MBA 674 Final Research Paper Livengood Harnessing Entrepreneurial Spirit .pdf
EXPERIENCE THE FUTURE OF WORK FOR FUTURE OF BUSINESSES
1. TECHNOLOGY
LEADING
2050
BUSINESSES
N E W T E C H S I N
G L O B A L M A R K E T
FUTURE OF WORK
Computing Power
Quantum Computing
Genomics
MetaVerse
Blockchain
Agri Automation
5G
Sustainable Future
Hybrid Workforce
Marketing
Manufacturing
CyberSecurity
Robotics Intelligence
Datafication
Artificial Intelligence
AI Stethoscope
NVIDIA AI CENTER
4. Nvidia plans to build a $200 million AI
center in Indonesia amid push into
Southeast Asia
Nvidia will partner with the telecommunications firm Indosat
Ooredoo Hutchison for the project expected to bolster local
telecommunications infrastructure and digital talent, according to
Indonesia’s communication minister.
The U.S. tech giant’s increased presence in Indonesia represents a
broader push into Southeast Asia this year as data demand in the
region booms on the back of the growing digital economy.
Southeast Asia has proved to be a major revenue driver for Nvidia. A
U.S. Securities and Exchange Commission filing last year showed that
about 15% or $2.7 billion of the company’s revenue for the quarter
ended October came from Singapore.
5. An AI Stethoscope’s New Algorithm To Predict Heart Failure
Gets FDA Clearance : Eko Health Announces Large-Scale
Deployment of AI Heart Disease Detection Technology
Heart disease remains the number one killer of
Americans, with nearly 700,000 people dying each
year. Over 6 million Americans are estimated to
live with heart conditions–though they may not
know it. But about half of them have a risk factor
where their heart isn’t pumping blood as effectively
as it could be — what doctors call “low ejection
fraction.” Catching this early can mean prevention
of more serious heart conditions, but it often goes
undetected because there are few symptoms.
Eko Health, a startup that creates digital
stethoscopes and their software, aims to change
that. On Tuesday, the Food and Drug
Administration cleared an algorithm co-developed
by the Mayo Clinic and Eko which can help Eko’s AI
stethoscopes accurately detect low ejection
fraction. (A clinical study found it was able to
correctly identify it about 85% of the time.) This
could enable primary care physicians who use
Eko’s stethoscopes to identify at-risk patients
during routine checkups–possibly even before any
symptoms of heart failure are present.
“Physicians get an early warning for heart disease,”
Eko CEO Connor Landgraf told Forbes. “And we can
actually help get the patients to the cardiologist or
the pulmonologist or surgery or whatever that
intervention is a lot sooner.”
Founded in 2013, Eko Health has sold over 500,000
of its digital stethoscopes. The company has raised
$125 million in venture backing to date, and its
valuation is estimated at $415 million, according to
Pitchbook. The Mayo Clinic is an investor in the
company through its venture arm, as are ARTIS
Ventures, 3M’s venture arm and Highland Capital
Partners, among others.
This isn’t Eko’s first FDA approval. In 2020, the
agency also gave a green light to algorithms that
can accurately detect atrial fibrillation and heart
murmurs, both of which can be early warning signs
of more serious conditions such as heart failure
and strokes.
6. Tesla to explore locations in India for
$3 billion EV factory, FT reports
Tesla will explore locations in India this month to set up an
electric vehicle factory with an investment of up to $3 billion,
according to a Financial Times report, in a boost to Prime Minister
Narendra Modi’s plans to bolster domestic manufacturing.
8. D-Wave Quantum Inc., one of the leading quantum hardware companies in the
quantum computing industry, has recently published a paper in collaboration with
Boston University in the biggest quantum programmable quantum simulation so
far. Using 5,000 qubits from the D-Wave
According to Gema García Gonzalez, Director of
Corporate Venturing, Open Innovation, and
Technology Business Development at Repsol, who is
working on proof-of-concept testing with
Qilimanjaro, Repsol believes the partnership will
accelerate getting solutions to market focused on
decarbonization and help reach the company’s goal
of zero net carbon emissions by 2050.
Albert Solana, Director
Technology Business Development at Repsol
In the future, technology will
enable consumers to collect
and save energy at the
individual level from their
solar panels and bio waste,
and then sell the excess they
capture back to energy
companies and municipal
power grids. Massive amounts
of data will be required to
optimize the pricing
dynamically, by time of day,
season, and location.
Quantum
Simulation
using 5,000
Qubits from
the D-Wave
5
9. IBM Quantum systems
scale up towards the
stated goal of 4,000+
qubits by 2025 and
beyond, they will go
beyond the current
capabilities of existing
physical electronics.
At the February 2023
Mobile World Congress,
IBM’s booth featured the
claim “We’re charting the
roadmap for quantum-
safe networks that
protect user data”.
This system is targeted to be online by the end of 2023 and will be a building block of quantum-centric
supercomputing — the next wave in quantum computing which scales by employing a modular architecture
and quantum communication to increase its computational capacity, and which employs hybrid cloud
middleware to seamlessly integrate quantum and classical workflows.
IBM Unveils 400 Qubit-Plus
Quantum Processor and
Next-Generation IBM
Quantum System Two
Dario Gil, Jay Gambetta and Jerry Chow holding the new 433 qubit ‘IBM Osprey’ processor in image
10. Bard was an entirely new concept, the AI chat service that was
launched was powered by Google's Language Model for Dialogue
Applications (LaMDA), which was unveiled two years prior.
Bard seeks to combine the breadth of the world’s knowledge with
the power, intelligence and creativity of our large language
models. It draws on information from the web to provide fresh,
high-quality responses. Bard can be an outlet for creativity, and a
launchpad for curiosity, helping you to explain new discoveries
from NASA’s James Webb Space Telescope to a 9-year-old, or
learn more about the best strikers in football right now, and then
get drills to build your skills.
AI technologies — like LaMDA, PaLM, Imagen and MusicLM — are
building on this, creating entirely new ways to engage with
information, from language and images to video and audio. We’re
working to bring these latest AI advancements into our products,
starting with Search.
Bard was unveiled on
Feb 6 2023 in a statement from
Google and Alphabet CEO Sundar Pichai.
SUNDER PICHAI
Chief Executive Officer
Google
“We clearly have more capable models,”
Pichai said in an interview on The New
York Times’ Hard Fork podcast. “Pretty
soon, perhaps as this [podcast] goes live,
we will be upgrading Bard to some of our
more capable PaLM models, which will
bring more capabilities; be it in reasoning,
coding, it can answer maths questions
better. So you will see progress over the
course of next week.”
7
11. When looking for insights, AI features in Search can
distill information to help you see the big picture.
When looking for insights, AI features in Search can distill
information to help you see the big picture.
AI can be useful in synthesising ideas. Soon, you'll notice AI-powered search capabilities that
condense complicated data and different viewpoints into digestible formats. Users can easily
grasp the overall picture and learn more via the internet, whether that means looking for other
viewpoints like blogs from individuals who play both the piano and the guitar or diving deeper
into a related subject like how to start as a beginner. Soon, Google Search will start implementing
these new AI capabilities.
With innovation and prudent in Bard’s approach, whether it is using AI to drastically improve our
own products or making these potent capabilities available to others. And it's only the
beginning; in the next weeks and months, there will be further developments in each areas.
12. "While less capable than humans in many
real-world scenarios, [GPT-4] exhibits
human-level performance on various
professional and academic benchmarks,"
OpenAI wrote in its press release, adding
that the language model scored a
700/800 on the math SAT.
GPT-4 can now read, analyze or generate
up to 25,000 words of text and is
seemingly much smarter than its previous
model. GPT-4 scored in the 90th
percentile on the Uniform Bar Exam. Its
previous model scored in the 10th,
according to OpenAI.
OpenAI CEO, CTO on risks and
how AI will reshape society
Baidu Inc. unveiled its much anticipated AI-
Powered Chatbot Known as Ernie Bot. It is Now
available to a Limited number of users who apply
for access code
Telecom Giant Huawei Technologies has the
pangu series of AI Model Whose applications
range from drug development to computer vision
Alibaba Group Holding Ltd on Tuesday showed
off its generative AI model - its version of the tech
that powers chatbot sensation ChatGPT - and said
it would be integrated into all of the company's
apps in the near future.
Markets on BOOM
IS Chat GPT Going to Became the
Biggest Market Mover in the
Technological History ?
13. ChatGPT became transformative
in the business landscape
Are enterprises ready for the new era of
generative AI, even just careful experimentation,
as Forrester recommends?
According to the Deloitte survey, 79% say they
have fully deployed three or more AI
applications, up from 62% the year before, with
top applications being cloud pricing
optimization, voice assistants, chatbots and
conversational AI, predictive maintenance, and
uptime/reliability optimization.
94%
of business leaders surveyed agree that AI is
critical to success over the next five years.
Yet as organizations deploy more AI,
outcomes appear to be lagging
The conversational AI platform market will reach $13.2 billion by 2027
North America will lead the market, followed by Europe and the Asia Pacific region
36% of enterprises will shift their customer support function entirely to virtual assistants by 2027
Leading technologies are machine learning, deep learning, NLP, and automated speech recognition
Call centers are evolving to become AI-enabled customer contact service providers for enterprise services
Enterprise services companies are increasingly leveraging AI for CRM as well as inbound and outbound
marketing and sales operations.
Businesses are beginning to integrate conversational AI through voice assistants, chatbots,
and messaging apps. We expect that 36% of enterprises will shift their customer support
function entirely to virtual assistants by 2027.
Report has been added to ResearchAndMarkets.com
Alphabet CEO, Sundar Pichai claims that
"AI is to become the most profound piece of
technology in human history". These comments
came from an interview with CBS’s 60 Minutes
program.
Google CEO, Sundar Pichai
Will AI ?
14. Over the last year, large language models —
natural language processing (NLP) systems with
billions of parameters — have shown new
capabilities to generate creative text, solve
mathematical theorems, predict protein
structures, answer reading comprehension
questions, and more. They are one of the
clearest cases of the substantial potential
benefits AI can offer at scale to billions of people.
Introducing LLaMA
A foundational, 65-billion-parameter large
language model by META AI
“LLMs have shown much promise in
generating text, having conversations,
summarizing written material, and more
complicated tasks like solving math
theorems or predicting protein structures,”
Zuckerberg wrote in a Facebook post.
Meta CEO,
Mark Zuckerberg
15. According to META AI “To maintain integrity and
prevent misuse, we are releasing our model under a
non-commercial license focused on research use
cases”
As part of Meta’s commitment to open science, today
we are publicly releasing LLaMA (Large Language
Model Meta AI), a state-of-the-art foundational large
language model designed to help researchers advance
their work in this subfield of AI. Smaller, more
performant models such as LLaMA enable others in
the research community who don’t have access to
large amounts of infrastructure to study these models,
further democratizing access in this important, fast-
changing field.
Smaller models trained on more tokens — which are
pieces of words — are easier to retrain and fine-tune
for specific potential product use cases. We trained
LLaMA 65B and LLaMA 33B on 1.4 trillion tokens. Our
smallest model, LLaMA 7B, is trained on one trillion
tokens.
There is still more research that needs to be done to
address the risks of bias, toxic comments, and
hallucinations in large language models. Like other
models, LLaMA shares these challenges. As a
foundation model, LLaMA is designed to be versatile
and can be applied to many different use cases, versus
a fine-tuned model that is designed for a specific task.
By sharing the code for LLaMA, other researchers can
more easily test new approaches to limiting or
eliminating these problems in large language models.
We also provide in the paper a set of evaluations on
benchmarks evaluating model biases and toxicity to
show the model’s limitations and to support further
research in this crucial area.
Like other large
language models,
LLaMA works by
taking a sequence
of words as an
input and predicts
a next word to
recursively
generate text. To
train our model,
we chose text from
the 20 languages
with the most
speakers, focusing
on those with Latin
and Cyrillic
alphabets.
This Report is officialy publish by Meta AI on LLaMA: A foundational, 65-billion-parameter large language model
We trained LLaMA 65B and LLaMA 33B
on 1.4 trilliontokens
16. The Evolution of a truly immersive ‘metaverse’
future universe
According to one report,
the economic prospects of
the metaverse are
expected to reach 800
billion by 2025, and 2.5
trillion by 2030. Although
Zuckerberg is the name
most associated with the it,
his company is not alone in
investing in technology
that will be key to making
the metaverse a “Reality.”
In 2021, Facebook meta
announced to invest
US$10 Billion in building
metaverse and changed
the company’s name to
Meta. The platform would
allow users to
communicate with friends,
families, or colleagues
using their digital avatars.
17. Elizabeth Hyman, CEO
The XR Association,
which was founded by
Meta, Google, HTC
Vive, Microsoft and
Sony Interactive
Entertainment
“Virtual, augmented and mixed reality are the
gateway to phenomenal applications in medicine,
education, manufacturing, retail, workforce
training and more, and it is the gateway to deeply
social and immersive interactions – the
metaverse. Each day we’re taking strides to make
the technology better and ensure that the
opportunities are limitless – because they are. The
XR industry is focused on responsible innovation
and it has built a strong repository of resources
that lay the foundation for the industry’s
continued growth. While widespread adoption
does take time and challenges will no doubt arise,
we believe XR technology will become the next
major computing platform. Already, colleges and
universities are teaching students in the
metaverse. Human Resources professionals at
companies like Walmart, SAP, Delta and many
others are using the tool to train workers – some
of the fastest-growing job categories in the U.S.
are in industries that are rapidly adopting XR
technologies. Uses of XR include warehousing and
inventory management, product engineering and
design, immersive job training and upskilling and
virtual health care patient monitoring.
Particularly in the health care setting, we’re
seeing XR use with children. For example, the
Children’s Hospital Colorado is using XR to help to
change the pediatric hospital experience for the
better – for instance, for distraction and pain
management reducing the need for anesthesia
and physical therapy.”
Metaverse is a blend of several latest
developed technologies
18. That they are unable to use technologies to their full advantage due to a
global talent crunch.
Biden administration has already released a
memo mandating federal agencies to adopt
a zero-trust architecture (ZTA) by the end of
the 2024 fiscal year. Gartner believes that
zero-trust network access (ZTNA) is the
fastest-growing form of network security,
will grow by 31% in 2023 and will replace
VPNs entirely by 2025.
Threat detection and response tools like
endpoint detection and response (EDR),
extended detection and response (XDR)
and managed detection and response
(MDR) can analyze historical data using
artificial intelligence and machine learning
algorithms to spot unusual patterns as well
as leverage threat intelligence and
advanced file analysis to detect and block
advanced threats that are designed to
evade traditional defenses.
Gartner predicts that by 2025, 45% of
organizations will experience attacks on
their software supply chains, which will be
three times as many as in 2021.
As per the Global Cybersecurity Outlook
Report, a varied range of new technologies
is being adopted by organizations,
significantly raising the complexity of
securing the digital ecosystem and
widening the attack surface for malicious
actors to exploit.
76% of cybersecurity leaders confirms
19. Managed
Managed
Detection
Detection
&
&
Response
Response
(MDR)
(MDR)
MDR vendors focus on resolving key challenges that many small businesses and their
security IT teams face. With so many detection and response tools on the market, your
security team grapples with copious volumes of alerts, unable to interpret complex,
disjointed threat intelligence data. Cutting through the noise to make sense of siloed
data is near to impossible with many security teams lacking elite cybersecurity
expertise. It's a race against the clock. As your business’s environment rapidly
evolves, the bad actors are continuously finding ways to circumvent layers in your
security stack. Glaring issues that IT personnel face include an overwhelming volume
of alerts (alert fatigue) and notifications set off by traditional security tools. Seemingly
pinging with equal levels of urgency, the magnitude of false positive activity can
leave internal security professionals overburdened. Attempting to follow-up on every
alert inadvertently distracts your in-house team from monitoring legitimate malicious
activity and other important projects. Managed detection and response services
alleviate your team's time expenditure towards investigating alerts by accurately
identifying threats and prioritizing them based on severity.
Malwarebytes Managed Detection and Response (MDR)
delivers 24/7/365 on-call cybersecurity expertise to provide
organizations advanced protection within minutes.
20. Extended Detection Response
XDR
Integrates an organization's security tools to help
security teams detect and contain threats
EDR security solutions
can integrate:
Stop threats with built-in or completely
managed endpoint detection and
response (EDR), threat hunting, and
integrated risk-based vulnerability
management from Kenna Security.
Deep visibility lets you see events like
blocked devices when investigating
compromises in device trajectory.
Integrated SecureX solution, making our
extended detection and response (XDR)
approach the broadest in the industry.
21. Endpoint Detection Response
(EDR)
Solutions detect threats across your environment, investigating
the entire lifecycle of the threat
XDR security solutions can integrate:
Individual security tools (or point solutions) such as antivirus,
user and entity behavior analytics (UEBA), or firewalls;
Layer-specific security solutions such as EDR, endpoint
protection platforms (EPPs), network detection and response
(NDR) or network traffic analysis (NTA);
Solutions that collect data or coordinate workflows across
security layers, including security information and event
management (SIEM) or security orchestration, automation and
response (SOAR).
It allows teams to detect the most sophisticated threats with
event correlation and multi-vendor detections across network,
cloud, endpoint, email and more.
It allows organizations to build security resilience by closing
security gaps and anticipating what’s next through actionable
intelligence.
23. Increasing online coverage and a rising number of smartphone users are the key drivers driving
the global big data industry.
According to MarketsandMarkets, global expenditure on big data goods and services is
predicted to skyrocket from $162.6 billion last year to $273.4 billion in 2026.
High utilization in the retail
and healthcare sectors is
likely to increase regional
market demand. Due to
massive expansion in
transactions and business
strategies such as mergers &
acquisitions and joint
ventures across all industry
verticals, Asia-Pacific is
predicted to have the
greatest CAGR throughout
the projection period. Denise diagnoses an overheated CPU at our data center in The Dalles, Oregon. For more
than a decade, we have built some of the world's most efficient servers.
"Around 2023, Python is going to be the principal medium for democratising access to, and
insights from, data for everyone throughout an organisation. Python will become more enterprise-
ready as the runtime architecture that surrounds it becomes simpler and more straightforward,
while also incorporating better security and governance.
The cabinet also authorised the formation of the National Big Data Institute (NBDi), which will
grow out of the Government Big Data Institute (GBDi), which is administered by the Digital
Economy Promotion.
Big data is an important technology in various businesses, but especially in the gaming industry.
To remain competitive, most top-rated online casinos employ this technology to improve their
consumer experience. As stated in this article, such platforms will reap several benefits from
incorporating data science.
A Report by Acumen Research and Consulting
Amazon Web Services (AWS): AWS is a leading
provider of cloud-based big data solutions. It offers a
range of services and tools for storing, processing,
and analyzing large amounts of data.
Microsoft: Microsoft is a major player in the big data
market with its Azure platform.
Google: Google is a major player in the big data
market with its Google Cloud platform
Data Analytics segment is expected to have the largest big data market share, due to the
increasing demand for data-driven decision making and the growing adoption of data analytics
tools and solutions.
24. From Google’s coupling with
Automation Anywhere to
Microsoft's and IBM’s
consumption of Softomotive
and WDG Automation,
respectively. These are
unmistakable signs that the
behemoths are betting high on
RPA, and everyone else should
pay attention.
Robotics Process Automation
25. RPA tools have reached their limit in
terms of capability because transactional
automation requires a large overhead of
management. Simply put, transactional
automation is hard to manage. Hence, a
new class of enterprise apps known as
autonomous applications have emerged
to deliver intelligent automation,
cognitive capabilities and artificial
intelligence for organizations in
business functions like finance, supply
chain, customer experience, human
resources and planning.
Vendors from multiple fronts intend to
deliver on this promise. Legacy
enterprise resource planning providers,
cloud vendors, business process
management solutions, robotic process
automation products, process-mining
vendors and IT services firms with
software solutions attempt to compete
with pure-play vendors for both mind
share and market dominance in this
market, which Constellation Research
expects to hit $10.35 billion by 2030.
Constellation believes every enterprise
will design for self-driving, self-learning
and self-healing sentience.
26. RPA (Robotic Process Automation) to become
intuitive, intelligent, and smarter.
The robotic process
automation (RPA) market
has helped many clients
increase speed, deliver
higher accuracy, achieve
greater levels of
consistency, reduce costs,
provide scale and improve
quality. Constellation
Research estimates the
market size in 2021 to
achieve $2.2B in revenue,
with a CAGR of 18.8% and
growth to $5.07B in 2026.
IDC predicts that by 2025, AI-powered enterprises will see a 100%
increase in knowledge worker productivity, resulting in shorter
reaction times, greater product innovation success and improved
customer satisfactioni.
27. The deal with Automation Anywhere
appears to be Google’s answer to
Microsoft’s acquisition of RPA startup
Softomotive and IBM’s purchase of
WDG Automation. Microsoft recently
brought RPA to Windows 10 with new
Power Platform products. With a
market opportunity anticipated to be
worth $3.97 billion by 2025, according
to Grand View Research, RPA is fast
becoming too large to ignore.
Automation Anywhere rival Blue
Prism has raised over $120 million,
Kryon $40 million, and FortressIQ $30
million. And in July, UiPath nabbed
$750 million, bringing its total raised
to $2 billion at a post-money
valuation of $35 billion.
29. GARTNER FORECASTS THAT THE BUSINESS VALUE GENERATED
BY BLOCKCHAIN WILL GROW RAPIDLY, REACHING $176
BILLION BY 2025 AND $3.1 TRILLION BY 2030.
THE BIGGEST BLOCKCHAIN INVESTMENTS -- OVER 40 PERCENT
OF WORLDWIDE SPENDING -- WILL BE MADE BY THE US
DURING THIS PERIOD, FOLLOWED BY WESTERN EUROPE,
CHINA AND ASIA/PACIFIC (EXCLUDING JAPAN AND CHINA),
SAYS IDC.
ENTERPRISE ARCHITECTURE (EA) AND TECHNOLOGY
INNOVATION LEADERS LOOKING TO ACHIEVE INNOVATION
AND DISRUPTION WITH BLOCKCHAIN TECHNOLOGY:
THEY PREPARE FOR BLOCKCHAIN BY UNDERSTANDING THE
SWEEPING SCOPE OF ITS CAPABILITIES FOR BUSINESS
BENEFIT
PERFORM SCENARIO PLANNING ASSUMING EVENTUAL
BLOCKCHAIN TECHNOLOGY MATURITY
CONDUCT BLOCKCHAIN TRIALS THAT INCLUDE A LIBERAL
DOSE OF DECENTRALIZED BUSINESS MODELS AND
PROCESSES
ENSURE THAT THE SCOPE AND STAFF ALLOCATED FOR
BLOCKCHAIN EXPERIMENTATION INVOLVE BOTH BUSINESS
AND TECHNOLOGY CAPABILITIES
30. Expected to become available early in
the 2030s, the 6G research journey is
already well underway.
31. 6G will accelerate full-scale digital
transformation of vertical industries. URLLC+ is
the continuous evolution of ultra-reliable low-
latency communications (URLLC) for critical
machine-type communication in Industry 4.0
and beyond. It also applies to new applications
enabled by the ubiquitous utilization of robots,
UAVs, and new human-machine interfaces
(HMIs) in manufacturing, public service,
autonomous driving, and household
management.
In future automated and flexible
manufacturing, precise localization and
deterministic communication will be provided
to support real-time interaction between
collaborative robots. A rethinking of network
architecture is also considered necessary to
enable massive machine learning and
knowledge sharing among robots.
The core elements of 6G will form one seamless
system with all the capabilities necessary to
empower the vision of ever-present intelligent
communication connecting a cyber-physical
world. With a foundation of trustworthy
systems and a highly efficient compute fabric
with built-in cognition capacities, the networks
of the future will deliver limitless connectivity
for upcoming applications and services. This
will make 6G a broad platform for innovation
and the information backbone of society,
leading to the creation of a fully digitalized and
programmable physical world.
32. The first Modem-RF System
with a dedicated hardware
tensor accelerator,
Qualcomm® 5G AI
Processor Gen 2, enabling
over 2.5 times better AI
performance compared to
Gen 1 and introduces
Qualcomm® 5G AI Suite Gen
2 with new AI-powered
optimizations to achieve
better speeds, coverage,
mobility, link robustness and
location accuracy. The
Qualcomm 5G AI Suite
features advanced AI-based
capabilities including world’s
first sensor-assisted
mmWave beam management
and AI-enhanced GNSS
Location Gen 2, which
uniquely optimize
Snapdragon X75 for superior
5G performance.
Snapdragon X75
Snapdragon X75
Accelerating 5G+
Accelerating 5G+
34. VIEW MORE
VIEW MORE
ON THE WEB
ON THE WEB
Beuth-Hochschule für
Technik Berlin hosts
the Neurorobotics
Research Laboratory
(NRL). For autonomous
robots
Rolls-Royce’s nuclear power
project is called the “Kilopower”
reactor. The company has
partnered with NASA and the
US Department of Energy to
develop this technology for use
in space.
Schmidt discussed the
potential consequences
of AI technology during
the interview
