A vision of the future from 2016 to year 2100 using Google's search box 'by year <nnnn>' - h/t xkcd / Randall Munroe

1. credits:
Randall Munroe xkcd.com
Full explanation & methodology>>
augmentation:
Ed Fernandez naiss.io
@efernandez

2. 2016: Windows overtakes iOS
seriously?

3. no… but somebody else will, eventually

6. 2017: China completes unmanned
lunar-sample return mission
2024:
Atlantis begins to reappear
Orangutans extinct in wild
China lands men and women on the moon
NASA sets up permanent moon base
Female professionals pass males in pay

7. Space X
Elon Musk is on his way to Mars

8. Why becoming an interplanetary species is so important
our children
2063
First human clones reach adulthood
Population of Moon reaches 100,000
Population of Mars reaches 10,000
Spacecraft exceed speed of light

9. 2018 Jesus returns to Earth
2032
"Big One" hits San Francisco
US elects first married lesbian President
Entire world converted to Christianity
2079
Religion is marginalized

10. singularity happens by 2049
Maslow’s pyramid of human needs gets an update
2049
$1.000 computer exceeds
computational ability of humanity
Singularity occurs
Fishing industry collapses

14. 2020
Key-boards
&
mice
become
obsolete
(we knew this already, see Magic Leap - back in slide 7)
2031 Computers controlled by thought
2050 cars banned from European cities
2045 humans & machines merge
2034 US build autonomous robot army

15. 2021 US unemployment falls to 2.8%
oh wait! I thought AI and the robot revolution were taking
our jobs
2056 Robots given same rights as man
2050 cars banned from European cities
2045 humans & machines merge
2034 US build autonomous robot army

16. just happened

17. 2031
Computers controlled by thought
Realtors replaced by technology
US Social Security trust fund exhausted
2025
HTML5 is
finished
[… by a deep learning
convolutional network]

19. When her best friend
died, she rebuilt him
using artificial intelligence
W
hen the engineers had at last finished their
work, Eugenia Kuyda opened a console on
her laptop and began to type.
“Roman,” she wrote. “This is your digital
monument.”
replika.ai

21. • Large-scale machine learningconcerns the design of learning algorithms, as well as scaling existing algorithms, to work with
extremely large data sets.
• Deep learning, a class of learning procedures, has facilitated object recognition in images, video labeling, and activity recognition, and is making signi cant inroads
into other areas of perception, such as audio, speech, and natural language processing.
• Reinforcement learning is a framework that shifts the focus of machine learning from pattern recognition to experience-driven sequential decision-making. It
promises to carry AI applications forward toward taking actions in the real world. While largely con ned to academia over the past several decades, it is now seeing some practical, real-
world successes.
• Roboticsis currently concerned with how to train a robot to interact with the world around it in generalizable and predictable ways, how to facilitate manipulation of objects
in interactive environments, and how to interact with people. Advances in robotics will rely on commensurate advances to improve the reliability and generality of computer vision and other
forms of machine perception.
• Computer vision is currently the most prominent form of machine perception. It has been the sub-area of AI most transformed by the rise of deep learning. For the rst time,
computers are able to perform some vision tasks better than people. Much current research is focused on automatic image and video captioning.
• Natural Language Processing, automatic speech recognition, is quickly becoming a commodity for widely spoken languages
with large data sets. Research is now shifting to develop re ned and capable systems that are able to interact with people through dialog, not just react to stylized requests. Great strides
have also been made in machine translation among di erent languages, with more real-time person-to-person exchanges on the near horizon.
• Collaborative systems research investigates models and algorithms to help develop autonomous systems that can work collaboratively with other systems
and with humans.
• Crowdsourcingand human computation research investigates methods to augment computer systems by making automated calls to human expertise to solve problems that
computers alone cannot solve well.
• Algorithmic game theoryand computational social choice draw attention to the economic and social computing dimensions of AI, such as how systems
can handle potentially misaligned incentives, including self-interested human participants or rms and the automated AI-based agents representing them.
• Internet of Things (IoT)research is devoted to the idea that a wide array of devices, including appliances, vehicles, buildings, and cameras,
can be interconnected to collect and share their abundant sensory information to use for intelligent purposes.
One Hundred Year Study on Artificial Intelligence (AI100)
Stanford UniversitySept 2016 - https://ai100.stanford.edu

22. BigML, Inc 18
Developers
Data Scientists
Everyone
Analys
ts
Academics & Researchers1950s
1980s
2000s
Weka, R, Orange, Knime, Scikit
2016
2020
2030
BigML, Azure ML, Amazon ML,
Google ML
H20, SkyTree, Dato, Spark
Machine Learning Evolution

23. the ‘Other’ predictions
2024 Atlantis begins to reappear
2026 Atlantis emerges completely
2048 Unisex bathing suits cover body from shoulder to ankle & Entire
US population is overweight
2050 Sex with robots possible
2053 Cars driven by dogs & majority of Americans in prison
2060 Oil runs out (again)
2062 Uganda holds World Cup
2068 Entire population gay by chemicals in water
2069 Public masturbation legalized
2100 Gillette introduces14-bladed razor *simultaneously to iPhone 93
2101 War was beginning

24. credits:
Randall Munroe xkcd.com
Full explanation & methodology>>
augmentation:
Ed Fernandez ed@ naiss.io
@efernandez