-yourself/edison.html
www.smartmachines.fi
3,5 cm
37. Spark
● Spark is a Wi-Fi development
kit for connecting devices aka
“things” to internet
The Spark Core is our tiny Wi-Fi development kit
that helps you build a connected product in hours,
not weeks. The Spark Core is hooked to the Cloud
out of the box, and the entire design is open
source.
Spark: https://www.spark.io/
www.smartmachines.fi
43. Sages
IBM Watson beating top human players in Jeopardy 2011
www.smartmachines.fi IBM: http://www.ibm.com/smarterplanet/us/en/ibmwatson/what-is-watson.html
44. Categories of Smart Machines
● Expert systems (sages)
○ Example: IBM “Watson”
by Technavio
● Autonomous robots (movers, doers)
○ Example: Google “Self-Driving car”
● Intelligent assistants (helpers?)
○ Examples: Apple “Siri”, Microsoft “Cortana”
www.smartmachines.fi Technavio: Oct 2014, http://www.technavio.com/blog/know-your-robots-top-three-types-of-smart-machine
45. Categories of Smart Machines
Categorization 1
by IBM
www.smartmachines.fi
Categorization 2
by Technavio
Sages Expert Systems
Movers Autonomous Robots
Doers Intelligent Assistants
46. Problem solving with Expert System
Problem Definition
System Design
Formalization
System Implementation
System Validation
www.smartmachines.fi Technavio: Oct 2014, http://www.technavio.com/blog/know-your-robots-top-three-types-of-smart-machine
47. Characteristics of Autonomous Robot
● Self-Maintenance
● Ability to sense the environment (sensors)
● Ability to perform physical tasks (motorics)
● Ability to navigate point to point (movement)
www.smartmachines.fi Technavio: Oct 2014, http://www.technavio.com/blog/know-your-robots-top-three-types-of-smart-machine
48. 5 Generations of virtual assistants
First Generation
based on text, low-quality end-user interface
Second Generation
interactive moving, cartoon type characters, text-to-text, only little speech
Third Generation
animation, responses to speech, functionality to measure response accuracy
Fourth Generation
quality animated characters, dashboards, analytics, mobile solutions, high accuracy
Fifth Generation
3D images, extraordinary accuracy, requests feedback, full speech-to-speech support
www.smartmachines.fi Technavio: Oct 2014, http://www.technavio.com/blog/know-your-robots-top-three-types-of-smart-machine
49. Google Brain
● Artificial Intelligence (AI) is gaining a lot of
attention
Building High-level Features
Using Large Scale Unsupervised Learning
Our high-level detectors also outperform standard baselines in terms
of recognition rates, achieving 74.8% and 76.7% on cat and human
body respectively. In comparison, best linear filters (sampled from
the training set) only achieve 67.2% and 68.1% respectively.
Stanford & Google -paper Jul 2012
Cat face drawn by computer base on
looking at cat images from Youtube.
www.smartmachines.fi http://arxiv.org/pdf/1112.6209v5.pdf
50. Wearables, augmented reality
“Clothing and accessories incorporating computer and advanced
electronic technologies”
Wikipedia, Sep 2014
Google Glass
www.smartmachines.fi
Apple Watch
51. Wearables, categories
1. Lifestyle
○ enhancing and simplifying everyday tasks and activities
2. Entertainment
○ providing enjoyment and entertainment to the user
3. Health & Fitness
○ giving insight to the user by showing personal body data
Global market of wearable to reach £30B by 2018
www.smartmachines.fi http://wearableworldnews.com/2014/05/06/wearable-world-taxonomy
52. Exoskeletons
● “A powered exoskeleton, also known as powered armor, exoframe, or
exosuit, is a mobile machine consisting primarily of an outer framework
(akin to an insect's exoskeleton) worn by a person, and powered by a
system of motors or hydraulics that delivers at least part of the energy
for limb movement.”
Wikipedia
● Gaining a lot of attention with huge possibilities to offer (ie ReWalk*)
*ReWalk helps paralyzed people to walk again. It had a successful IPO on Nasdac in Sep 2014
www.smartmachines.fi http://wearableworldnews.com/2014/05/06/wearable-world-taxonomy
53. Role of Smart Machines
● Assist people
● Advise people
● Observe and help people
● Extend people
...
● Replace people?
www.smartmachines.fi IBM: Oct 2013, http://www.ibmbigdatahub.com/blog/rise-smart-machines-nothing-fear-now-austin
54.
55. The Future of Employment
“According to our estimate, 47 percent of total US
employment is in the high risk category,
meaning that associated occupations are
potentially automatable over some unspecified
number of years, perhaps a decade or two“
The future of employment: how suspectible are jobs to computerisation?
Frey & Osborne, Oxford Martin School
Oxford Martin School: Sep 2013, http://www.oxfordmartin.ox.ac.uk/downloads/academic/The_Future_of_Employment.pdf
www.smartmachines.fi
56. Jobs will be lost
“One in three jobs will be taken by [Smart
Machines] by 2025“
Peter Sondergaard, Gartner research director, Oct 2014
http://www.computerworld.com/article/2691607/one-in-three-jobs-will-be-taken-by-software-or-robots-by-2025.html
www.smartmachines.fi
57. What next?
● Innovations
● Investments
● Creative destruction
● New skills needed
www.smartmachines.fi twitter.com/immon