Major technology companies are investing heavily in artificial intelligence as it rapidly advances. The top researchers in the field are working to develop increasingly powerful AI systems. While current AI has limitations, it is being incorporated into more applications and can be used in nearly any situation. The development of AI is accelerating and will be needed to make sense of big data, while also being informed by breakthroughs in neuroscience. Its rising capabilities may fully automate some jobs, so investing in AI could help companies adapt to these changes.

1. STARTUPS
Unleashing
human
potential

3. “The only way to
do great work is to
love what you
do”…

4. Passion

5. Optimism

6. Visualization

7. It needs to change…

8. 10 Signs
You Should Invest In
Artificial Intelligence

9. 1. Major Companies
Investing Big Money in AI
Google,Microsoft, Baidu, Ebay, Yahoo and Facebook also have
multiple large active AI developments underway, and the race
seems to be on to acquire systems, and the creative minds
behind them, by these companies

10. 2. Artificial Intelligence
Is Rapidly Advancing
 Pushed along by Moore's Law, artificial intelligence is
only just starting to fulfill it's long-hyped potential
 According to the Machine Intelligence Research Institute
(MIRI), that investigated the current size and past growth
of the AI field, as much as 10% of all computer science
research is currently directed towards AI.

11. 3. Arguably the World's Smartest
People Are Working in AI
 Marvin Minsky - In 1959 Minsky and John McCarthy founded what is now known as the
MIT Computer Science and Artificial Intelligence Laboratory. Minsky is the grandfather of
artificial intelligence, and is still working in the field.
 Ray Kurzweil - Kurzweil is an inventor, author of multiple books including The Singularity Is
Near and How to Create a Mind. He is well-known for developing the idea of the
technological Singularity. Kurzweil is now Director of Engineering at Google
 Demis Hassabis - Hassabis was a child prodigy in chess, and a master by age 13. He has
studied both computer science and neuroscience and is one of the founders of Deep Mind, a
company recently purchased by Google that uses machine learning and systems neuroscience
to build powerful general-purpose learning algorithms.
 Steve Omohundro - Omohundro is known for his research on Hamiltonian physics,
dynamical systems, programming languages, machine learning, machine vision, and the social
implications of artificial intelligence. He is featured in James Barrat's Our Final Invention.
 Ben Goertzel - Goertzel started college at age 15 and has been involved in many artificial
intelligence and transhumanist projects. His research work encompasses artificial general
intelligence, natural language processing, cognitive science, data mining, machine learning,
computational finance, bioinformatics, virtual worlds and gaming and other areas. He is
mainly involved with OpenCog, an open-source software initiative aimed at directly creating
Artificial General Intelligence (AGI).

12. 4. There is Still So Much
Room For Improvement
Just try talking to Siri or Google
Now, and you will soon be
confronted with the limitations
of the software. Undoubtedly
artificial intelligence
development has come a long
way, but there is a lot of work
to continue. This represents an
opportunity space for people
who can identify the trends
and the organizations that are
making the biggest leaps.

13. 5. Narrow Systems Can Be
Employed In Any Nearly
Situation

14. 6. AI Will Be Incorporated
More and More Into Other
Software
 The licensing of AI systems by apps, software and
operating systems represents a big way traditional
software will change in the next few years. Along with
breaking the paradigm of mouse and keyboard interaction,
rich, accurate and meaningful AI interaction will bring new
levels of productivity to digital work.
 Working with natural language, users will be able to
perform 'superfunctions' where the AI takes over and
performs much of the 'grunt work.' Competitive
advantage may be made for first movers, or for systems
that employ better AI subsystems.

15. 7. Robotics Developing
Rapidly
 Globally, robotic sales are rapidly increasing. China is said
to have increased robotic purchases by over 30 percent
per year for the last three years.
 Robots can be easier for workers to program and interact
with.
 Now, more advanced robots are gaining enhanced
senses, dexterity, and intelligence, thanks to accelerating
advancements in machine vision, artificial intelligence,
machine-to-machine communication, sensors, and
actuators.

16. 8. AI is Needed To Meet
the Demands of Big Data
 The shear scale of
information growth has
reached the point where
humans simply cannot
handle it without the aid
of intelligent computer
systems.
 AI could be the missing
link for the companies
struggling to get their
arms around big data.

17. 9. AI Development is
Accelerating In Tandem
With Breakthroughs in
Neuroscience
 There are two separate billion dollar projects now running with
major focuses on computational neuroscience: the US BRAIN
Initiative and the European Human Brain Project. Both
of these projects, along with the countless other advances being
made in neuroscience continue to impact the development of
artificial intelligence.
 One example of the relationship between neuroscience and
artificial intelligence is the development of neuromorphic
computing.

18. 10. If You Can't Beat
Them...
 Sophisticated software tools can be used to augment the
talents of highly skilled employees, and as more
knowledge worker tasks can be done by machine, it is
also true that some types of jobs could become fully
automated.
 The combinatorial effects of artificial intelligence are
already being experienced in nearly every industry. As
the systems continue to progress, the effects will increase
dramatically.

19. Thank you!
Gary A.
Fowler
Co-Founder,
GVALaunchGurus
gfowler@gvalg.c
om