We have entered into the final stage of technological evolution, automation or the removal of the human control from the machine.
Given recent developments in AI, the software and robotics industries are on the verge of a major transformation.
In this report, we have a detailed look at the opportunities and challenges offered by these two exciting industries.
How to invest into this theme?
Jim Spohrer directs IBM's open-source AI efforts and gives a presentation on the future of AI, discussing timelines for solving different AI challenges, leaders in the field, and implications for stakeholders in preparing for both the benefits and risks of advanced AI. The document also includes slides on AI progress benchmarks, computing costs over time, economic growth projections with AI, and other emerging technologies that could have a larger impact than AI.
Artificial intelligence has advanced significantly in recent years due to improvements in algorithms, sensors, data collection, and robotics. This document discusses whether Stephen Hawking's warning that AI could end humanity has become more plausible. It also examines the impact of AI on jobs and discusses different generations of AI from narrow to general to superintelligence.
This document provides information about two panels at the HICSS-55 conference on the future of work and augmented intelligence. The panels will take place on January 3, 2022 and discuss social, organizational, and technical perspectives on how augmented intelligence can augment human capabilities. The document lists the panelists and their affiliations for both panels. It also provides context about the conference and links to additional resources.
Complete Update of All Exponential Technologies & Singularity cases and its I...Yuri van Geest
Recent cases and examples of different Exponential Technologies from Singularity University and MIT in field of biotech, nanotech, neurotech, AI, robotics, drones, 3D printing, sensors, Quantified Self, Internet of Things, solar energy, mobile, crowdsourcing.
The document discusses Deloitte Consulting LLP's Enterprise Science offering which employs techniques such as machine learning, data science and advanced algorithms to create solutions for clients. It provides three types of cognitive services: cognitive automation which uses natural language processing to automate processes; cognitive engagement which applies machine learning to personalize customer interactions; and cognitive insight which uses data science and machine learning to detect patterns and support business performance. The document provides contact information for two individuals, Plamen Petrov and Rajeev Ronanki, for more details on Enterprise Science.
This document discusses how advancements in areas like artificial intelligence (AI), the Internet of Things (IoT), sensors, robotics, and quantum computing could lead to breakthroughs for corporations. It notes that there have been recent progress in algorithms, big data, mobile technology, and more. While AI was first studied in 1947, the document questions if now is the time for companies to fully invest in AI. It also asks if we have reached "AI 3.0". Across multiple pages, the document then explores topics like the definition of intelligence, different approaches to AI, applications of robotics, and challenges and opportunities in developing intelligent machines.
This document discusses cognitive automation and artificial intelligence. It begins with definitions of cognition and automation. It then provides a brief history of automation and examples of current automation technologies. It discusses different types of artificial intelligence from narrow to general to super intelligence. It also discusses machine learning and deep learning approaches. The document outlines various applications of cognitive automation and artificial intelligence, as well as challenges. It emphasizes that cognitive automation will change but not eliminate jobs for humans. The presentation aims to inspire students to help build the future of cognitive automation and artificial intelligence.
IBM Watson: How it Works, and What it means for Society beyond winning Jeopardy!Tony Pearson
Here are some key facts about conjunctivitis (pinkeye):
- Conjunctivitis, commonly known as pinkeye, is inflammation or infection of the transparent membrane (conjunctiva) that lines your eyelid and covers the white part of your eye.
- Common symptoms include redness of the eye, eye discharge (watery or pus-like), itching, burning, or irritation. You may also experience increased tear production, sensitivity to light, and crusting of eyelids after sleep.
- Pinkeye is usually caused by a viral or bacterial infection. Allergies can also cause conjunctivitis.
- Viral conjunctivitis is highly contag
Jim Spohrer directs IBM's open-source AI efforts and gives a presentation on the future of AI, discussing timelines for solving different AI challenges, leaders in the field, and implications for stakeholders in preparing for both the benefits and risks of advanced AI. The document also includes slides on AI progress benchmarks, computing costs over time, economic growth projections with AI, and other emerging technologies that could have a larger impact than AI.
Artificial intelligence has advanced significantly in recent years due to improvements in algorithms, sensors, data collection, and robotics. This document discusses whether Stephen Hawking's warning that AI could end humanity has become more plausible. It also examines the impact of AI on jobs and discusses different generations of AI from narrow to general to superintelligence.
This document provides information about two panels at the HICSS-55 conference on the future of work and augmented intelligence. The panels will take place on January 3, 2022 and discuss social, organizational, and technical perspectives on how augmented intelligence can augment human capabilities. The document lists the panelists and their affiliations for both panels. It also provides context about the conference and links to additional resources.
Complete Update of All Exponential Technologies & Singularity cases and its I...Yuri van Geest
Recent cases and examples of different Exponential Technologies from Singularity University and MIT in field of biotech, nanotech, neurotech, AI, robotics, drones, 3D printing, sensors, Quantified Self, Internet of Things, solar energy, mobile, crowdsourcing.
The document discusses Deloitte Consulting LLP's Enterprise Science offering which employs techniques such as machine learning, data science and advanced algorithms to create solutions for clients. It provides three types of cognitive services: cognitive automation which uses natural language processing to automate processes; cognitive engagement which applies machine learning to personalize customer interactions; and cognitive insight which uses data science and machine learning to detect patterns and support business performance. The document provides contact information for two individuals, Plamen Petrov and Rajeev Ronanki, for more details on Enterprise Science.
This document discusses how advancements in areas like artificial intelligence (AI), the Internet of Things (IoT), sensors, robotics, and quantum computing could lead to breakthroughs for corporations. It notes that there have been recent progress in algorithms, big data, mobile technology, and more. While AI was first studied in 1947, the document questions if now is the time for companies to fully invest in AI. It also asks if we have reached "AI 3.0". Across multiple pages, the document then explores topics like the definition of intelligence, different approaches to AI, applications of robotics, and challenges and opportunities in developing intelligent machines.
This document discusses cognitive automation and artificial intelligence. It begins with definitions of cognition and automation. It then provides a brief history of automation and examples of current automation technologies. It discusses different types of artificial intelligence from narrow to general to super intelligence. It also discusses machine learning and deep learning approaches. The document outlines various applications of cognitive automation and artificial intelligence, as well as challenges. It emphasizes that cognitive automation will change but not eliminate jobs for humans. The presentation aims to inspire students to help build the future of cognitive automation and artificial intelligence.
IBM Watson: How it Works, and What it means for Society beyond winning Jeopardy!Tony Pearson
Here are some key facts about conjunctivitis (pinkeye):
- Conjunctivitis, commonly known as pinkeye, is inflammation or infection of the transparent membrane (conjunctiva) that lines your eyelid and covers the white part of your eye.
- Common symptoms include redness of the eye, eye discharge (watery or pus-like), itching, burning, or irritation. You may also experience increased tear production, sensitivity to light, and crusting of eyelids after sleep.
- Pinkeye is usually caused by a viral or bacterial infection. Allergies can also cause conjunctivitis.
- Viral conjunctivitis is highly contag
I made this presentation in my 7th semester of B.Tech as per academic curriculum.
Took help from several videos from youtube and studied some IBM publications.
Cognitive Era is at the dawn. It does not make machines intelligent but instead it allows them to develop cognisance and learn by themselves as we humans do.
I am fascinated and looking forward to contribute my existence in this great thought of almighty came into human mind.
Guys! You could get a nice introduction from this presentation and explain it to others and even it could be used for your academic homework.
Goodluck! GODSPEED!
When computers mimic the capabilities of the human brain, that is artificial
intelligence (AI). From the outside, AI looks like computers that have independent
thoughts. Have no fear, however. The gears of their machine “brains” may be turning,
but, for right now, they’re not really thinking—at least not the way that human beings
think.
Jim Spohrer is the director of IBM's open-source Artificial Intelligence developer ecosystem effort. He has a background in physics, speech recognition, and service science. The document discusses the future of AI, including timelines for solving AI, who the leaders are, the potential benefits and risks of AI, and how other technologies may have a bigger impact. It emphasizes that AI should augment human intelligence and capabilities rather than replace humans.
Artificial Intelligence and Robotics in 2017Mike Quindazzi
Artificial Intelligence refers to the ability of a computer or a computer-enabled robotic system to process information and produce outcomes in a manner similar to the thought process of humans in learning, decision making and solving problems.
The document summarizes a presentation given by Prof. Dr. David Asirvatham on AI and future jobs. The presentation discusses how AI will impact various jobs and industries in the coming years and decades. It notes that many existing jobs will be automated or replaced by machines, but that AI will also create new types of jobs and work. The presentation emphasizes that acquiring new technological skills will be important for workers to adapt and ensure they are not left behind as AI disruption occurs. It concludes that AI will significantly change how people live and work, with humans needing to work together with machines.
This document discusses University-Based Entrepreneurial Ecosystems (U-BEEs) and their role in accelerating regional development. It notes that universities are usually top job creators in regions when they have associated incubators, science parks, data centers, hospitals, schools and other facilities. These U-BEEs connect information flows between ecosystems in cities. The document also provides an outline of its discussion on trends of universities becoming more locally connected research centers and the evolution of cities becoming smarter.
This document discusses the evolution of digital design and the internet of things (IoT). It notes that every tool and service that utilizes digital technology will follow Moore's law and experience accelerated change. As more "things" become connected online, the number of touchpoints and opportunities for stories will multiply. The internet of things (IoT) will connect billions of objects, creating the potential for any object to tell stories and become an interactive experience. New tools like virtual and augmented reality will provide new ways to create and experience stories, potentially turning any object or space into an interactive theater.
The document discusses artificial intelligence (AI) and the potential for Ukraine to be a location for AI research and development investments. It provides background on AI and its current status and trends. It then discusses the state of science and technology in Ukraine, including academic research in AI and the number of AI experts in the country. It also examines the growing Ukrainian startup scene and provides examples of successful AI startups developed in Ukraine. In conclusions, the document rates Ukraine's potential as a location for AI R&D investments in several categories and finds its scores are generally improving.
SITB160: Rise of the Machines Here Come the Bots!Ivanti
This document discusses the rise of artificial intelligence and intelligent bots/assistants in the workplace. It begins with an overview of how AI technologies are starting to transform the IT and end-user experience through intelligent agents, virtual assistants, bots, conversational interfaces, and automation. It then provides more details on concepts like chatbots, virtual assistants, virtual support agents, and different types of AI including narrow AI, general AI, and super AI. The document discusses the history of AI and highlights some of the key innovators and innovations. It also outlines how AI is already present in technologies people use every day like smartphones. Finally, it discusses how AI will impact businesses in two waves - with bots and automation first, followed by decision support
The Mobile World Congress 2017 event highlighted several important trends in mobile and telecommunications, including the growing role of artificial intelligence. Many companies demonstrated virtual personal assistants powered by AI, and analysts predict 20% of smartphone interactions will be with AI assistants by 2019. Additional trends included an emphasis on connectivity innovations for enhanced mobile devices, applications, and the growing Internet of Things sector. While new smartphones and devices incorporated improvements like better cameras and performance, there were no major technological revolutions highlighted at the event.
Some key points:
- Jim Spohrer directs IBM's open-source AI developer ecosystem efforts and has a background in physics, computer science, and service science.
- Service science views the future as one where entities like businesses and societies will compete for collaborators to co-create value and elevate capabilities together over time.
- The future of AI will bring greater acceleration of digital transformation through technologies like IA, which involves collaboration between people, machines, and the organizations that produce the machines.
- Service science and AI take different approaches
British companies helping to turn AI from science fiction into fact | The TimesVishal Chatrath
British AI companies are helping turn AI from science fiction into reality. DeepMind developed an AI system that taught itself to play 49 Atari games without prior instruction. DeepMind was acquired by Google for £300 million. Smaller UK startups are now commercializing more specific AI applications, like using computer vision to enhance images (Magic Pony) or automate customer service responses (Celaton). These "narrow" AI applications demonstrate progress beyond previous limitations and show AI's potential in technologies like smart devices and autonomous vehicles.
La pandemia de COVID-19 ha tenido un impacto significativo en la economía mundial. Muchos países experimentaron fuertes caídas en el PIB y aumentos en el desempleo en 2020 debido a los bloqueos y otras medidas de contención. A medida que se implementan las vacunas, se espera que la actividad económica se recupere en 2021 aunque el panorama sigue siendo incierto.
Expert Witness Fees: A Nationwide CompilationRobert Kehiayan
The Expert Witness Institute has compiled expert witness fees across the nation. See their report here. Presented by Expert R/E Witness. Providing expert witness and litigation consulting services for real estate and commercial real estate. www.expertrewitness.com
I made this presentation in my 7th semester of B.Tech as per academic curriculum.
Took help from several videos from youtube and studied some IBM publications.
Cognitive Era is at the dawn. It does not make machines intelligent but instead it allows them to develop cognisance and learn by themselves as we humans do.
I am fascinated and looking forward to contribute my existence in this great thought of almighty came into human mind.
Guys! You could get a nice introduction from this presentation and explain it to others and even it could be used for your academic homework.
Goodluck! GODSPEED!
When computers mimic the capabilities of the human brain, that is artificial
intelligence (AI). From the outside, AI looks like computers that have independent
thoughts. Have no fear, however. The gears of their machine “brains” may be turning,
but, for right now, they’re not really thinking—at least not the way that human beings
think.
Jim Spohrer is the director of IBM's open-source Artificial Intelligence developer ecosystem effort. He has a background in physics, speech recognition, and service science. The document discusses the future of AI, including timelines for solving AI, who the leaders are, the potential benefits and risks of AI, and how other technologies may have a bigger impact. It emphasizes that AI should augment human intelligence and capabilities rather than replace humans.
Artificial Intelligence and Robotics in 2017Mike Quindazzi
Artificial Intelligence refers to the ability of a computer or a computer-enabled robotic system to process information and produce outcomes in a manner similar to the thought process of humans in learning, decision making and solving problems.
The document summarizes a presentation given by Prof. Dr. David Asirvatham on AI and future jobs. The presentation discusses how AI will impact various jobs and industries in the coming years and decades. It notes that many existing jobs will be automated or replaced by machines, but that AI will also create new types of jobs and work. The presentation emphasizes that acquiring new technological skills will be important for workers to adapt and ensure they are not left behind as AI disruption occurs. It concludes that AI will significantly change how people live and work, with humans needing to work together with machines.
This document discusses University-Based Entrepreneurial Ecosystems (U-BEEs) and their role in accelerating regional development. It notes that universities are usually top job creators in regions when they have associated incubators, science parks, data centers, hospitals, schools and other facilities. These U-BEEs connect information flows between ecosystems in cities. The document also provides an outline of its discussion on trends of universities becoming more locally connected research centers and the evolution of cities becoming smarter.
This document discusses the evolution of digital design and the internet of things (IoT). It notes that every tool and service that utilizes digital technology will follow Moore's law and experience accelerated change. As more "things" become connected online, the number of touchpoints and opportunities for stories will multiply. The internet of things (IoT) will connect billions of objects, creating the potential for any object to tell stories and become an interactive experience. New tools like virtual and augmented reality will provide new ways to create and experience stories, potentially turning any object or space into an interactive theater.
The document discusses artificial intelligence (AI) and the potential for Ukraine to be a location for AI research and development investments. It provides background on AI and its current status and trends. It then discusses the state of science and technology in Ukraine, including academic research in AI and the number of AI experts in the country. It also examines the growing Ukrainian startup scene and provides examples of successful AI startups developed in Ukraine. In conclusions, the document rates Ukraine's potential as a location for AI R&D investments in several categories and finds its scores are generally improving.
SITB160: Rise of the Machines Here Come the Bots!Ivanti
This document discusses the rise of artificial intelligence and intelligent bots/assistants in the workplace. It begins with an overview of how AI technologies are starting to transform the IT and end-user experience through intelligent agents, virtual assistants, bots, conversational interfaces, and automation. It then provides more details on concepts like chatbots, virtual assistants, virtual support agents, and different types of AI including narrow AI, general AI, and super AI. The document discusses the history of AI and highlights some of the key innovators and innovations. It also outlines how AI is already present in technologies people use every day like smartphones. Finally, it discusses how AI will impact businesses in two waves - with bots and automation first, followed by decision support
The Mobile World Congress 2017 event highlighted several important trends in mobile and telecommunications, including the growing role of artificial intelligence. Many companies demonstrated virtual personal assistants powered by AI, and analysts predict 20% of smartphone interactions will be with AI assistants by 2019. Additional trends included an emphasis on connectivity innovations for enhanced mobile devices, applications, and the growing Internet of Things sector. While new smartphones and devices incorporated improvements like better cameras and performance, there were no major technological revolutions highlighted at the event.
Some key points:
- Jim Spohrer directs IBM's open-source AI developer ecosystem efforts and has a background in physics, computer science, and service science.
- Service science views the future as one where entities like businesses and societies will compete for collaborators to co-create value and elevate capabilities together over time.
- The future of AI will bring greater acceleration of digital transformation through technologies like IA, which involves collaboration between people, machines, and the organizations that produce the machines.
- Service science and AI take different approaches
British companies helping to turn AI from science fiction into fact | The TimesVishal Chatrath
British AI companies are helping turn AI from science fiction into reality. DeepMind developed an AI system that taught itself to play 49 Atari games without prior instruction. DeepMind was acquired by Google for £300 million. Smaller UK startups are now commercializing more specific AI applications, like using computer vision to enhance images (Magic Pony) or automate customer service responses (Celaton). These "narrow" AI applications demonstrate progress beyond previous limitations and show AI's potential in technologies like smart devices and autonomous vehicles.
La pandemia de COVID-19 ha tenido un impacto significativo en la economía mundial. Muchos países experimentaron fuertes caídas en el PIB y aumentos en el desempleo en 2020 debido a los bloqueos y otras medidas de contención. A medida que se implementan las vacunas, se espera que la actividad económica se recupere en 2021 aunque el panorama sigue siendo incierto.
Expert Witness Fees: A Nationwide CompilationRobert Kehiayan
The Expert Witness Institute has compiled expert witness fees across the nation. See their report here. Presented by Expert R/E Witness. Providing expert witness and litigation consulting services for real estate and commercial real estate. www.expertrewitness.com
Con estos pronósticos para el índice de la Niña que van de -0,575 hasta -0,6286 donde los pronósticos ARIMA se van frenando en su tendencia a la baja y la ecuación polinómica ya presenta un punto de quiebre de la tendencia a bajar a partir del trimestre ASO se pronostica un próximo evento neutro por eso debemos estar atentos a los reportes de la NOAA y ENFEN y estar preparados para Condiciones Neutras(mas probable) o una Niña débil(menos probable)
El documento discute cómo las actividades humanas como la tala de bosques, la generación de desechos y la producción industrial contaminan el medio ambiente, afectando la fauna, la flora y la salud humana. Aunque estas actividades han sido útiles para la subsistencia, también han dañado la calidad de vida. El documento enfatiza la necesidad de que los humanos tomen conciencia del daño ambiental y usen el conocimiento y la tecnología para preservar los recursos naturales y el medio ambiente para las generaciones futuras.
Hopes for the Paris Climate Summit from 30 November to 11 December are high, but will the COP21 as it is called become a breakthrough for global efforts to reign in climate change? In this dossier, the Clean Energy Wire presents German perspectives on the summit and an international agreement. A series of interviews will highlight positions of
activists, researchers, businesses, politicians and negotiators. The factsheet “Controversial climate summit issues – positions in Germany” gives an overview of the most disputed issues at the COP21 - e.g. climate finance and loss & damage - and highlights the position of the German government and civil society on these topics.
Este documento explica los pasos para insertar referencias bibliográficas con normas APA en Microsoft Word 2013. Explica que primero se debe seleccionar la posición donde se ubicará la referencia en el texto, luego acceder a las herramientas de referencias APA en Word, y finalmente registrar la información de la fuente bibliográfica diligenciando los campos obligatorios para generar la cita en el texto.
Un cliente en un restaurante se queja del sabor de su postre y del cloro en el agua, pero el mesero solo responde con refranes en lugar de dar explicaciones. Cuando el cliente pide la cuenta, el mesero la infla con cargos sin sentido y sigue usando refranes. El cliente se enoja y amenaza con irse sin pagar, haciendo que el mesero finalmente admita haber hecho la cuenta él mismo.
La pandemia de COVID-19 ha tenido un impacto significativo en la economía mundial y las vidas de las personas. Muchos países han impuesto medidas de confinamiento que han cerrado negocios y escuelas, y han pedido a la gente que se quede en casa tanto como sea posible para frenar la propagación del virus. A medida que los países comienzan a reabrir gradualmente, los expertos advierten que es probable que se produzcan nuevos brotes a menos que se encuentre una vacuna o un tratamiento efectivo.
El autor propone utilizar redes sociales como Facebook y correo electrónico para difundir su ensayo sobre los niños en situación de calle. Publicaría el ensayo en Facebook y etiquetaría amigos para que lo compartan, creando una gran cadena de personas que puedan leerlo. También enviaría el ensayo como un archivo adjunto a todos sus contactos de correo electrónico para crear otra cadena de difusión. Otra opción es crear un blog con el ensayo y publicar el enlace en Facebook para que la gente lo visite y comente sobre el tema y posibles sol
Este documento describe varios animales de granja comunes, incluyendo sus características y cómo son útiles para los humanos. Describe que el caballo, burro y yegua se usan para el transporte y que producen potrillos cuando se reproducen. Explica que las vacas dan leche y carne y que los terneros nacen de las vacas y los toros. También cubre cabras, aves de corral, cerdos, ovejas y corderos.
Cómo hacer titeres con material reciclableGladys López
Este documento proporciona instrucciones para hacer títeres con materiales reciclables en 3 oraciones o menos. Describe cómo hacer marionetas de conos de papel higiénico, títeres de vasos y botellas desechables, así como títeres de platos y mesas desechables utilizando materiales como cartón, plástico, tela y lana.
El documento habla sobre la andragogía, que estudia el aprendizaje y autoaprendizaje de adultos a través de la confrontación de ideas. Ofrece principios para diseñar procesos educativos efectivos para el crecimiento de adultos. La educación de adultos debe ser problematizadora donde los educandos se transformen en investigadores críticos.
El conductismo se basa en el modelo de estímulo y respuesta y ve el aprendizaje como una acumulación de asociaciones entre estímulos y respuestas. El humanismo se centra en la persona y ve al ser humano como una totalidad que tiende a la autorrealización. El enfoque cognitivo ve al sujeto como activo en la construcción del conocimiento y propone estrategias de enseñanza. El paradigma sociocultural enfatiza el contexto cultural e histórico y la interacción social en el desarrollo individual.
The document provides an overview of artificial intelligence (AI), including definitions, a brief history, applications, advantages, disadvantages and programming languages used in AI. It defines AI as the development of computer systems able to perform tasks normally requiring human intelligence. The document outlines the history of AI from early works in the 1940s to current applications. It discusses advantages like reducing human error and disadvantages like potential job losses. Finally, it examines popular programming languages for AI like Python, R, Java and Prolog.
This document discusses the future of artificial intelligence. It describes how AI is currently being used in fields like robotics, gaming, and healthcare. The document outlines that in the future, AI may be able to match or surpass human-level intelligence. It also discusses potential risks of advanced AI, such as artificial intelligences that do not have human-like motivations and may pursue goals that do not align with human values. The document concludes that accurately predicting the capabilities and impacts of future AI remains challenging.
Top 10 Advance Technology in (2022).docxAdvance Tech
Advance Technology is an online journal of news and opinions. We have teamed up with tech experts to bring the most beneficial information this upcoming year.
Technology is a blog and video series designed to advance the technological world. Better known for its tech-enthusiast audience.
Technology is an online journal of news and opinions. Along with special projects on upcoming technology or general new technology trends, touches on the tech issues and related discussions.
https://advancetech.info/advanced-technology/
The document discusses artificial intelligence (AI) and its applications. It defines AI as the simulation of human intelligence by machines through reasoning, knowledge, planning, learning and communication. The document outlines several applications of AI such as in medicine, music, robotics, and gaming. It also discusses advantages like more powerful computers and disadvantages like increased costs. The future of AI is described as the new paradigm of non-biological computation and intelligence growing exponentially.
Chapter Three, four, five and six.ppt ITEtxgadisaAdamu
Artificial intelligence (AI) can be summarized as follows:
(1) AI refers to creating intelligent machines that can think and act like humans. It involves machines acquiring knowledge and applying it through experience to solve complex problems.
(2) The key components of human intelligence - learning, reasoning, problem-solving, perception, and linguistic ability - form the basis for developing AI systems.
(3) As data and computing power have increased, AI has advanced from narrow applications to more general problem-solving abilities through techniques like machine learning, neural networks, and deep learning.
AI ppt introduction , advandtage pros and cons.pptxdeepakkrlkr2002
The document discusses artificial intelligence (AI), including definitions of intelligence and AI, comparisons of human and artificial intelligence, applications of AI in various fields like medicine, music, gaming, banking, and telecommunications. It also covers the future growth of AI, advantages and disadvantages of AI, limitations of current AI, and concludes that AI development will significantly change the world if developed responsibly by engineers.
The document discusses artificial intelligence (AI), including definitions, current and future uses, and its impact on jobs. It provides examples of how AI is used in daily life for tasks like speech recognition, customer service, and automated stock trading. While AI may replace some jobs, it also creates new jobs that require skills like computer programming. The document debates whether business decisions should be made by AI, noting potential benefits like objectivity but also challenges around ensuring ethics and avoiding biases.
The Disadvantages Of Artificial IntelligenceAngela Hays
Artificial intelligence is becoming increasingly important in technology and transforming societies. While AI brings benefits like improved efficiency and productivity, it also poses risks like job disruption and increased inequality. Overall, whether AI improves or worsens societies will depend on how its development and application are guided.
This document provides an overview of artificial intelligence (AI) including definitions of different types of AI, a brief history of AI, potential application fields and use cases, and the future outlook for AI. It defines AI as ranging from everyday applications to self-driving cars. It discusses narrow AI, general AI, and superintelligence. The document also summarizes key milestones in the development of AI from 1955 to the present and potential opportunities and challenges of AI including automation, ethics, and politics. It provides examples of Austrian AI startups and their technologies. The outlook suggests that human-level AI may be achieved by 2040 and superintelligence by 2060 with impacts on robotics, climate change, human enhancement, and autonomous
Clipperton - AI - Deep Learning: From Hype to Maturity?Stephane Valorge
The document discusses the emergence of deep learning as the latest development in artificial intelligence. It notes that deep learning saw explosive growth in 2016, with €717M raised for deep learning startups, up from €316M in 2015. Deep learning algorithms have proven able to tackle problems in ways that other AI cannot. The document suggests key factors enabling deep learning's development are increased data availability, greater computing power, and improved algorithms/researchers. It notes that 2017-2018 will be important years to determine if deep learning becomes a mainstream technology or fades, and which companies can achieve significant growth or exits.
This is a presentation on topic Internet Of Things, popularly known as IOT which includes its history, its growing popularity with the world and also the technologies that use IOT Technology.
This document discusses artificial intelligence and its role in the metaverse. It begins by introducing key terms related to the metaverse like virtual reality, augmented reality, blockchain, and AI. It then discusses several technical aspects of the metaverse that AI can enhance, such as natural language processing, machine vision, blockchain, networking, digital twins, and neural interfaces. It also provides an overview of the economic system of the metaverse and how it differs from the conventional economy. Finally, it discusses challenges to developing AI for the metaverse, such as limited training data for image and video understanding.
Will Artificial Intelligence Take Over Human.pdfVkmath
This document summarizes a presentation given by Vishwanath G Karaveeramath on recent trends in AI technology. The presentation addressed common questions around AI, defined artificial intelligence, and discussed how AI is being used in various fields like customer service, social media, graphic design, and chatbots. While AI can perform some human jobs, it has limitations and cannot fully replace humans. Certain fields like medicine, tourism, transportation, sports, food industry, law making, and business/hospitality are unlikely to be fully automated. In conclusion, AI is best in limited applications and cannot take over humans, but it can create a parallel world amongst us.
1) Artificial intelligence is defined as the science and engineering of making intelligent machines, especially intelligent computer programs, that can understand and solve complex problems.
2) AI is increasingly being used in businesses and daily life for tasks like data analysis, customer service, and automated decision making. However, AI still cannot match human skills like creativity, empathy, and social intelligence.
3) While AI may replace some human jobs, it is also expected to create new types of jobs that require skills in computer programming, coding, and financial management. Overall, AI is not expected to eliminate the need for human work but rather change the nature and skills required for many jobs.
The document discusses the use of artificial intelligence in automobiles. It begins by defining artificial intelligence and discussing early research in the field. It then outlines several problems with modern automobiles like vehicle accidents, theft, driver distractions, and maintenance issues. The document proposes several solutions that artificial intelligence could provide, including driverless cars, driver assistance features, using cloud computing and the internet of things. It discusses how AI could enhance infotainment systems and enable more intelligent risk insurance assessments. Finally, it addresses some potential merits and demerits of integrating artificial intelligence into automobiles.
Webinar on technologies that will drive entrepreneurshipmechselva49
The document discusses technologies that will drive entrepreneurship in the coming years, including 3D printing, the Internet of Things (IoT), wearables, artificial intelligence, virtual and augmented reality, and drones. It provides examples of how each technology is currently being used and the opportunities they provide for new businesses and industries. The document concludes that these technologies, while still developing, offer many opportunities for entrepreneurs and governments should support startups in these areas to promote economic growth.
Design Careers in the Science Fiction FutureBill DeRouchey
What design challenges may exist when today’s junior designers are tomorrow’s design leaders? This extrapolates on current technology trends to speculate on what new design challenges may develop over the next 20 years, and how we can prepare ourselves for the unknown future.
The Genesis of BriansClub.cm Famous Dark WEb PlatformSabaaSudozai
BriansClub.cm, a famous platform on the dark web, has become one of the most infamous carding marketplaces, specializing in the sale of stolen credit card data.
Best Competitive Marble Pricing in Dubai - ☎ 9928909666Stone Art Hub
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1. Weekly Barometer 25 janvier 2012
ARTIFICIAL INTELLIGENCE & ROBOTICS
OCTOBER 2015
ATONRÂ PARTNERS SA 12, Rue Pierre Fatio – 1204 GENEVA – SWITZERLAND - Tel: + 41 22 310 15 01 http://www.atonra.ch
2. ARTIFICIAL INTELLIGENCE & ROBOTICS
THE 3RD AND FINAL STAGE OF TECHNOLOGICAL EVOLUTION
Over the years, we have extensively covered the ongoing technological evolution in our
Weekly Barometers. But when meeting with investors, we often face the same questions
and notably: What is Artificial Intelligence really about?
Artificial Intelligence is about computer systems doing what is usually performed by the
human intelligence
That’s why we believe we have entered into in the 3rd and final stage of the technological
evolution in which:
automation allows computer systems to control other machines
and, more importantly, to replicate the five human senses
While AI is not a new concept (1930s), what really makes
it interesting today is the conjunction of different factors:
rising computing power, reliable networking, more R&D
efforts from universities and labs, advancement in new
materials and, last but not least, the continued need from
corporations to improve productivity
However this is a development that is just beginning and before we can have all of the five
senses truly replicated, many years (if not decades) of R&D are still ahead of us
In addition we would be wary of pockets of hype: some innovations are called AI but have
nothing to do with it as they rely on existing technologies and mainly on “data extraction”
2
3. ARTIFICIAL INTELLIGENCE & ROBOTICS
THE DIFFERENT STAGES OF TECHNOLOGICAL EVOLUTION
The different stages of technological evolution can be summarized as follows:
TOOL (prehistoric man) → This was the 1st stage of technological evolution
MACHINE (the British industrial revolution) → Represents the 2nd major stage of tech
evolution
AUTOMATION is the 3rd and final one, with the removal of the human control from the
machine
Evolution (as per the Darwin theory) is nature’s modification through small variations over a
long period of time, but recent technologies modified:
the speed at which changes have been taking place since the 2nd half of the 20th century
the potential to change humans’ biological boundaries
Nothing can stop the pace of innovation (it’s in human nature) and today’s and tomorrow’s
techniques are only giving a boost to the ongoing pace of innovation
A sole item is not responsible for the take-off of AI and Robotics, rather the combination of
several techniques. But two variables are acting as very important catalysts:
Internet → Plays a very important role as an information and collaborative tool
Productivity → This is the real engine (together with competition) for corporations to stay
ahead (and keep alive) vs. the competition
3
4. ARTIFICIAL INTELLIGENCE & ROBOTICS
WHERE ARE WE HEADING?
In order to better understand and possibly answer this question we must first understand the
human nature itself
According to Prof. Nayef Al-Rodhan, a world recognized neuroscientist who heads the
Geopolitics and Global Futures Program at the Geneva Centre for Security Policy
Human Nature is emotional and amoral
if humans have to deal with hostile environments, moral norms won’t prevail
a minimum of well-being in addition to a common ownership, must be earned
AI tries to master the methods of biology (including the human intelligence), one of the best
examples being the Blue Brain Project in Lausanne, Switzerland, which got $1.3B in funding
the idea is that we could have (not before some decades) a merger of biology and human
technology that would expand human intelligence
While in the Western world this is seen as worrisome
(the Lausanne example shows how mindsets evolve),
Japan has a different view
Japanese believe that everything (and every object)
has a spirit, explaining why the country is one of the
leaders in the Robotics space
and notably the first country to have come out with a
robot (developed by Mr. Hiroshi Ishiguro) that looks and
behaves as an human
4
5. ARTIFICIAL INTELLIGENCE & ROBOTICS
WHERE ARE WE HEADING AND WHERE DO WE CURRENTLY STAND?
According to Vernor Vinge “We are on the edge of change comparable to the rise of human
life on Earth”
5
6. ARTIFICIAL INTELLIGENCE & ROBOTICS
THE MERGER OF TECHNOLOGY AND HUMAN INTELLIGENCE
This picture is self-explanatory…From “The Singularity is Near” by Ray Kurzweil
6
7. ARTIFICIAL INTELLIGENCE & ROBOTICS
DO WE REALLY NEED TO WORRY ABOUT AI AND ROBOTS?
A serious debate has been taking place in the last two years about the possible impact of AI
and Robots on many fields of the economy and on the role of humanity
Mr. Stephen Hawking warned the world about the possible dangers of AI stating that:
“the development of full artificial intelligence could spell the end of the human race”
Elon Musk (founder of Tesla) called AI as:
“our greatest existential threat” and “summoning the demon”
Mr. Bill Gates also stated that:
“I don’t understand why some people are not concerned with AI”
The irony here is that these people all use or stand to benefit
from AI:
Mr. Hawking uses an AI system that learns how the professor
thinks and then suggests words he might want to use next
Mr. Musk’s Tesla cars already come with a built-in driver assist
system and his company is almost ready to have cars driving without human assistance →
Mr. Musk was also one of the early investors in DeepMind (bought by Google)
and Microsoft is currently developing the Personal Agent project, a system which helps
people with their memory, attention and focus
7
8. ARTIFICIAL INTELLIGENCE & ROBOTICS
A “SOMEWHAT” DIFFERENT VIEW FROM GOOGLE AND DEEPMIND
Since Google hired Ray Kurzweil in 2012, as director of engineering focused on machine
learning and language processing,
The company has made many interesting acquisitions and notably Jetpac and DeepMind
Jetpac is a system that looks for visual cues to determine contextual information about the
area where a photo was taken, and reviews that visual information to determine what’s
actually happening in a given location
DeepMind (a UK start-up) on the other hand is much more intriguing and vague but tries to
build a system that thinks…
… based on deep learning (or artificial neural networks), in which the function of the brain is
mimicked, and tasks can be solved without prior programming
But what’s even more interesting is that Google agreed to establish
an ethical board to ensure DeepMind’s artificial intelligence technology isn’t abused
and it is believed (not confirmed by Google) that Google already uses a handful of DeepMind
features for its search engine
One interesting feature of the DeepMind acquisition is that the founder (Mr. Demis
Hassabis) has developed much of his interest by developing computer games
8
9. ARTIFICIAL INTELLIGENCE & ROBOTICS
VIDEO GAMES ARE A MAJOR FIELD OF EXPERIMENTATION FOR AI
On its website, Microsoft Research says the following about AI: “Let us begin with a
provocative question: In which area of human life is AI currently applied the most? The
answer, by a large margin, is Computer Games.“
Indeed, the video game industry can be seen as a pioneer in
the field of AI:
most games have been using AI to generate intelligent
behaviors in non-player characters and opponents
since the industry’s take-off in the 70s and 80s and its most
basic characters
until today’s realistic characters
Today, the relation between AI and video games is as strong
as ever:
while Microsoft talks about “a mutually beneficial combination”.
On the one hand, AI technology can provide solutions to an increasing demand to add
realistic, intelligent behavior to the virtual creatures that populate a game world
on the other hand, as game environments become more complex and realistic, they offer a
range of excellent testbeds for fundamental AI research.”
Google, when experimenting AI, does it with video games. Notably, Google’s DeepMind AI
software played retro Atari games. Out of 49 games, Google's AI outperformed humans in 29
games and the best-known algorithmic methods in 43 cases
9
10. ARTIFICIAL INTELLIGENCE & ROBOTICS
VIDEO GAMES AND AI: VR COMING NEXT
Virtual reality, the next evolution in gaming, will only strengthen the interactions between AI
and video games
While research into virtual environments and research into AI have largely been carried out
separately, by different groups of people with different objectives, convergence is now
apparent
as game developers now have to produce intelligent digital environments
Interestingly, Facebook lists both AI and VR among its major initiatives and is expected to
make a major push into VR next year when it releases the Oculus headset
Zuckerberg: “we’re working on VR because I think it’s the next major computing and
communication platform after phones”
In conclusion, video games are a major
area of experimentation for AI and what
happens in this industry should be watched
closely
10
11. ARTIFICIAL INTELLIGENCE & ROBOTICS
WHERE’S THE “HOT MONEY” GOING?
With some high-profile acquisitions made in the past two years by Google and others such
as Apple, Facebook, Baidu etc.
And dramatic improvements in technologies and materials, and the constant need by
corporations to be more efficient and competitive in an ever increasing globalized world
a lot of VC money has started to flow into this sector
ranging from drones to medical and non-medical robots, sensors, computer vision, speech
recognition, energy savings…
According to a Bloomberg study, machine learning and deep learning saw a 20-fold increase
in VC money from 2010 levels (admittedly from very low levels and mainly into startups)
This is particularly important for the future of AI & Robotics, as competition among startups
and bigger companies is to drive future growth which:
is to drive even more innovation (an innovation virtuous cycle is thus in sight) and more
products and services in the market that need to be more effective and valuable
We think that interest is likely to get much stronger in the coming years, as all the economic
sectors are to be impacted including financial, retail, marketing, consumer electronics,
accounting…
With this in mind we believe that we are only at the beginning of the cycle, which is likely to
last for the next few years
11
12. ARTIFICIAL INTELLIGENCE & ROBOTICS
MONETIZING AI: TRANSFORMING DATA INTO REVENUE STREAMS
Data is growing exponentially, supported by the adoption of cloud, mobile and social
networking and soon IoT, with IDC/EMC claiming that the world’s information is doubling
every 18 months
As such Artificial Intelligence systems or applications associated with AI are set to become
more accurate and more mainstream in the next few years as:
AI systems are fed with data and do learn from data (any kind of data including unstructured
data) → The more the data, the better DeepLerning techniques are to become
Firms are incentivized to get access to new revenue streams and/or better efficiencies by
investing in data mining and data-analysis systems, however such systems:
rely (at the design/programming level) on people with very high skills who are expensive, as
such only accessible to a limited number of companies
and this largely explains why the bulk of data (90%) is still unused
During the last few years, very successful SaaS business models (such as Salesforce in
CRM) took off, as they were able to offer products with a clear utility function and accessible
to the most at a competitive price
We believe that the best business models around tomorrow’s applications based on AI (such
as predictive modelling, decision analysis etc.) are likely to be SaaS-based
allowing corporation to boost their sales and reduce costs
12
13. ARTIFICIAL INTELLIGENCE & ROBOTICS
MONETIZING AI: MAIN APPLICATIONS IN THE CORPORATE WORLD
While analytics software have been historically used for risk assessment purposes,
notably in the insurance/banking sector by helping to define, measure, and manage risk
(credit scoring…)
The combination of Big Data and algorithms makes them much more powerful today and
enable a new range of opportunities
Decision Analytics notably is rising fast:
these tools help to price product and services, detect and prevent fraud, predict future
losses…
In other word, they power the decision-making process in almost all industries and functions
Specifically, marketing applications are numerous:
decision analytics software tracks and analyzes marketing campaigns, KPIs and customer
behavior to identify untapped marketing opportunities
and can make recommendations on corporate marketing programs and on how to acquire
and retain customers
13
14. ARTIFICIAL INTELLIGENCE & ROBOTICS
DATA STANDS AT THE CORE OF AI SYSTEMS
Big Data (and large data sets) has been a boon for AI, as the more the data the better AI systems
perform, as some of those systems use statistical and probabilistic models
When we speak to people working in the AI (or cognitive technologies) space, one of the main
recurring problems is data availability
and accessibility
Most of the techniques used in AI try to discover patterns
from large data sets
for example in NLP (natural language processing)
large data sets are needed to have an automatic
system that extracts the main topics from the
document and self generate a correct and
readable text
another example comes from Computer Vision,
where a large database of images is needed as a
way to train the model to recognize persons,
shapes, colours etc. and improve for example
the ability by such systems to classify objects
If data is not available, most of the algorithms developed are useless, as they can not train
themselves in order to suggest better results
14
15. ARTIFICIAL INTELLIGENCE & ROBOTICS
DO THOSE CONTROLLING DATA STAND TO CONTROL EVERYTHING?
Lately we held discussions with one of the world’s prominent professors in the field of AI
he told us that he had a great patented algorithm which could match people’s wishes in terms
of hotel accommodation with hotels’ own service offerings and availability
When his lab asked for more data from the likes of TripAdvisor, he was told that these
companies were thinking to develop such systems by their own
and that they would not give away nor sell their data
While there’s a ton of data available nowadays, with this example we have shown that in the
future this data might not be accessible to all
And those corporations with huge data sets (such as Google, Facebook, Amazon etc.)
coming from from billions of Internet-connected devices are the ones to stand out and the
likely winners
unless new business models (I give you access to my system which has a utility function in
exchange for data collection) are invented by new startups
Our key questions (we have no answers yet) are the following:
why are people so silly to give away their data (which has a great value) for nothing?
why the concept of a “free” internet is only applicable to a few?
what if the Telecom Operators (those transmitting data and as such sitting on a golden mine)
are to take control of this data? We think this explains why Facebook and Google are to
develop their Telecom infrastructure even more
15
16. ARTIFICIAL INTELLIGENCE & ROBOTICS
MONETIZING AI IN THE REAL WORLD: ROBOTS AND IoT
While AI is already extremely powerful, it is essentially a geek stuff for now
sophisticated software enabling to extract and analyze data and powering the decision-
making process
If AI wants to show off its abilities at some point and become more mainstream, it will have
to interact with the real world
Robots will obviously be a major application
but AI can also interact with the real world through the RFID (and IoT) technologies, which we
have long been highlighting in past Weekly Barometers
As no one in the market has really the financial power of Google, those willing to enter the AI
and Robotics race are obliged to think market-wise
and to come up with products that generate cash-flows, which could eventually be reinvested
into R&D
There’s a number of start-ups and listed companies currently working in AI for a myriad of
applications (from advertising to security, defense etc.) and this is a field that is likely to
continue to see a lot of inflows in the next few years
due to the potential of the addressable market
in addition to the discoveries it might bring and the problems it might solve
16
17. ARTIFICIAL INTELLIGENCE & ROBOTICS
RISE OF THE (COLLABORATIVE) ROBOTS
As commented in previous pages, robots and, specifically, collaborative robots
are likely to be of AI’s main applications
We have long been highlighting the promising outlook for the industry, stating that the next-
generation of robots has a compelling ROI proposition
keeping in mind that robots can work 24/7, never call in sick, never go on strike…
Current generations of robots are easier to program and come with features such as vision
and touch technologies
making them a first choice for all the heavy lifting and dangerous tasks and almost all the
precise work
Collaborative robots can work alongside humans without a safety cage, meaning they can
easily be deployed within a factory
And last but not least,
collaborative robots are much less expensive than
traditional robots, suggesting that deploying a fleet
of robots for a large industrial group is quite easy
$30-40k on average vs. $50-250k for traditional
industrial robots + high integration costs
17
18. ARTIFICIAL INTELLIGENCE & ROBOTICS
NEW PRODUCT CYCLE TO PROPEL THE ROBOTIC INDUSTRY
Importantly, we believe that we are at the early stage of a new product cycle as most legacy
players (ABB, Fanuc, Kuka…) and newcomers (Universal Robots, ReThink Robotics)
are expected to ship new products this year or next
while privately-held ReThink Robotics is now shipping Sawyer at less than $30k (not far from
Universal’s price point)
ABB has announced YuMi, priced at $40k
and Kuka, which currently retails a collaborative robot which we do not view as competitive
(price point above $50k), is expected to launch a “low-cost” version in 2016
These new products and price points come at a time when rising labor costs in emerging
markets and more specifically in China
will probably spark some factories to switch from humans to robots,
something Foxconn has talked about for a pretty long time
Hence, we believe these numerous product introductions and lower price points will
significantly expand the market and suggest that current expectations leave room for upside
18
19. ARTIFICIAL INTELLIGENCE & ROBOTICS
LOW EXPECTATIONS LEAVE ROOM FOR MAJOR UPSIDE
The International Federation of Robotics expects only mid-teens shipment growth for the
robot market over coming years (with logical price erosion)
That sounds like a very conservative forecast given the +29% shipment growth recorded last
year and the new product cycle
To put this another way, there are roughly 1 billion people performing manual labor around
the world:
assuming robots replace only 5% of these jobs in 10 years, the robot market would reach
50M units or 5M units per year on average, compared to 229,000 in 2014…
19
20. ARTIFICIAL INTELLIGENCE & ROBOTICS
“SOFTWARE” TO RESHUFFLE THE CARDS IN THE ROBOT INDUSTRY
Contrary to what most people think
we believe the barriers to entry are pretty low in the Robot industry
A robot is basically a combination of
steel, servo-motors, sensors, tools to perform tasks (such as cutting lasers and other
equipment) and software (OS, machine vision…)
Considering that steel, servo-motors, sensors and tools are widely available
new players can easily step in and develop their own robots, as illustrated by the emergence
of companies such as ReThink and Universal Robots in the last few years
Even if we admit that gaining credibility and customers is not an easy task (as in most
businesses), in our view the advent of collaborative robots could dramatically reshuffle the
cards in the robot industry, as software becomes a critical component
as an illustration, ReThink Robotics’ first robot, Baxter fell behind Universal's model on speed
and precision, according to Frank Tobe of industry site The Robot Report and as a
consequence, Baxter shipments were rather disappointing
but Rethink made major software improvements on Baxter during 2014, with the latest
software release doubling the robot’s speed and making it better equipped for higher-
performance tasks
It clearly suggests robots are not a simple hardware business anymore, but a mix of
hardware and software that users can upgrade over the air like an iPhone or a Tesla
20
21. ARTIFICIAL INTELLIGENCE & ROBOTICS
SUPPLIERS APPEAR AS A SAFER BET THAN ROBOT MANUFACTURERS
In view of the disruptions seen in many industries (mobile phone business, car industry) in
recent years due to the rising importance of software
we wouldn’t be surprised to see robot start-ups such as ReThink Robotics gain significant
share at the expense of incumbents
Notably as these companies have the backing of well-known venture capitalists and tech
entrepreneurs (ReThinks has notably Bezos Explorations among its shareholders) who will
connect them with the right software engineers and skills
Hence, we would be wary of most incumbent players,
notably those that already enjoy high margins (such
as Fanuc, 30-40% margin)
And would favor suppliers, as they will clearly
benefit from the industry shipment growth
whoever wins the robot race, in the following fields:
providers of sensors, vision and range-finding
technologies such as Keyence
providers of motors
providers of cutting lasers and tools for robots
vendors of testing and measurement equipment
21
22. ARTIFICIAL INTELLIGENCE & ROBOTICS
ULTIMATELY, THE TECH GIANTS COULD PLAY A MAJOR ROLE
In a near future, home and medical robots are likely to be all the rage…
and to be the new battlefield of tech giants if one assumes that this
business will reach the unit shipments and/or margins traditionally
achieved by device makers and Medtech companies
Confirming our view that software could make the difference in the
robot industry
Google has bought a flurry of robotics start-ups in the last
24 months, among which Boston Dynamics, Redwood Robotics,
Meka Robotics or Japan-based Schaft
and has filed a patent for developing “methods and systems for
robot personality development” that will allow to download from
the cloud personality traits for robots
By combining its robotics assets with AI (in which it is expected to
play a major role), Google could have a cutting-edge in next-gen robots
Other tech giants do not remain idle: While Softbank has developed the
Pepper robot and an OS that controls robots in the same way Google’s
software runs smartphones and tablets
Sony has been working on a next generation mechatronic device that
is seen as a tool for future seniors and/or nursing home facilities
Amazon has a clear interest in robots as it needs to automate as much as possible its
warehouses while Apple needs to find significant growth drivers
22
23. ARTIFICIAL INTELLIGENCE & ROBOTICS
M&A IN SIGHT
Against this backdrop, we believe that the small players are obvious targets either for large
incumbents such as ABB or tech giants
Following the Universal acquisition by Teradyne, a US-listed provider of test equipment for
the semi and electronics industries
ReThink could be next on the M&A list even if some of its backers (notably Goldman Sachs)
will probably prefer an IPO
Kuka could be the other M&A target as its relatively small market cap (EUR2.5bn) that could
easily be swallowed by a large group
A clear preference for suppliers over robot makers
Given the competitive risks we identify in the robot
manufacturing business, we have a preference for
suppliers over robot makers
as the former will clearly benefit from any
industry shipment growth while the latter
could be affected by volume and pricing pressures
And among robot makers, we tend to focus on the
smaller names such as Kuka
that could be taken over and on medical robot
makers, which are less exposed to competitive
threats
23
24. ARTIFICIAL INTELLIGENCE & ROBOTICS
IoT & RFID: EVERY SINGLE OBJECT TO THE INTERNET AND TO… AI
As commented previously, we believe the RFID and IoT technologies will enable AI to
interact with the real world
RFID enables data transmission between an object and a reader and is seen as one of the
enablers of the IoT revolution
Historically, RFID labels have been used to make the tracking and location
of items much easier and more efficient than barcode technology,
specifically in the retail sector
Interestingly, many new applications are emerging for RFID tags as the
technology improves
Notably, RFID tags can extract and record data from a variety of
items such as:
concrete, with Holcim/Lafarge including tags in its products to track them and,
more importantly, to collect data on the material qualities over time
temperature-sensitive products (pharmaceuticals or biomedical items)
24
25. ARTIFICIAL INTELLIGENCE & ROBOTICS
IoT & RFID: WHEN, TOMORROW, NO HUMAN DECISION IS NEEDED
In a near future, it is highly likely that the data collected through RFID will be processed by
AI software that will take decisions based on its conclusions
Just a few examples:
based on real-time information of a
store network’s inventories, AI will
decide to increase or reduce factory
production/shipments
in hospitals, the combination of AI and RFID
will enable care tracking and, specifically, more
effective and more timely care provision
in your (smart) home, RFID will detect when
you are running low on your favourite products
(beverages, food, dishwasher detergent…), and AI will detect and order them without your
intervention in quantities that are consistent with your consumption habits
It looks like the Amazon dash button but goes one step further as there is no need of human
intervention
Hence, smart homes will not only be about a set of smart devices, but about an AI ecosystem
that adapts to changes in behavioral patterns, anticipates needs and adjusts home
automation accordingly
25
27. ARTIFICIAL INTELLIGENCE & ROBOTICS
OUR INVESTMENT PRODUCTS AND PROCESS
On July 24 2015, we launched an AMC (actively managed certificate) on Innovative
Technologies
the certificate is focused on innovations that we believe will reshape the global economy in
the next few years, such as robots, artificial intelligence, the internet of things, cyber security,
graphene and many others…
Earlier this month, we launched another AMC totally focused on AI and Robotics
We clearly have a long term approach to these investment themes, which we have actually
been covering for years, and try to pick the winners in each industry or subsector
hence, rebalancings in the AI & Robotics certificate should not happen too often
however, they should be much more frequent in the Innovation certificate as we will have to
make asset allocation decisions between different subsectors
Given the high beta nature of tech investments and specifically of AI software names, our
certificates are pretty well diversified with 25-30 stocks on average
that said, we have a couple of bets in order to generate alpha
and in order to preserve potential alpha generation, we plan to have no more than 35 stocks
as we consider that extreme diversification does not generally help portfolio performance
Globally, the Innovation certificate should be less volatile than the AI & Robotics one as it is
exposed to different tech subsectors with specific dynamics
In a near future, we’d like to launch an AMC… managed by AI
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29. ARTIFICIAL INTELLIGENCE & ROBOTICS
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last 12 months.
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