5 AI Breakthroughs We’ll Likely See in the Next 5 Years
By Peter H. Diamandis, MD
April 26, 2019 -- Convergence is accelerating disruption…
everywhere! Exponential
technologies are colliding into each other, reinventing products, services,
and industries.
As AI algorithms such as Siri and Alexa can process your
voice and output helpful responses, other AIs like Face++ can recognize
faces. And yet others create art from scribbles, or even diagnose
medical conditions.
Let’s dive into AI and convergence.
Top 5 Predictions for AI Breakthroughs
(2019-2024)
My friend Neil Jacobstein is my
‘go-to expert’ in AI, with over 25 years of technical consulting experience in
the field. Currently the AI and Robotics chair at Singularity University
1.
AI gives
rise to new non-human pattern recognition and intelligence results
AlphaGo Zero,
a machine learning computer program trained to play the complex game of Go,
defeated the Go world champion in 2016 by 100 games to zero. But instead of
learning from human play, AlphaGo Zero trained by playing against itself—a
method known as reinforcement learning.
Building its own knowledge from scratch, AlphaGo Zero
demonstrates a novel form of creativity, free of human bias. Even more
groundbreaking, this type of AI pattern recognition allows machines to
accumulate thousands of years of knowledge in a matter of hours.
While these systems can’t answer the question “What is
orange juice?” or compete with the intelligence of a fifth grader, they are
growing more and more strategically complex, merging with other forms of narrow
artificial intelligence. Within the next five years, who knows what successors
of AlphaGo Zero will emerge, augmenting both your business functions and
day-to-day life.
2.
Doctors risk
malpractice when not using machine learning for diagnosis and treatment
planning
A group of Chinese and American
researchers recently created an AI system that diagnoses common
childhood illnesses, ranging from the flu to meningitis. Trained on electronic
health records compiled from 1.3 million outpatient visits of
almost 600,000 patients, the AI program produced diagnosis outcomes with
unprecedented accuracy.
While the
With an eye to the future, Jacobstein has predicted that
“we will soon see an inflection point where doctors will feel it’s a risk
to not use machine learning and AI in their everyday
practices because they don’t want to be called out for missing an important
diagnostic signal.”
3.
Quantum
advantage will massively accelerate drug design and testing
Researchers estimate that there are 1060 possible drug-like molecules—more
than the number of atoms in our solar system. But today, chemists must make
drug predictions based on properties influenced by molecular structure, then
synthesize numerous variants to test their hypotheses.
Quantum computing could transform this time-consuming,
highly costly process into an efficient, not to mention life-changing, drug discovery
protocol.
“Quantum computing is going to have a major industrial
impact… not by breaking encryption,” said Jacobstein, “but by making inroads
into design through massive parallel processing that can exploit superposition
and quantum interference and entanglement, and that can wildly outperform
classical computing.”
4.
AI
accelerates security systems’ vulnerability and defense
With the incorporation of AI into almost every aspect of
our lives, cyberattacks have grown increasingly threatening. “Deep attacks” can
use AI-generated content to avoid both human and AI controls.
Previous examples include
fake videos of former President Obama speaking fabricated sentences, and an
adversarial AI fooling another algorithm into categorizing a stop sign as a 45
mph speed limit sign. Without the appropriate protections, AI systems can be
manipulated to conduct any number of destructive objectives, whether ruining
reputations or diverting autonomous vehicles.
Jacobstein’s take: “We all have security systems on our
buildings, in our homes, around the healthcare system, and in air traffic
control, financial organizations, the military, and intelligence communities.
But we all know that these systems have been hacked periodically and we’re
going to see that accelerate. So, there are major business opportunities there
and there are major opportunities for you to get ahead of that curve before it
bites you.”
5.
AI design
systems drive breakthroughs in atomically precise manufacturing
Just as the modern computer transformed our relationship
with bits and information, AI will redefine and revolutionize our relationship
with molecules and materials. AI is currently being used to discover new materials
for clean-tech innovations, such as solar panels, batteries, and devices that
can now conduct artificial photosynthesis.
Today, it takes about 15 to 20 years to
create a single new material, according to industry experts. But as AI design
systems skyrocket in capacity, these will vastly accelerate the materials
discovery process, allowing us to address pressing issues like climate change
at record rates. Companies like Kebotix are
already on their way to streamlining the creation of chemistries and materials
at the click of a button.
Atomically precise manufacturing will enable us to
produce the previously unimaginable.
Final Thoughts
Within just the past three years, countries across the
globe have signed into existence national AI strategies and plans for ramping
up innovation. Businesses and think tanks have leaped onto the scene, hiring AI
engineers and tech consultants to leverage what computer scientist Andrew Ng
has even called the new ‘electricity’
of the 21st century.
As AI plays an exceedingly vital role in everyday life,
how will your business leverage it to keep up and build forward?
In the wake of burgeoning markets, new ventures will
quickly arise, each taking advantage of untapped data sources or unmet security
needs.
And as your company aims to ride the wave of AI’s
exponential growth, consider the following pointers to leverage AI and disrupt
yourself before it reaches you first:
1.
Determine where and
how you can begin collecting critical data to inform your AI algorithms
2.
Identify
time-intensive processes that can be automated and accelerated within your
company
3.
Discern which global
challenges can be expedited by hyper-fast, all-knowing minds
Remember: good data is vital fuel. Well-defined problems
are the best compass. And the time to start implementing AI is now.
Convergence is accelerating disruption… everywhere! Exponential
technologies are colliding into each other, reinventing products, services,
and industries.
As AI algorithms such as Siri and Alexa can process your
voice and output helpful responses, other AIs like Face++ can recognize
faces. And yet others create art from scribbles, or even diagnose
medical conditions.
Let’s dive into AI and convergence.Top 5 Predictions for AI Breakthroughs (2019-2024)
My friend Neil Jacobstein is my
‘go-to expert’ in AI, with over 25 years of technical consulting experience in
the field. Currently the AI and Robotics chair at Singularity University
1.
AI gives
rise to new non-human pattern recognition and intelligence results
AlphaGo Zero,
a machine learning computer program trained to play the complex game of Go,
defeated the Go world champion in 2016 by 100 games to zero. But instead of
learning from human play, AlphaGo Zero trained by playing against itself—a
method known as reinforcement learning.
Building its own knowledge from scratch, AlphaGo Zero
demonstrates a novel form of creativity, free of human bias. Even more
groundbreaking, this type of AI pattern recognition allows machines to
accumulate thousands of years of knowledge in a matter of hours.
While these systems can’t answer the question “What is
orange juice?” or compete with the intelligence of a fifth grader, they are
growing more and more strategically complex, merging with other forms of narrow
artificial intelligence. Within the next five years, who knows what successors
of AlphaGo Zero will emerge, augmenting both your business functions and
day-to-day life.
2.
Doctors risk
malpractice when not using machine learning for diagnosis and treatment
planning
A group of Chinese and American
researchers recently created an AI system that diagnoses common
childhood illnesses, ranging from the flu to meningitis. Trained on electronic
health records compiled from 1.3 million outpatient visits of
almost 600,000 patients, the AI program produced diagnosis outcomes with
unprecedented accuracy.
While the
With an eye to the future, Jacobstein has predicted that
“we will soon see an inflection point where doctors will feel it’s a risk
to not use machine learning and AI in their everyday
practices because they don’t want to be called out for missing an important
diagnostic signal.”
3.
Quantum
advantage will massively accelerate drug design and testing
Researchers estimate that there are 1060 possible drug-like molecules—more
than the number of atoms in our solar system. But today, chemists must make
drug predictions based on properties influenced by molecular structure, then
synthesize numerous variants to test their hypotheses.
Quantum computing could transform this time-consuming,
highly costly process into an efficient, not to mention life-changing, drug
discovery protocol.
“Quantum computing is going to have a major industrial
impact… not by breaking encryption,” said Jacobstein, “but by making inroads
into design through massive parallel processing that can exploit superposition
and quantum interference and entanglement, and that can wildly outperform
classical computing.”
4.
AI
accelerates security systems’ vulnerability and defense
With the incorporation of AI into almost every aspect of
our lives, cyberattacks have grown increasingly threatening. “Deep attacks” can
use AI-generated content to avoid both human and AI controls.
Previous examples include
fake videos of former President Obama speaking fabricated sentences, and an
adversarial AI fooling another algorithm into categorizing a stop sign as a 45
mph speed limit sign. Without the appropriate protections, AI systems can be manipulated
to conduct any number of destructive objectives, whether ruining reputations or
diverting autonomous vehicles.
Jacobstein’s take: “We all have security systems on our
buildings, in our homes, around the healthcare system, and in air traffic control,
financial organizations, the military, and intelligence communities. But we all
know that these systems have been hacked periodically and we’re going to see
that accelerate. So, there are major business opportunities there and there are
major opportunities for you to get ahead of that curve before it bites you.”
5.
AI design
systems drive breakthroughs in atomically precise manufacturing
Just as the modern computer transformed our relationship
with bits and information, AI will redefine and revolutionize our relationship
with molecules and materials. AI is currently being used to discover new
materials for clean-tech innovations, such as solar panels, batteries, and
devices that can now conduct artificial photosynthesis.
Today, it takes about 15 to 20 years to
create a single new material, according to industry experts. But as AI design
systems skyrocket in capacity, these will vastly accelerate the materials
discovery process, allowing us to address pressing issues like climate change
at record rates. Companies like Kebotix are
already on their way to streamlining the creation of chemistries and materials
at the click of a button.
Atomically precise manufacturing will enable us to
produce the previously unimaginable.
Final Thoughts
Within just the past three years, countries across the
globe have signed into existence national AI strategies and plans for ramping
up innovation. Businesses and think tanks have leaped onto the scene, hiring AI
engineers and tech consultants to leverage what computer scientist Andrew Ng
has even called the new ‘electricity’
of the 21st century.
As AI plays an exceedingly vital role in everyday life,
how will your business leverage it to keep up and build forward?
In the wake of burgeoning markets, new ventures will
quickly arise, each taking advantage of untapped data sources or unmet security
needs.
And as your company aims to ride the wave of AI’s
exponential growth, consider the following pointers to leverage AI and disrupt
yourself before it reaches you first:
1.
Determine where and
how you can begin collecting critical data to inform your AI algorithms
2.
Identify time-intensive
processes that can be automated and accelerated within your company
3.
Discern which global
challenges can be expedited by hyper-fast, all-knowing minds
Remember: good data is vital fuel. Well-defined problems
are the best compass. And the time to start implementing AI is now.
Peter H. Diamandis, MD
Executive
Founder, Singularity
University
Dr. Peter Diamandis was named by Fortune Magazine as one of
the World’s 50 Greatest Leaders.
He is Executive Founder of Singularity University, a Silicon Valley institution that counsels the world’s
leaders on exponentially growing technologies.
He is the Founder and Executive Chairman of the XPRIZE
Foundation which leads the world in designing and operating large-scale
incentive competitions.
Diamandis is also the Co-Founder and Vice-Chairman of Human
Longevity Inc. (HLI), a genomics and cell therapy-based company focused on
extending the healthy human lifespan.
In the field of commercial space,
Diamandis is Co-Founder and Co-Chairman of Planetary Resources, a company
designing spacecraft to enable the detection and prospecting of asteroid for
fuels and precious materials. He is the also Co-Founder of Space Adventures and
Zero Gravity Corporation.
Diamandis is a New York Times
Bestselling author of two books: Abundance – The Future Is Better Than You
Think and BOLD – How to Go Big, Create Wealth and Impact the World.
He earned degrees in Molecular Genetics
and Aerospace Engineering from the MIT, and holds an MD from Harvard Medical
School
His motto is, “The best way to predict the future is to create it yourself.”
His motto is, “The best way to predict the future is to create it yourself.”
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