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Presentation on theme: "Nao Robot."— Presentation transcript:

Preparing and Delivering a Presentation

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• Autonomous robots - mobile robots, robot arms, humanoid robots
• Humanoid robots
• NAO humanoid robot

NAO Presenter application

• Description
• Technical specifications
• Questions(FAQs)

NAO Presenter: A behaviour designed for professionals welcoming members of the public

The NAO Presenter application is the first B2B application designed for the NAO robot. This behaviour lets you use NAO as a welcome robot in all places receiving the public. As its name indicates, NAO presenter performs interactive, entertaining, innovative presentations according to content that you can design and update completely independently. Standing beside a large-screen display, NAO runs and controls PowerPoint presentations which it presents contextually, like a human presenter, when it detects and attracts a visitor.

The latter has a choice between several presentations and can interact with NAO via movements or images in the form of cards that NAO can recognise. At any moment during the presentations, NAO can start a quiz (which you will have also designed) in order to test the visitor’s understanding of the presentation.

Its movements and speech are synchronised with the PowerPoint slide show (since it’s NAO who is in control of it), giving the presentation unrivalled reality and bringing it to life.

Lifelike behaviour

Throughout the behaviour, NAO’s movements are synchronised with what’s happening on screen. What’s more, NAO looks the visitors in the eye while it is running the presentation, can run sounds or videos during its presentations, and can dance to the music – creating a matchless user experience.

Breathe a little innovation into the way you welcome the public and promote your brand thanks to NAO presenter.

Why NAO presenter?

Using the NAO presenter behaviour offers many advantages for your organisation. Quite apart from the fact that this behaviour has been produced by recognised professionals in robotics and man/robot interaction, the behaviour has been proven under real conditions by our teams and our customers, thereby ensuring maximum effectiveness and customer satisfaction.

• NAO is a friendly, appealing robotic companion
• Left alone, the robot is intriguing and naturally draws the public, with whom it then interacts.
• Creating and updating content is easy and doesn’t require any special skills
• The behaviour is compatible with all the languages offered by NAO.
• Robot security: our development teams have taken into account robot security and the risk of its falling. NAO’s behaviour is automatically adapted in the event of low battery or excessive motor temperature. Likewise, marks on the floor enable NAO to reposition itself automatically at regular intervals.

Examples of how to use the NAO presenter behaviour

This behaviour is designed for any organisation that receives the public, e.g.

• Shopping centres
• Civic offices
• Company reception areas

Features of the NAO presenter behaviour

The following functions are possible:

• When NAO is left on its own without any spectators, it “keeps itself busy” and seems to have a life of its own. This autonomous behaviour arouses visitors’ curiosity.
• Its embedded camera detects people passing by.
• NAO looks at people and asks them to come and watch a number of presentations.
• NAO offers up to 6 presentations displayed on the screen.
• NAO runs the selected presentation. It is a PowerPoint that can include text, images, audio, and videos. NAO controls the slideshow and all the aspects of the presentation, such as NAO’s gestures, what it says, and what is shown on the screen, are synchronised.
• At any moment, NAO can start a quiz with one or more questions in order to make the presentation more interactive.

An easy-to use set-up

Software set-up: create and update content.

One of the strengths of this behaviour for NAO is the ease with which content can be created and updated. Because we understand that you need to be able to adapt content to events in your organisation, we have made it easy for you to create and update it.

A presentation comprises content resources (a PowerPoint and possibly audio files and video files) and an XML file. This XML file contains the script for NAO and its movements during the presentation (whether it points to the screen at a specific moment, whether it laughs, whether it dances, etc.) and the information allowing all the elements to be synchronised together. Learning to use this operation does not require any programming skills.

It is enough to simply be familiar with the usual office computing tools. In addition to the clear, illustrated documentation, a number of generic presentations are supplied for you to get the hang of it.

Tools are also supplied for trying out your presentations as you are creating them, which make it possible to reduce the time taken to produce presentations.

Hardware set-up: hardware required

To use NAO presenter, you will need:

• A NAO robot (compatible with version 4, 5 and 6 of the NAO robot)
• A large-screen display
• A PC running Windows with an active licence for PowerPoint (version higher than PowerPoint 97)

The PC is used to drive the screen. The PC is linked to NAO via Wi-Fi.

Customer references for NAO presenter

The following customers have implemented our system:

The behaviours designed by GR Lab

What is a nao behaviour.

A behaviour is a group of software programs that allow a robot to accomplish a task while interacting with people.

Human/robot interaction is at the heart of the behaviours designed by GR Lab

This behaviour was developed by our teams at GR Lab , Génération Robots’ service and integration department. The development teams who designed this behaviour have been running official NAO training sessions on behalf of Aldebaran Robotics since 2012.

The GR Lab teams have recognised expertise in man/robot interaction (MRI), as reflected in the lifelike, fluid interaction of the NAO robots using this behaviour.

The GR Lab teams have also designed:

• NAO plays Connect 4
• NAO plays Poker
• NAO plays football

Resources for the "NAO presenter" application

You will find below a document introducing the "NAO presenter" application:

Introducing "NAO presenter" (en)

Basic Channel needs to be installed on your Nao robot . For more information, just follow this link .

You can download the software for the robot. On the first start of Choregraph you can use the code below: 654e-4564-153c-6518-2f44-7562-206e-4c60-5f47-5f45 . To download the software, just follow this link .

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The future of education is NAO.

NAO is a robot with a knack for knowledge – both learning and sharing it. A programmable personal teaching assistant, NAO helps teachers bring lessons to life, making learning more fun and more concrete for students. Every lesson gets better when NAO is there to lend a hand.

What makes NAO special?

NAO forms real relationships with students.

Interactive, intuitive, and friendly, NAO is designed to grab students’ attention, win their trust, and keep them invested. NAO doesn’t just have knowledge – NAO has personality, with the patience and positivity to inspire students to keep focused and keep trying.

NAO makes learning more active and engaging.

NAO connects theory to practice with hands-on projects that encourage participation, teamwork, and creative problem-solving.

NAO helps students of all ages.

Versatile, with a comprehensive knowledge base, NAO can work with students from preschool through grad school. NAO can show STEM students the power of programming, or offer extra support and attention to children with special needs.

NAO gathers knowledge as well as shares it.

NAO can conduct interactive experiments, collect data, and help researchers test new theories and find new answers.

Want to meet NAO and see how he brings learning to life?

Nao was built to learn..

Designed to be personalized, it's easy to add new content, capabilities, skills, and know-how to NAO. You can even develop Nao's personality in the process!

How can NAO help your organization?

Teachers around the world are using NAO to inspire students, improve teamwork, and increase both interest and knowledge of STEM skills for the future.

With the ability to interact and connect with people on a personal level, NAO is ideal for researchers looking to conduct experiments, collect data, and test theories.

NAO is full of features.

NAO SPEAKS YOUR LANGUAGE.

Fluent in more than 20 languages, NAO can communicate clearly and effortlessly with students across a variety of cultures.

NAO HAS A FEEL FOR THE ENVIRONMENT.

Tactile sensors in NAO’s head, hands, and feet help NAO react and respond as needed. NAO can hear, see, and recognize you – both who you are, and what you’re feeling.

NAO GETS AROUND.

NAO is built to move naturally and go just about anywhere. NAO can detect obstacles, avoid falls, and get right back up again.

NAO GETS WITH THE PROGRAM.

Fully open and programmable, NAO runs on NAOqi OS, a flexible framework that gives you lots of options for customizing NAO your way – from a variety of SDKs, to visual programming interfaces like Blockly and Scratch, to Choregraphe, our easy-to-use drag-and-drop graphical software.

1. NAO SPEAKS YOUR LANGUAGE.

2. nao has a feel for the environment., 3. nao gets around., 4. nao gets with the program., keep up with the future, right from your inbox..

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Jan 06, 2020

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Nao Robot. What is NAO?.

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• aldebaran robotics
• controlling nao
• fall detection system
• nlp natural language processing

Presentation Transcript

What is NAO? • NAO is a 58-cm tall, 5-kg humanoid robot developed by Aldebaran Robotics, a French robotics company headquartered in Paris. NAO is a completely programmable, autonomous, and interactive robot. NAO is used today in research and education around the world in prestigious universities and research institutes. In December 2011, Aldebaran Robotics released the Nao Next Gen.

Where is NAO used • NAO robots are used in many schools from elementary to post secondary education. • Mainly used in the Autism sector and shown many advances in that community.

NAO Programming Languages • C++ • Python • .Net • Java • Matlab

Classroom and Students • Classroom implementation • Students Interest • Lessons

Camera Cameras Image processing work on the robot CPU, you can use up to 30 images/second in HD resolution. NAO can move the head by 239°horizontally and by 68° vertically, and his camera can see at 61° horizontally and 47°vertically. Result : NAO has a great capacity to sense his environment.

ObjectRecognition • NAO has the capacity to recognize a large quantity of objects. Once the object is saved thanks to Choregraphe software, if he sees it again, NAO is able to recognize and say what it is.

Face Detection and Recognition • It's one of the best known features for interaction. NAO can detect and learn a face in order to recognize it next time.

Text to Speech • NAO is able to speak up to 9 languages. With a "say box" in Choregraphe you can insert text and modify voice parameters as you wish. NAO will say the text correctly, with the right punctuation and intonation.

Automatic Speech Recognition NAO is now able to hear you from 2 meters away, recognize a complete sentence or just few words in the sentence.

Sound Detection and Localization • Our environment is made of sounds that NAO, like us, is able to detect and localize in the space thanks to microphones all around his head.

Fall manager • NAO may fall, but can stand up by himself. NAO as a fall detection system: before hitting the ground, NAO protects himself with his arms.

Anti self-collision • Prevents Nao’s arms from colliding with the rest of his body; Nao always knows the position of his head, torso, legs, and arms, to avoid accidental limb collisions.

Specifications

What Can NAO Do? The NAO robot will be capable of NLP (Natural Language Processing), listening, understanding, obeying commands,answering questions, talking. walking, sitting, standing up, dancing, kicking . e.g. “Who are you “ I am NAO,

Controlling Nao

Conclusion • Demonstration of Nao robot • Questions for the audience

• More by User

Using OpenRDK to learn walk parameters for the Humanoid Robot NAO

Using OpenRDK to learn walk parameters for the Humanoid Robot NAO. it’s me . F. Giannone. A. Cherubini. L. Iocchi. M. Lombardo. G. Oriolo. Overview: environment. Robotic Agent. Humanoid Robot. NAO. Produced by Aldebaran. Application. Robotic Soccer. SDK. Simulator.

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INTRODUCTION TO MOTION GENERATION FOR NAO ROBOT USING ANDROID FRAMEWORK

INTRODUCTION TO MOTION GENERATION FOR NAO ROBOT USING ANDROID FRAMEWORK. Department: FTI-FHO-FPT Presenter: Pham Van Trung. OUTLINE. Introduction. 1. 2. Motor Stiffness Control. Joint Angle Control. 3. 4. Position Control. 5. Locomotion Control. Question and Comment. 6.

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Introduce about sensor using in Robot NAO

Introduce about sensor using in Robot NAO. Department: FTI-FHO-FPT Presenter: Vu Hoang Dung. OUTLINE. Introduce Sensors. 1. 2. Audio. Vision. Other Sensors. 3. 4. Introduce Sensors.

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North Atlantic Oscillation (NAO)

North Atlantic Oscillation (NAO). Ercan Kahya Istanbul Technical University. NAO. REFERENCES ► Hydroclimatology: Perspectives and Applications, M.L . SHELTON, Cambridge University Press ► http :// www.pnas.org / ► ► ►. NAO Characteristics.

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Project Nao

Project Nao. Célia Amegavie Ismaïl Tahry. Polytech Lille. University of Science and Technology of Lille Polytech Group (national network of 11 graduate schools within France's leading science universities)  member of the French " Conférence des Grandes Écoles “

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Project NAO

Project NAO. Contact Information. (980) 298-0784 OR. (704) 804-2877 (Only if you can’t contact the first #). [email protected]. www.projectnao.weebly.com. We will help you with your chores. Got a dog? Want someone to wash your car ? Want someone to mow your lawn ?

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NAO+ 1985-1994

E. P. R. Q 1 ,  1 ,S 1. Q 2 ,  2 ,S 2. On σ 1 = 32.10; at MOW core. Increasing anomaly. NAO- 1960-1969. NAO+ 1985-1994. Strong westerlies: NAO+. Weak westerlies: NAO-.

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NAO dementia study aims

Older People with Dementia in Acute Care: K ey messages from the NAO report Paul Forte The Balance of Care Group www.balanceofcare.com. NAO dementia study aims. Set out the overall impacts of dementia in older people on the economy: research; national surveys of GPs and CMHTs,

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Nao Mimoto. gozips.uakron.edu~ nmimoto. Teaching. Actuarial Science I and II Time Series Analysis and Forecasting 650: Stochastic Processes. Statistical Methodology. Time Series Analysis (GARCH, Long Mem ) Stochastic Processes (Markov Process, NH Poi Process)

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State of the NAO

State of the NAO. NAO Site. One of the biggest keys to any winter weather pattern across the US is the amount of high latitude blocking that is present. The two most frequently used indices to look at northern hemispheric blocking is the AO and NAO.

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What is the NAO?

What is the NAO?. Geoffrey Vallis 1 and Adam Scaife 2 April 2004 C20C workshop, ICTP. 1 - GFDL, Princeton, USA . 2 - Hadley Centre, Met Office, Exeter, UK. Observed NAO +. Observed NAO -. NAO timescales. Hemispheric Modes. NAO+ => Double jet structure. Models.

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NAO Presentation

Description:

NAO will give a presentation about its capabilities and will tell its own stories. It is an interactive app and the user will be prompted to answer a question during the presentation. If you prefer you can touch his head sensor to answer the question!

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Made for Humans, and open to the world.

An interactive companion and open programmable platform, with engaging interactions, innovative capabilities, and limitless possibilities.

Redefining Human-Robot Interaction

Life-like Appearance and Movements

Open 
to infinite possibilities.

Open to infinite possibilities.

Open programmable platform

Create applications, animations, behaviors, dialogues, and more. It’s simple and intuitive to make NAO come to life.

User-friendly programming

Intuitive programming interfaces enabling seamless integration and customization of NAO behaviors.

Tested, Trusted and True

Currently in his 6th generation (NAO6), there are more than 15,000 robots in use, in over 70 countries.

The advantage of NAO is that it resembles human being and therefore stimulates in us emotions, things, that perhaps other types of robots are not able to do.

Learn more about NAO

Do you have any questions about NAO? Talk to our experts.

The versatile companion that lights up your activity.

NAO for Primary Education

With its cute design, NAO is a great assistant in primary education to capture attention and learn while having fun.

Primary & Secondary Education

NAO for Secondary Education

NAO supports initiation to STEAM subjects for secondary education levels.

NAO for Higher Education

In Higher Education NAO supports project-based-learning approach: programming, design of a robot, mechanics, automation...

Higher Education

NAO for Inclusive Education

NAO assists educators in using applications for students with disabilities, autism, and behavioral disorders in Special Education.

Inclusive Education

NAO for Research

HRI, perception, cognition, navigation and localization are some of the research fields explored with NAO.

A valuable support in Healthcare

• Provides companionship.
• Engages in social conversation, plays games, and brings happiness to patients.
• Excellent assistant for encouraging and coaching patients in their rehabilitation and exercises.

Try our versatile & engaging robot.

Discover the transformative power of NAO, our super companion robot and create an engaging learning and social experience.

*Mandatory fields

NAO Robot AI Edition

Robots as a teaching-aid tool.

The latest 2022 version of NAO brings many improvements to the mostly used humanoid robot in the world. The new features focus on Artificial Intelligence to make NAO smarter and more responsive to improve the overall experience while interacting with humans.

• The pack includes:
• One NAO V6 (Copper or Rose Gold)
• 1 Charger and 1 Battery
• Unlimited Choregraphe Licenses
• Second language included (speech and understanding)
• 3-year Access to AI Skills
• Full SDK and API
• RobotLAB Support 

Price: $ 14,990

I NEED A PRICE QUOTE

Main Features

Fully-programmable humanoid robot

2 5-MP cameras, dual stream of the top and bottom cameras, tactile sensors, position sensors, 4 omnidirectional microphones, 8 force sensitive resistors. 

Programming Languages

Drag&Drop, C++, Python, Java

Educational value

Computer Science, Robotics and Artificial Intelligence

What’s in the box?

1 NAO V6 AI Edition Robot, 1 Charger, 1 Battery, unlimited Choregraphe Software Licenses, 3-year Access to AI Skills, Software License for 3D Simulation Tool,  User manual, Full SDK and API Access

Mobile / stationary

Mobile (biped robot)

Fully-programmable

Universities, Research Labs, Schools, Developers 

Available as an option

1-year warranty

Today, NAO is the mostly used humanoid robot for research and education in the world.

Robotics is the fastest growing and most advanced technology used in education and research. The NAO humanoid robot is the ideal platform for teaching Coding, Robotics, Artificial Intelligence and STEM concepts at all levels. NAO is also the preferred platform for thousands of professors in researchers working in HRI, AI and Machine Learning, Vision and Engineering.

By using NAO, educators and researchers stay current with major technical and commercial breakthroughs in programming and applied research. Using NAO guarantee students the best possible career and college readiness!

7 senses for natural interaction

Moving : NAO has 25 degrees of freedom and a humanoid shape that enable him to move and adapt to the world around him. His inertial unit enables him to maintain his balance and to know whether he is standing up or lying down.

Feeling : The numerous sensors in his head, hands and feet, as well as his sonars, enable him to perceive his environment and get his bearings.

Hearing and speaking : With his 4 directional microphones and loudspeakers, NAO interacts with humans in a completely natural manner, by listening and speaking.

Seeing : NAO is equipped with two cameras that film his environment in high resolution, helping him to recognize shapes and objects.

Connecting : To access the Internet autonomously, NAO is able to use a range of different connection modes (WiFi, Ethernet). The latest version of NAO V6 AI Edition also has 5G capabilities.

Thinking : The NAO V6 AI Edition includes prepackaged AI skills that allow you to add lifelike conversational AI, create personalized interaction based on facial recognition, and collect information allowing you to understand behavioral patterns. It can present any location-related information (such as menus, company presentations, onboarding speeches, open support tickets, etc.) and automate a lot of the repetitive tasks humans do while servicing humans.

Discover NAO's new AI Skills!

Programming NAO

The advanced software package includes a full SDK and API in Java, C++, C# (.N et), Matlab, and Python. Every robot comes standard with Choregraphe, an award-winning software that makes it easy to program the robot using a drag and drop interface which simplifies the programming for new and advanced users alike.  

The NAO AI Edition also comes with an advanced 3D Simulator that provides a complete development environment to program and simulate your robot as well as objects and materials. This new feature allows you to save time in the development of your project. It is also very useful when NAO is being shared between students.

A revolutionary platform for multiple use cases

As of today, more than 31,400 robots are used in multiple industry verticals making NAO the most used humanoid robot worldwide. Its design, capabilities and robustness make it an engaging and smart platform used in education, healthcare and retail.  

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Table Of Contents

• NAO - User Guide
• NAO - Technical Guide
• ASK NAO Interface - V2 - User Guide
• Romeo Documentation
• NAOqi Developer guide
• Legal notices

Documentation

NAO as a Copresenter in a Robotics Workshop - Participant’s Feedback on the Engagement Level Achieved with a Robot in the Classroom

• Conference paper
• First Online: 24 June 2018
• Cite this conference paper

• Joseiby Hernandez-Cedeño 15 ,
• Kryscia Ramírez-Benavides 15 ,
• Luis Guerrero 15 &
• Adrian Vega 15  

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 784))

Included in the following conference series:

• International Conference on Applied Human Factors and Ergonomics

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Robotics, combined with computer science and human-centered studies, can have a substantial impact in areas such as education and innovation. Robots have proven to be a good tool to gain and maintain users’ involvement in different activities. In education, robots can be used as teaching assistants to improve participation, enhance concentration or just to get students’ attention. In this research, we involved an NAO, a humanoid robot, in a workshop presentation with the aim of measuring the impact of this technique on the level of engagement showed by the participants. The robot was programmed to simulate speech and gesticulate while it talked to apply the Wizard of Oz technique.

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Acknowledgments

This work was partially supported by Centro de Investigaciones en Tecnologías de la Información y Comunicación (CITIC), Escuela de Ciencias de la Computación e Informática (ECCI) both at Universidad de Costa Rica (UCR). Grand No. 834-B7-267. We would like to thank Programa de Posgrado en Computación e Informatica and Sistema de Estudios de Posgrado at UCR for their support. Additionally, thanks to the User Interaction Group (USING) for providing ideas to refine and complete the research.

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Joseiby Hernandez-Cedeño, Kryscia Ramírez-Benavides, Luis Guerrero & Adrian Vega

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Correspondence to Joseiby Hernandez-Cedeño .

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Hernandez-Cedeño, J., Ramírez-Benavides, K., Guerrero, L., Vega, A. (2019). NAO as a Copresenter in a Robotics Workshop - Participant’s Feedback on the Engagement Level Achieved with a Robot in the Classroom. In: Chen, J. (eds) Advances in Human Factors in Robots and Unmanned Systems. AHFE 2018. Advances in Intelligent Systems and Computing, vol 784. Springer, Cham. https://doi.org/10.1007/978-3-319-94346-6_14

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Published : 24 June 2018

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An era of robotics, ‘AI factories’ powered by Nvidia’s chips and software is ‘in our near future’, CEO Jensen Huang says

• In a speech ahead of the opening of Taiwan’s Computex trade show, Huang presented how ‘AI factories’ and ‘physical AI’ would help transform industries
• His presentation reflects how Nvidia, the world’s most valuable semiconductor company, has emerged at the centre of the world’s AI revolution

In a keynote speech ahead of this year’s Computex trade show in Taiwan from June 4 to 7, the 61-year-old Huang said computers are “no longer just an instrument for information storage or data processing, but a factory for generating intelligence for every industry”.

“We started with accelerated computing, and now, an industrial revolution,” he said. “Your computer [will not just] be a tool that you use. The computer will now generate skill. This is in our near future.”

Apple supplier Foxconn to build ‘AI factories’ using US hardware leader Nvidia’s chips and software

“Now we have five million developers [for CUDA] around the world,” Huang said. “We serve every single industry, from healthcare, financial services, the computer industry, automotive industry – just about every major industry in the world and every field of science.”

Near the conclusion of his two-hour presentation at the National Taiwan University Sports Centre in Taipei, Huang highlighted that the next step of this new era for AI is to push forward robotics.

Nvidia has built an advanced development platform called Omniverse, which will be used to create and train AI for various robotic applications.

“After 2012, we changed the architecture of our GPU to add tensor cores,” he said. “Nobody understood it … OpenAI, a small company in San Francisco, asked me to deliver one to them. I delivered the first DGX, the world’s first AI supercomputer to OpenAI in 2016.”

Huang is among a number of heads of major semiconductor companies who are expected to make presentations at Taipei’s annual Computex, one of the largest information technology exhibitions in the world.

McKinsey Technology Trends Outlook 2023

After a tumultuous 2022 for technology investment and talent, the first half of 2023 has seen a resurgence of enthusiasm about technology’s potential to catalyze progress in business and society. Generative AI deserves much of the credit for ushering in this revival, but it stands as just one of many advances on the horizon that could drive sustainable, inclusive growth and solve complex global challenges.

To help executives track the latest developments, the McKinsey Technology Council  has once again identified and interpreted the most significant technology trends unfolding today. While many trends are in the early stages of adoption and scale, executives can use this research to plan ahead by developing an understanding of potential use cases and pinpointing the critical skills needed as they hire or upskill talent to bring these opportunities to fruition.

Our analysis examines quantitative measures of interest, innovation, and investment to gauge the momentum of each trend. Recognizing the long-term nature and interdependence of these trends, we also delve into underlying technologies, uncertainties, and questions surrounding each trend. This year, we added an important new dimension for analysis—talent. We provide data on talent supply-and-demand dynamics for the roles of most relevance to each trend. (For more, please see the sidebar, “Research methodology.”)

New and notable

All of last year’s 14 trends remain on our list, though some experienced accelerating momentum and investment, while others saw a downshift. One new trend, generative AI, made a loud entrance and has already shown potential for transformative business impact.

Research methodology

To assess the development of each technology trend, our team collected data on five tangible measures of activity: search engine queries, news publications, patents, research publications, and investment. For each measure, we used a defined set of data sources to find occurrences of keywords associated with each of the 15 trends, screened those occurrences for valid mentions of activity, and indexed the resulting numbers of mentions on a 0–1 scoring scale that is relative to the trends studied. The innovation score combines the patents and research scores; the interest score combines the news and search scores. (While we recognize that an interest score can be inflated by deliberate efforts to stimulate news and search activity, we believe that each score fairly reflects the extent of discussion and debate about a given trend.) Investment measures the flows of funding from the capital markets into companies linked with the trend. Data sources for the scores include the following:

• Patents. Data on patent filings are sourced from Google Patents.
• Research. Data on research publications are sourced from the Lens (www.lens.org).
• News. Data on news publications are sourced from Factiva.
• Searches. Data on search engine queries are sourced from Google Trends.
• Investment. Data on private-market and public-market capital raises are sourced from PitchBook.
• Talent demand. Number of job postings is sourced from McKinsey’s proprietary Organizational Data Platform, which stores licensed, de-identified data on professional profiles and job postings. Data is drawn primarily from English-speaking countries.

In addition, we updated the selection and definition of trends from last year’s study to reflect the evolution of technology trends:

• The generative-AI trend was added since last year’s study.
• We adjusted the definitions of electrification and renewables (previously called future of clean energy) and climate technologies beyond electrification and renewables (previously called future of sustainable consumption).
• Data sources were updated. This year, we included only closed deals in PitchBook data, which revised downward the investment numbers for 2018–22. For future of space technologies investments, we used research from McKinsey’s Aerospace & Defense Practice.

This new entrant represents the next frontier of AI. Building upon existing technologies such as applied AI and industrializing machine learning, generative AI has high potential and applicability across most industries. Interest in the topic (as gauged by news and internet searches) increased threefold from 2021 to 2022. As we recently wrote, generative AI and other foundational models  change the AI game by taking assistive technology to a new level, reducing application development time, and bringing powerful capabilities to nontechnical users. Generative AI is poised to add as much as $4.4 trillion in economic value from a combination of specific use cases and more diffuse uses—such as assisting with email drafts—that increase productivity. Still, while generative AI can unlock significant value, firms should not underestimate the economic significance and the growth potential that underlying AI technologies and industrializing machine learning can bring to various industries.

Investment in most tech trends tightened year over year, but the potential for future growth remains high, as further indicated by the recent rebound in tech valuations. Indeed, absolute investments remained strong in 2022, at more than $1 trillion combined, indicating great faith in the value potential of these trends. Trust architectures and digital identity grew the most out of last year’s 14 trends, increasing by nearly 50 percent as security, privacy, and resilience become increasingly critical across industries. Investment in other trends—such as applied AI, advanced connectivity, and cloud and edge computing—declined, but that is likely due, at least in part, to their maturity. More mature technologies can be more sensitive to short-term budget dynamics than more nascent technologies with longer investment time horizons, such as climate and mobility technologies. Also, as some technologies become more profitable, they can often scale further with lower marginal investment. Given that these technologies have applications in most industries, we have little doubt that mainstream adoption will continue to grow.

Organizations shouldn’t focus too heavily on the trends that are garnering the most attention. By focusing on only the most hyped trends, they may miss out on the significant value potential of other technologies and hinder the chance for purposeful capability building. Instead, companies seeking longer-term growth should focus on a portfolio-oriented investment across the tech trends most important to their business. Technologies such as cloud and edge computing and the future of bioengineering have shown steady increases in innovation and continue to have expanded use cases across industries. In fact, more than 400 edge use cases across various industries have been identified, and edge computing is projected to win double-digit growth globally over the next five years. Additionally, nascent technologies, such as quantum, continue to evolve and show significant potential for value creation. Our updated analysis for 2023 shows that the four industries likely to see the earliest economic impact from quantum computing—automotive, chemicals, financial services, and life sciences—stand to potentially gain up to $1.3 trillion in value by 2035. By carefully assessing the evolving landscape and considering a balanced approach, businesses can capitalize on both established and emerging technologies to propel innovation and achieve sustainable growth.

Tech talent dynamics

We can’t overstate the importance of talent as a key source in developing a competitive edge. A lack of talent is a top issue constraining growth. There’s a wide gap between the demand for people with the skills needed to capture value from the tech trends and available talent: our survey of 3.5 million job postings in these tech trends found that many of the skills in greatest demand have less than half as many qualified practitioners per posting as the global average. Companies should be on top of the talent market, ready to respond to notable shifts and to deliver a strong value proposition to the technologists they hope to hire and retain. For instance, recent layoffs in the tech sector may present a silver lining for other industries that have struggled to win the attention of attractive candidates and retain senior tech talent. In addition, some of these technologies will accelerate the pace of workforce transformation. In the coming decade, 20 to 30 percent of the time that workers spend on the job could be transformed by automation technologies, leading to significant shifts in the skills required to be successful. And companies should continue to look at how they can adjust roles or upskill individuals to meet their tailored job requirements. Job postings in fields related to tech trends grew at a very healthy 15 percent between 2021 and 2022, even though global job postings overall decreased by 13 percent. Applied AI and next-generation software development together posted nearly one million jobs between 2018 and 2022. Next-generation software development saw the most significant growth in number of jobs (exhibit).

Image description:

Small multiples of 15 slope charts show the number of job postings in different fields related to tech trends from 2021 to 2022. Overall growth of all fields combined was about 400,000 jobs, with applied AI having the most job postings in 2022 and experiencing a 6% increase from 2021. Next-generation software development had the second-highest number of job postings in 2022 and had 29% growth from 2021. Other categories shown, from most job postings to least in 2022, are as follows: cloud and edge computing, trust architecture and digital identity, future of mobility, electrification and renewables, climate tech beyond electrification and renewables, advanced connectivity, immersive-reality technologies, industrializing machine learning, Web3, future of bioengineering, future of space technologies, generative AI, and quantum technologies.

End of image description.

This bright outlook for practitioners in most fields highlights the challenge facing employers who are struggling to find enough talent to keep up with their demands. The shortage of qualified talent has been a persistent limiting factor in the growth of many high-tech fields, including AI, quantum technologies, space technologies, and electrification and renewables. The talent crunch is particularly pronounced for trends such as cloud computing and industrializing machine learning, which are required across most industries. It’s also a major challenge in areas that employ highly specialized professionals, such as the future of mobility and quantum computing (see interactive).

Michael Chui is a McKinsey Global Institute partner in McKinsey’s Bay Area office, where Mena Issler is an associate partner, Roger Roberts  is a partner, and Lareina Yee  is a senior partner.

The authors wish to thank the following McKinsey colleagues for their contributions to this research: Bharat Bahl, Soumya Banerjee, Arjita Bhan, Tanmay Bhatnagar, Jim Boehm, Andreas Breiter, Tom Brennan, Ryan Brukardt, Kevin Buehler, Zina Cole, Santiago Comella-Dorda, Brian Constantine, Daniela Cuneo, Wendy Cyffka, Chris Daehnick, Ian De Bode, Andrea Del Miglio, Jonathan DePrizio, Ivan Dyakonov, Torgyn Erland, Robin Giesbrecht, Carlo Giovine, Liz Grennan, Ferry Grijpink, Harsh Gupta, Martin Harrysson, David Harvey, Kersten Heineke, Matt Higginson, Alharith Hussin, Tore Johnston, Philipp Kampshoff, Hamza Khan, Nayur Khan, Naomi Kim, Jesse Klempner, Kelly Kochanski, Matej Macak, Stephanie Madner, Aishwarya Mohapatra, Timo Möller, Matt Mrozek, Evan Nazareth, Peter Noteboom, Anna Orthofer, Katherine Ottenbreit, Eric Parsonnet, Mark Patel, Bruce Philp, Fabian Queder, Robin Riedel, Tanya Rodchenko, Lucy Shenton, Henning Soller, Naveen Srikakulam, Shivam Srivastava, Bhargs Srivathsan, Erika Stanzl, Brooke Stokes, Malin Strandell-Jansson, Daniel Wallance, Allen Weinberg, Olivia White, Martin Wrulich, Perez Yeptho, Matija Zesko, Felix Ziegler, and Delphine Zurkiya.

They also wish to thank the external members of the McKinsey Technology Council.

This interactive was designed, developed, and edited by McKinsey Global Publishing’s Nayomi Chibana, Victor Cuevas, Richard Johnson, Stephanie Jones, Stephen Landau, LaShon Malone, Kanika Punwani, Katie Shearer, Rick Tetzeli, Sneha Vats, and Jessica Wang.

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