This document discusses how deep learning is changing the design process. It provides examples of how deep learning can be used for image recognition, facial recognition, drawing recognition, and generating text and stories. Deep learning is enabling new applications like using a camera to identify objects, automatically generating illustrations of a person's face, understanding handwritten notes, recognizing drawings, and creating rap songs from everyday objects. The document also discusses the history and development of artificial intelligence, machine learning, and deep learning.
In this session, I explain why user experience design for artificial intelligence matters. How you make machine learning transparent to users is one of the great design challenges of our time—but a necessary one.
2017 How Deep Learning Changes the Design Process (Update)Alexander Meinhardt
+ Updated version for UX Camp Hamburg #uxcamphh +
Deep learning is a new and exciting subfield of machine learning which attempts to sidestep the whole feature design process. In this session, I'll explain how it derives from AI, why it quietly became a part of user experience and how it will change the actual design workflow. The talk highlights a few examples and doesn't forget to illustrate why user experience design for artificial intelligence matters the other way around.
+ Updated version for NEXT Conference Hamburg +
https://nextconf.eu/event/how-deep-learning-is-changing-the-design-process/
Deep learning is a new and exciting subfield of machine learning which attempts to sidestep the whole feature design process. This session explains how it derives from AI, why it quietly became a part of user experience and how it also changes the actual design workflow. The talk highlights a range of use cases and doesn’t forget to illustrate why user experience design for artificial intelligence matters the other way around.
Holistic User Experiences: From Digital to Physical ProductsUXDXConf
Creating seamless experiences can have its challenges, particularly for the team in Geopagos where the experience goes beyond their digital products to physical devices.
In this talk, Juan will talk through his learnings on designing holistic experiences for the different products of Geopagos.
In this session, I explain why user experience design for artificial intelligence matters. How you make machine learning transparent to users is one of the great design challenges of our time—but a necessary one.
2017 How Deep Learning Changes the Design Process (Update)Alexander Meinhardt
+ Updated version for UX Camp Hamburg #uxcamphh +
Deep learning is a new and exciting subfield of machine learning which attempts to sidestep the whole feature design process. In this session, I'll explain how it derives from AI, why it quietly became a part of user experience and how it will change the actual design workflow. The talk highlights a few examples and doesn't forget to illustrate why user experience design for artificial intelligence matters the other way around.
+ Updated version for NEXT Conference Hamburg +
https://nextconf.eu/event/how-deep-learning-is-changing-the-design-process/
Deep learning is a new and exciting subfield of machine learning which attempts to sidestep the whole feature design process. This session explains how it derives from AI, why it quietly became a part of user experience and how it also changes the actual design workflow. The talk highlights a range of use cases and doesn’t forget to illustrate why user experience design for artificial intelligence matters the other way around.
Holistic User Experiences: From Digital to Physical ProductsUXDXConf
Creating seamless experiences can have its challenges, particularly for the team in Geopagos where the experience goes beyond their digital products to physical devices.
In this talk, Juan will talk through his learnings on designing holistic experiences for the different products of Geopagos.
Insight Types That Influence Enterprise Decision Makers (Christian Rohrer a...Rosenfeld Media
Christian Rohrer: "Insight Types That Influence Enterprise Decision Makers"
Enterprise UX 2015 • May 13, 2015 • San Antonio, TX, USA
http://enterpriseux.net
10 Things Every PHP Developer Should Know About Machine Learning10x Nation
Today’s PHP developers often hear about leveraging machine learning algorithms in order to build more intelligent applications, but many don’t know where to start.
One of the most important aspects of developing smart applications is understanding the underlying machine learning platforms, even if you aren’t the person building them. Whether you are integrating a recommendation system into your app or building a chat bot, this presentation will help you get started in understanding the basics of machine learning.
6 Rules to Designing Amazing Mobile Apps (@media 2011)Brian Fling
THE PATH TO CREATING MEMORABLE MOBILE EXPERIENCES
Building a mobile app isn’t easy. Regardless of chosen platform or technology creating a memorable mobile experience has some pretty intense challenges throughout. However if you can get it right it can have some incredible rewards and propel your brand in more ways than one. After spending ten years building mobile apps for some of the biggest companies in the world, author and mobile designer Brian Fling shares his six rules for building amazing apps that will either you get you started or improve upon your next release.
Reflecting on over 20 years of designing around mobile technology, products and services, Jason descibes some of the lessons he has learned along the way. He then uses these as a basis to help identify how these might help us identify new opportunities and tackle key challenges as we cerate new mobile solutions.
Digital Transformation agency MullenLowe Profero and their UK team take a look through the trends that will challenge brands and shape digital experiences in 2020.
Slide deck from ITP Unconference 2016.
I ran an introductory workshop on mobile UX that covered the basics of UX, mobile specific aspects of UX design, and how to get started fast
Technology Trends, Consumer Experience @MICA 2016Ravi Pal
Technology trends and consumer experience, how to build for new age experience? how do we understand experience and its architecture? what are the possible candidates to attack to build an impact using technology.
Artificial Intelligence Presentation.
loading………..
A.I.
Artificial Intelligence
ON TV
A.I?
What is
What’s possible?
FatherS OF A.I
John McCarthy,Allan turing,
The Turing's test.
How TO create an A.i. ? The Approaches
Fuzzy logic
Are we close to an A.I. ?
A.s.i.m.o.
advanced step in innovative mobility
self-driving car
google’s
what’s next?
the future of A.I.
ANY QUERIES?
https://masterpresenting.files.wordpress.com/2014/10/groundhog-day-funny-thank-you.png
A little history and examples for implementation of connected devices , data capture devices and SmartBluetooth (BLE) devices.
Examples include: TI Sensortag; Estimote; Sphero; iCamPro and tableau software.
To guard against errors, maintain uptime, and protect performance, it is critical to have visibility into your applications and systems. In this session, learn how DevOps enables us to build better systems by leveraging the perspectives of different teams to gain that visibility.
Openbar Leuven // Edge-Computing: On-device AI // Nick DestryckerOpenbar
AI is increasingly being implemented on-device instead of an implementation in the cloud. What is edge computing, Edge AI, why should we care and how to benefit from it? Expect an in-dept explanation, possible technical solutions and use cases to the current edge computing trend in the AI landscape.
Insight Types That Influence Enterprise Decision Makers (Christian Rohrer a...Rosenfeld Media
Christian Rohrer: "Insight Types That Influence Enterprise Decision Makers"
Enterprise UX 2015 • May 13, 2015 • San Antonio, TX, USA
http://enterpriseux.net
10 Things Every PHP Developer Should Know About Machine Learning10x Nation
Today’s PHP developers often hear about leveraging machine learning algorithms in order to build more intelligent applications, but many don’t know where to start.
One of the most important aspects of developing smart applications is understanding the underlying machine learning platforms, even if you aren’t the person building them. Whether you are integrating a recommendation system into your app or building a chat bot, this presentation will help you get started in understanding the basics of machine learning.
6 Rules to Designing Amazing Mobile Apps (@media 2011)Brian Fling
THE PATH TO CREATING MEMORABLE MOBILE EXPERIENCES
Building a mobile app isn’t easy. Regardless of chosen platform or technology creating a memorable mobile experience has some pretty intense challenges throughout. However if you can get it right it can have some incredible rewards and propel your brand in more ways than one. After spending ten years building mobile apps for some of the biggest companies in the world, author and mobile designer Brian Fling shares his six rules for building amazing apps that will either you get you started or improve upon your next release.
Reflecting on over 20 years of designing around mobile technology, products and services, Jason descibes some of the lessons he has learned along the way. He then uses these as a basis to help identify how these might help us identify new opportunities and tackle key challenges as we cerate new mobile solutions.
Digital Transformation agency MullenLowe Profero and their UK team take a look through the trends that will challenge brands and shape digital experiences in 2020.
Slide deck from ITP Unconference 2016.
I ran an introductory workshop on mobile UX that covered the basics of UX, mobile specific aspects of UX design, and how to get started fast
Technology Trends, Consumer Experience @MICA 2016Ravi Pal
Technology trends and consumer experience, how to build for new age experience? how do we understand experience and its architecture? what are the possible candidates to attack to build an impact using technology.
Artificial Intelligence Presentation.
loading………..
A.I.
Artificial Intelligence
ON TV
A.I?
What is
What’s possible?
FatherS OF A.I
John McCarthy,Allan turing,
The Turing's test.
How TO create an A.i. ? The Approaches
Fuzzy logic
Are we close to an A.I. ?
A.s.i.m.o.
advanced step in innovative mobility
self-driving car
google’s
what’s next?
the future of A.I.
ANY QUERIES?
https://masterpresenting.files.wordpress.com/2014/10/groundhog-day-funny-thank-you.png
A little history and examples for implementation of connected devices , data capture devices and SmartBluetooth (BLE) devices.
Examples include: TI Sensortag; Estimote; Sphero; iCamPro and tableau software.
To guard against errors, maintain uptime, and protect performance, it is critical to have visibility into your applications and systems. In this session, learn how DevOps enables us to build better systems by leveraging the perspectives of different teams to gain that visibility.
Openbar Leuven // Edge-Computing: On-device AI // Nick DestryckerOpenbar
AI is increasingly being implemented on-device instead of an implementation in the cloud. What is edge computing, Edge AI, why should we care and how to benefit from it? Expect an in-dept explanation, possible technical solutions and use cases to the current edge computing trend in the AI landscape.
The Tragic Flaws of Neural Networks | Jack FitzpatrickJack Fitzpatrick
Already, neural networks have come into being, utilizing artificial intelligence to eliminate the strain on human workers and optimize certain processes. While these networks are designed to alleviate some of the unnecessary exertion that plagues human workers, there are some potential issues that accompany this innovative technology.
Read the blog: http://jackfitzpatrick.io/the-tragic-flaws-of-neural-networks/
Organizations are loathe to accept that a rewrite is the only solution for modernizing a legacy application. After much analysis, discussions, deliberations, the decision is to demonolith the monolith!
Conceptually simple but often not feasible, the architecture, design, and implementation decisions makes it all but impossible to refactor-in-place and arrive at your destination.
Gain Maximum Visibility into Your Applications - DEM03 - Chicago AWS SummitAmazon Web Services
Visibility into your applications and systems is critical to guarding against errors, maintaining uptime, and protecting performance. In this session, we show how DevOps enables us to build better systems by leveraging the perspectives of different teams in order to gain that visibility. This session is brought to you by AWS partner, Datadog.
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What is Tokenization? Are tokens the future of ownership?
-
The advantage of token-based social networks, and why tokens will disrupt all forms of ownership.
Resonate (http://resonate.io) is a festival at the intersection of art, media and technology. Held each year in Belgrade, Serbia, the conference provides an overview of current situation in the fields of music, visual arts and digital culture.
This session walks through speakers and personal highlights of the 2017 conference.
This talk, made with Kristina Bonitz (@kristinabonitz), tries to highlight the differences within the conversational design landscape and shows benefits and drawbacks alongside current examples.
Chat bots are programs that mimic conversation with people sometimes using artificial intelligence. They can transform the way you interact with the web from a series of self-initiated tasks to a quasi-conversation.
(c) 2017
Modern interaction design - see Flat Design - is more than ever based on letters.
This talk highlights strong examples and explains how to achieve an aesthetic and powerful set of typography for any project, and how to handle it in the digital workflow.
"Tone of voice" is a super important instrument to build personality into digital products. It's not about copywriting, it's an expression of the brand identity.
The experience of the mobile home screen being a bank of app icons that lead to independent destinations is dying. And that changes how we need to design and build digital products.
In this talk I show current trends and examples and explain what it means for User Experience Design and for businesses.
Prototypes are one of the most important steps in the design process, yet still confusing for some designers and project teams.
This session, made with Iker Ortiz de Arri (@ikertxo), showcases our workflow approach, answers the question how to choose the right prototyping tool for a project and and compares some of the major players in this exploding landscape.
What are the main and also often underlooked differences between native app development and web technologies when building a mobile product? What is the current stare of technology in terms of combing both?
This talk, made with Iker Ortiz de Arri (@ikertxo), showcases benefits, drawbacks and similarities from an UX point of view. It also features PWA (progressive web apps), Android Instant Apps, React, and more.
OFFF Barcelona (http://offf.barcelona) is a post-digital culture festival.
This session walks through speakers and personal highlights of the 2016 conference.
In this talk presented at the Swipe x PAGE Academy (http://page-online.de), we gave an overview of the Swipe workflow building mobile products, from an UX/UI point of view.
http://swipe.de
This talk presented at the Swipe x PAGE Academy (http://page-online.de) is about my personal work manifesto for building teams, atmosphere and greater products at Swipe (http://swipe.de).
This session as part of the Swipe x PAGE Academy (http://page-online.de) gave examples of how we create UX/UI at Swipe (http://swipe.de) efficiently when building digital products.
This talk presented at the Swipe x PAGE Academy (http://page-online.de) is about my personal approach for getting design sold without too many sacrifices.
Did you ever tried to make a screenshot on a range of different android devices? Did your client ever?
In this talk presented at the Selfmade Lab (http://selfmadelab.de) in Hamburg, I looked back at my personal experiences building mobile products - in comparison to print and also web design.
APNIC Foundation, presented by Ellisha Heppner at the PNG DNS Forum 2024APNIC
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1.Wireless Communication System_Wireless communication is a broad term that i...JeyaPerumal1
Wireless communication involves the transmission of information over a distance without the help of wires, cables or any other forms of electrical conductors.
Wireless communication is a broad term that incorporates all procedures and forms of connecting and communicating between two or more devices using a wireless signal through wireless communication technologies and devices.
Features of Wireless Communication
The evolution of wireless technology has brought many advancements with its effective features.
The transmitted distance can be anywhere between a few meters (for example, a television's remote control) and thousands of kilometers (for example, radio communication).
Wireless communication can be used for cellular telephony, wireless access to the internet, wireless home networking, and so on.
Bridging the Digital Gap Brad Spiegel Macon, GA Initiative.pptxBrad Spiegel Macon GA
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This 7-second Brain Wave Ritual Attracts Money To You.!nirahealhty
Discover the power of a simple 7-second brain wave ritual that can attract wealth and abundance into your life. By tapping into specific brain frequencies, this technique helps you manifest financial success effortlessly. Ready to transform your financial future? Try this powerful ritual and start attracting money today!
Multi-cluster Kubernetes Networking- Patterns, Projects and GuidelinesSanjeev Rampal
Talk presented at Kubernetes Community Day, New York, May 2024.
Technical summary of Multi-Cluster Kubernetes Networking architectures with focus on 4 key topics.
1) Key patterns for Multi-cluster architectures
2) Architectural comparison of several OSS/ CNCF projects to address these patterns
3) Evolution trends for the APIs of these projects
4) Some design recommendations & guidelines for adopting/ deploying these solutions.
# Internet Security: Safeguarding Your Digital World
In the contemporary digital age, the internet is a cornerstone of our daily lives. It connects us to vast amounts of information, provides platforms for communication, enables commerce, and offers endless entertainment. However, with these conveniences come significant security challenges. Internet security is essential to protect our digital identities, sensitive data, and overall online experience. This comprehensive guide explores the multifaceted world of internet security, providing insights into its importance, common threats, and effective strategies to safeguard your digital world.
## Understanding Internet Security
Internet security encompasses the measures and protocols used to protect information, devices, and networks from unauthorized access, attacks, and damage. It involves a wide range of practices designed to safeguard data confidentiality, integrity, and availability. Effective internet security is crucial for individuals, businesses, and governments alike, as cyber threats continue to evolve in complexity and scale.
### Key Components of Internet Security
1. **Confidentiality**: Ensuring that information is accessible only to those authorized to access it.
2. **Integrity**: Protecting information from being altered or tampered with by unauthorized parties.
3. **Availability**: Ensuring that authorized users have reliable access to information and resources when needed.
## Common Internet Security Threats
Cyber threats are numerous and constantly evolving. Understanding these threats is the first step in protecting against them. Some of the most common internet security threats include:
### Malware
Malware, or malicious software, is designed to harm, exploit, or otherwise compromise a device, network, or service. Common types of malware include:
- **Viruses**: Programs that attach themselves to legitimate software and replicate, spreading to other programs and files.
- **Worms**: Standalone malware that replicates itself to spread to other computers.
- **Trojan Horses**: Malicious software disguised as legitimate software.
- **Ransomware**: Malware that encrypts a user's files and demands a ransom for the decryption key.
- **Spyware**: Software that secretly monitors and collects user information.
### Phishing
Phishing is a social engineering attack that aims to steal sensitive information such as usernames, passwords, and credit card details. Attackers often masquerade as trusted entities in email or other communication channels, tricking victims into providing their information.
### Man-in-the-Middle (MitM) Attacks
MitM attacks occur when an attacker intercepts and potentially alters communication between two parties without their knowledge. This can lead to the unauthorized acquisition of sensitive information.
### Denial-of-Service (DoS) and Distributed Denial-of-Service (DDoS) Attacks
5. „H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
EVERY ASPECT OF LEARNING
OR ANY OTHER FEATURE OF INTELLIGENCE
CAN BE SO PRECISELY DESCRIBED
THAT A MACHINE CAN BE MADE TO SIMULATE IT
J. McCarthy, Dartmouth College, 1956
8. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
AI landscape
THE TERMS ARTIFICIAL INTELLIGENCE
AND MACHINE LEARNING
ARE OFTEN USED INTERCHANGEABLY –
YET THEY AREN’T THE SAME
9. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Machine Learning
Machine learning is the ability to learn without
being explicitly programmed.
Programs that can learn from their own mistakes
and improve their performance over time.
10. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Machine Learning
Data mining
Image recognition
Facebook newsfeed
Netflix suggestions
Big Data analysis
Amazon suggestions
Predictive analytics
11. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Machine Learning
Notifications
Predictive Keyboards
Spam/Quality Control Systems
Copywriting
Design Patterns
Gesture Recognition
Content Actions/Feedback
Magic Numbers
Search
Related Content
Character Recognition
13. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
AI landscape
Artificial intelligence is becoming increasingly ubiquitous
within the technology industry, with capabilities that are
much more practical than most consumers may think.
19. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Deep Learning
Deep Learning is based on Artificial Neural
Networks.
These are systems that are designed to process
information in ways that are similar to the ways
biological brains work. It uses a certain set of
Machine Learning algorithms that run in multiple
layers.
21. „H O W D E E P
L E A R N I N G C H A N G E S
T H E D E S I G N
P R O C E S S
AI HAS BY NOW SUCCEEDED
IN DOING ESSENTIALLY EVERYTHING THAT
REQUIRES ‘THINKING’
BUT HAS FAILED TO DO MOST OF WHAT PEOPLE DO
‘WITHOUT THINKING.’
Donald Knuth, Stanford University
24. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Why it is important?
Google has decided to pivot its business model from that
simple mobile-first toward machine learning.
36. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Google Lens
Can an algorithm see what you see and help you take
action based on this information?
37. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Google Lens
Google Lens turns the camera from a passive tool
that’s capturing the world around you to one that’s
allowing you to interact with what’s in your camera’s
viewfinder.
41. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Photoeditor SDK
Can an algorithm extract foreground content
from its background?
42. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Photoeditor SDK
Professional image editing tools help you to select
distinctive objects, but, they aren’t available on your
mobile device, where you take and publish the images,
and they usually require some hands-on time, before
you can produce anything usable.
44. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Photoeditor SDK
45. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Adobe - Deep Image Matting
Can an algorithm extract foreground content
from its background – in movies too?
46. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Adobe - Deep Image Matting
Previous algorithms have poor performance when an
image has similar foreground and background colors
or complicated textures. With neural networks you
can extract foreground content from its background
intelligently and accurately - in movies. This might kill
the green screen.
51. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Entrupy
Can an algorithm help to spot a real
Chanel bag from a fake?
52. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Entrupy
Counterfeits are a painful thorn in the side of luxury
fashion brands but they can be even more of a
headache for digital re-sellers. Trying to spot a real
Chanel from a fake? Deep Learning tech can help.
53. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Entrupy
Entrupy is a portable scanning device that instantly detects
imitation designer bags by taking microscopic pictures that
take into account details of the material, processing,
workmanship, serial number, and wear/tear. It then employs
the technique of deep learning to compare the images
against a vast database that includes top luxury brands and
if the bag is deemed authentic, users immediately get a
Certificate of Authenticity.
55. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
EyeEm - Vision
Can an algorithm learn and suggest aesthetics
in a way an art director would?
56. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
EyeEm - Vision
What are aesthetics anyway? Is it just what you “like”?
How does it all work? When you as a human find it
hard to express what you like do you think a machine
going to find it easy?
57. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
EyeEm - VisionEyeEm - Vision
58. „H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S SANY SUFFICIENTLY ADVANCED TECHNOLOGY IS
INDISTINGUISHABLE FROM MAGIC.
Arthur C. Clarke, British science fiction writer
59. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Neural Storyteller
Can an algorithm make up stories from
any given image?
60. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Neural Storyteller
Neural Storyteller is an artificial intelligence
model that when given an image, can generate a
story about the image using features in the image.
61. Neural Storyteller
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
62. Neural Storyteller
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
63. Neural Storyteller
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
64. Neural Storyteller
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
65. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Rapto
Can an algorithm turn your normal day
into a rap song?
66. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Rapto
Rapto lets you create music using artificial
intelligence & your camera. Simply point the camera
towards any object around you and Rapto will use it's
inbuilt neural network to understand the object &
create rap music!
67. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Rapto
69. E P I C O R C H A P T E R
Subtopic or example
New versions of facial recognition technologies use
Deep Learning, as it is especially effective for image
recognition because it makes a computer zero in on
the facial features that will most reliably identify a
person.
72. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Google Allo
Can an algorithm create a Bitmoji for you on the fly?
73. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Google Allo
With Google Allo simply snap a selfie, and it’ll return
an automatically generated illustrated version of you,
on the fly.
76. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Nest Cam IQ
Can an algorithm detect strangers?
77. E P I C O R C H A P T E R
Nest Cam IQ
The Nest Cam IQ can differentiate between friends
and family members, or a stranger. Insights can range
from telling you the kids are home from school to
sending an alert if an unfamiliar person is in the living
room.
79. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
China & Russia
Can an algorithm register me at events?
80. E P I C O R C H A P T E R
China & Russia
In China, facial recognition technology is already
finding consumer applications.
In Russia, FindFace is an controversial an app used to
identify members of a crowd to match them with
social network accounts.
86. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Google Quick Draw
Can an algorithm understand what you are drawing?
87. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Google Quick Draw
88. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Google Quick Draw
89. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Google AutoDraw
Can an algorithm help to teach you drawing?
90. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Google AutoDraw
AutoDraw’s suggestion tool uses the same technology
used in QuickDraw, to guess what you’re trying to
draw. Right now, it can guess hundreds of drawings
and we look forward to adding more over time.
91. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Google AutoDraw
92. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Google AutoDraw
93. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
pix2pix
Can an algorithm take your drawings
to generate images?
94. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
pix2pix
Image-to-image is a Tensorflow port of pix2pix.
The pix2pix model works by training on pairs of
images such as building facade labels to building
facades, and then attempts to generate the
corresponding output image from any input image
you give it.
95. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
pix2pix
96. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
pix2pix
99. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Drawing music
Can an algorithm take your drawings
to generate music?
100. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Drawing music
Kene Cogan has built an experiment where a
classified musical object triggers an according
sound track in Ableton Live.
101. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Drawing music
103. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Style Transfer
Can an algorithm re-create complex aesthetics
and even fine art?
104. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Style Transfer
In fine art humans have mastered the skill to create unique
visual experiences through composing a complex interplay
between content and style.
Style Transfer is an artificial system that creates artistic
images of high perceptual quality.
112. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Logo Experiment
Can an algorithm generate logo artworks?
113. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Logo Experiment
Rob Peart tried to generate Death Metal
logos from Neural Networks ;)
121. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Logo Experiment
Can an algorithm generate logo artworks?
122. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
NVIDIA - Iray
Can an algorithm squeeze render times?
123. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
NVIDIA - Iray
NVIDIA brings AI to ray tracing to speed graphics
workloads. Upload your partially rendered image and
AI Renderer renders the rest for you.
By predicting final images from only partly finished
results, Iray AI produces accurate, photorealistic
models without having to wait for the final image to
be rendered.
126. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Autodesk - DreamCatcher
Can an algorithm generate product design
that solves complex problems?
127. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Autodesk - DreamCatcher
Dreamcatcher is a generative CAD system that
enables designers to craft a definition of their design
problem through goals and constraints.
128. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Autodesk - DreamCatcher
The three structural elements shown are all designed to carry
the same structural loads and forces.
129. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Autodesk - DreamCatcher
A Lightweight bike stem generated by an algorithm
130. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Autodesk - DreamCatcher
This is a car frame that is designed by a generative algorithm
131. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Autodesk - DreamCatcher
A a lightweight load-bearing engine block
133. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Objectifier
Can an algorithm help objects to respond to
human gestures?
134. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Objectifier
Objectifier empowers people to train objects in
their daily environment to respond to their unique
behaviors. It gives an experience of training an
artificial intelligence; much like training a dog -
you teach it only what you want it to care about.
Just like a dog, it sees and understands its
environment.
135. Objectifier
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
136. Objectifier
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
137. Objectifier
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
138. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Google Inbox - Smart Reply
Can an algorithm suggest email replies?
139. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Google Inbox - Smart Reply
When you're checking email on the go, it can be
cumbersome and time-consuming to reply to all or
even some of them. What if we can save mobile users
the hassle of tapping out answers on those tiny
keyboards?
142. „H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
I DIDN’T LEARN TO TALK
FROM A LINGUIST,
I LEARNED TO TALK
FROM HEARING OTHER PEOPLE TALK
Greg Corrado, Co-founder of Google Brain
144. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
What’s next?
Computers can now see, hear, and translate
languages with unprecedented accuracies.
They are also learning to generate images,
sound, and text.
145. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
What’s next?
However the systems we’re building still fall into the
category of “Narrow AI” — they can achieve super-
human performance in a specific domain, but lack
the ability to do anything sensible outside of it.
147. H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Open AI - UNIVERSE
148. „H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S SMACHINE LEARNING IS GOING TO UPEND YOUR
INDUSTRY AND YOUR PRODUCT.
Ken Norton, Google Ventures