This document discusses future scenarios and trends in the games market. It begins by noting that digitalization has only just begun and is currently at 1% completion. Several trends are then outlined, including augmented reality, convenience technologies, embodiment, platformification, automation, intelligence, and singularity/brain interfaces. For each trend, potential future scenarios are briefly described. Examples include augmented humans, intelligent game design, brain-computer interfaces creating ultra-realistic game experiences, and games connecting brains directly. The document concludes by arguing that complexity in the digital world cannot be protested, only designed for.
Alles erst der Anfang – Die Digitalisierung lernt laufenTim Bruysten
The document discusses the progression of digitalization and its impact on society. It outlines several emerging technologies like artificial intelligence, robotics, augmented reality and more. It then presents scenarios of how these technologies could shape the future, from digital and aesthetic societies to a singularity where artificial intelligence surpasses human intelligence. The document also notes challenges like preserving individual privacy and establishing new forms of cooperation as digitalization increases connectivity between all aspects of life.
1) Isaac Asimov coined the term "robotics" and helped inspire the field through his science fiction writings, envisioning possibilities for robotics and AI.
2) Advances in robotics and AI are allowing for more human-like robots that can assist with tasks too dangerous for humans, like deep sea exploration, as well as interact with humans through advances in areas like tactile sensors and artificial skin.
3) AI is demonstrating superhuman capabilities through techniques like deep learning, where machines can learn from vast amounts of data on their own, exceeding human abilities in narrow domains like game-playing or image recognition.
Virtual Reality 2015: A Renaissance provides an overview of virtual reality (VR) and its resurgence. The document discusses the history and definition of VR, how it will change industries like gaming, education and more. It also reviews emerging VR products in 2015/2016 like the Oculus Rift and how libraries are exploring VR.
CES 2016: innovative items and their everyday applicationPaul Fédérici
The CES 2016 shed light on new trends as well as very innovative products.
This report addresses their characteristics and potential future application for further adoption.
Twitter reported its second quarter 2014 earnings. It saw growth in key metrics such as monthly active users (MAUs), which grew 24% year-over-year to 271 million. Timeline views grew 15% to 173 billion. However, engagement as measured by timeline views per MAU declined 7% year-over-year. Revenue grew 124% to $312 million, driven by strong advertising revenue growth. Adjusted EBITDA improved significantly to $54 million compared to $2 million in the prior year quarter.
The document describes an offer locator mobile app that allows users to create a profile specifying their preferences and locations. The app's intelligent backend engine then periodically pushes personalized offers and deals suited to each user's interests to their mobile phones. The app provides web interfaces for merchants to upload offers and mobile interfaces for customers to view tailored deals. It also features archived offers categorized by product and provides coupon details for each personalized offer.
While You Focus On Running RFID Talks To Your Friends,
AUTOMATIC CHECK IN UPDATES and PHOTOS FOR ALL RUNNERS
THE RFID SCANNER SCANS THE SPEED
POSITION AND STATUS AND UPDATES IT
ON FACEBOOK IN SYNC WITH
THE PHOTOGRAPHS
This report summarizes the results of stress testing performed on Spanish banks' credit portfolios. It finds that under a base scenario, banks would need to recapitalize by $X billion by 2014 to maintain a core tier 1 capital ratio of 9%. Under an adverse scenario, recapitalization of $Y billion would be needed by 2014 to achieve a ratio of 6%. The report recommends that banks cover forecasted credit losses through retained earnings, capital injections, asset sales, and industry consolidation.
Alles erst der Anfang – Die Digitalisierung lernt laufenTim Bruysten
The document discusses the progression of digitalization and its impact on society. It outlines several emerging technologies like artificial intelligence, robotics, augmented reality and more. It then presents scenarios of how these technologies could shape the future, from digital and aesthetic societies to a singularity where artificial intelligence surpasses human intelligence. The document also notes challenges like preserving individual privacy and establishing new forms of cooperation as digitalization increases connectivity between all aspects of life.
1) Isaac Asimov coined the term "robotics" and helped inspire the field through his science fiction writings, envisioning possibilities for robotics and AI.
2) Advances in robotics and AI are allowing for more human-like robots that can assist with tasks too dangerous for humans, like deep sea exploration, as well as interact with humans through advances in areas like tactile sensors and artificial skin.
3) AI is demonstrating superhuman capabilities through techniques like deep learning, where machines can learn from vast amounts of data on their own, exceeding human abilities in narrow domains like game-playing or image recognition.
Virtual Reality 2015: A Renaissance provides an overview of virtual reality (VR) and its resurgence. The document discusses the history and definition of VR, how it will change industries like gaming, education and more. It also reviews emerging VR products in 2015/2016 like the Oculus Rift and how libraries are exploring VR.
CES 2016: innovative items and their everyday applicationPaul Fédérici
The CES 2016 shed light on new trends as well as very innovative products.
This report addresses their characteristics and potential future application for further adoption.
Twitter reported its second quarter 2014 earnings. It saw growth in key metrics such as monthly active users (MAUs), which grew 24% year-over-year to 271 million. Timeline views grew 15% to 173 billion. However, engagement as measured by timeline views per MAU declined 7% year-over-year. Revenue grew 124% to $312 million, driven by strong advertising revenue growth. Adjusted EBITDA improved significantly to $54 million compared to $2 million in the prior year quarter.
The document describes an offer locator mobile app that allows users to create a profile specifying their preferences and locations. The app's intelligent backend engine then periodically pushes personalized offers and deals suited to each user's interests to their mobile phones. The app provides web interfaces for merchants to upload offers and mobile interfaces for customers to view tailored deals. It also features archived offers categorized by product and provides coupon details for each personalized offer.
While You Focus On Running RFID Talks To Your Friends,
AUTOMATIC CHECK IN UPDATES and PHOTOS FOR ALL RUNNERS
THE RFID SCANNER SCANS THE SPEED
POSITION AND STATUS AND UPDATES IT
ON FACEBOOK IN SYNC WITH
THE PHOTOGRAPHS
This report summarizes the results of stress testing performed on Spanish banks' credit portfolios. It finds that under a base scenario, banks would need to recapitalize by $X billion by 2014 to maintain a core tier 1 capital ratio of 9%. Under an adverse scenario, recapitalization of $Y billion would be needed by 2014 to achieve a ratio of 6%. The report recommends that banks cover forecasted credit losses through retained earnings, capital injections, asset sales, and industry consolidation.
Alles erst der Anfang - Die Digitalisierung lernt laufenTim Bruysten
The document discusses how digitalization is still in its early stages of development. It begins with an introduction from Prof. Tim Bruysten on the topics of departure, the inner circle, and saving the world. It then goes on to provide examples of emerging digital technologies and their potential impacts and applications. These include artificial intelligence, augmented reality, brain-computer interfaces, 3D printing, drones, and more. It discusses how digitalization will transform various industries and societies. The presentation examines challenges and opportunities that new digital networks and algorithms may bring.
Artificial Intelligence (AI) has been a topic of research since the term was first coined by John McCarthy in 1956. In the last six decades, development of AI has experienced an uneven ride. Recently, the successful application of deep learning in Google AlphaGo triggered a wave of revolutionary advances in AI.
Robotics and AI have developed as inseparable twins. This presentation will briefly trace the history of the relationship between the two, survey various types of robots, and identify the contribution of AI to robot intelligence. In particular, we will consider the robot system architecture and how AI techniques are associated with its various capacities and functions.
Technology is replacing people in many jobs, but also creating new and better work and conditions in some cases. Scientists have estimated that machines could take 50% of our jobs in the next 30 years. Who will own the machines? Join me to explore the future challenges and issues of AI and robotics.
Ai and robotics: Past, Present and FutureHongmei He
Abstract: Artificial Intelligence (AI) has been a topic of research since the term was first coined by John McCarthy in 1956. In the last six decades, development of AI has experienced an uneven ride. Recently, the successful application of deep learning in Google AlphaGo triggered a wave of revolutionary advances in AI.
Robotics and AI have developed as inseparable twins. This presentation will briefly trace the history of the relationship between the two, survey various types of robots, and identify the contribution of AI to robot intelligence. In particular, we will consider the robot system architecture and how AI techniques are associated with its various capacities and functions.
Technology is replacing people in many jobs, but also creating new and better work and conditions in some cases. Scientists have estimated that machines could take 50% of our jobs in the next 30 years. Who will own the machines? Join me to explore the future challenges and issues of AI and robotics.
IoT With the Best: The Future of Social Robotics - Nicolas RigaudWithTheBest
This document discusses social humanoid robots and Pepper, an autonomous humanoid robot created by SoftBank Robotics. It provides an overview of Pepper, including its hardware specifications and software. Examples are given of how Pepper is being used by companies like Nestle and Carrefour to assist customers and increase sales. Lessons learned are discussed around designing interactions with users and anticipating failures. The document encourages attending community events and joining the developer community to learn more about creating applications for Pepper.
Artificial intelligence is becoming increasingly prevalent in daily life. While AI has many applications and benefits, it also poses some challenges and concerns. AI is used for tasks like playing games, medical diagnoses, managing social media data, and self-driving cars. However, advanced chatbots like ChatGPT have caused disturbances by enabling cheating and writing papers for students. As AI systems continue to evolve and learn on their own from massive online data, some experts worry that AI may eventually surpass human levels of intelligence and potentially pose risks if not developed safely. Overall, AI research aims to address challenges around employment impacts and ensuring AI systems remain beneficial to humanity.
Technologies Changing Industrial Park Requirements and Collective Intelligenc...Jerome Glenn
Technologies are changing the requirements for industrial parks and collective intelligence systems can help anticipate future changes. As artificial intelligence, computational sciences, and other emerging technologies converge their capabilities will greatly accelerate progress beyond what any single technology can achieve alone based on Moore's law. This will change what is possible and require new thinking about the future of work, economics, and how industrial parks can support tenants through consulting, maker hubs, industrial ecology networks, and collective intelligence systems.
Artificial Intelligence Can Now Generate Amazing Images – What Does The Mean ...Bernard Marr
Figuring out the formula to help computers see as good (or better than) humans has been a challenge. Today, artificial intelligence can not only identify the subject of an image, but it’s also creating realistic images and original artwork. With the capability of image creation and other skills, artificial intelligence continues to revolutionize just about every industry.
AI and IoT : How do IoT and AI change the world?Jonathan Jeon
1) The document discusses how artificial intelligence (AI) and the Internet of Things (IoT) will transform the world. It describes how connected devices and data are growing exponentially and how AI can analyze that data.
2) The largest barrier to smart home adoption is technological fragmentation, but AI may help overcome this by enabling connected intelligence across different systems.
3) As AI and IoT advance, they will continue enhancing many areas of life from art to transportation. However, this also raises issues around jobs, inequality, bias, security, and human autonomy that will need addressing.
The document discusses the history and significance of the HP garage in Palo Alto, California. It notes that HP was founded in this garage in 1938 and it is considered the "Birthplace of Silicon Valley." HP's first product was an audio oscillator built in the garage. One of HP's first customers was Walt Disney Studios, which purchased eight oscillators to test sound systems for the film Fantasia.
https://telecombcn-dl.github.io/2017-dlai/
Deep learning technologies are at the core of the current revolution in artificial intelligence for multimedia data analysis. The convergence of large-scale annotated datasets and affordable GPU hardware has allowed the training of neural networks for data analysis tasks which were previously addressed with hand-crafted features. Architectures such as convolutional neural networks, recurrent neural networks or Q-nets for reinforcement learning have shaped a brand new scenario in signal processing. This course will cover the basic principles of deep learning from both an algorithmic and computational perspectives.
The document provides an overview of artificial intelligence (AI), including:
- Definitions of AI and a brief history of the field from early computers through modern machine learning advances.
- Descriptions of how AI works using artificial neural networks and logic-based systems, as well as examples like expert systems and current applications in areas such as personal assistants, robotics, and computer vision.
- A discussion of the current status and future potential of AI, along with challenges for developing true human-level intelligence and comparisons between human and artificial forms of intelligence.
This presentation introduces artificial intelligence and discusses its current and future applications. It provides examples of AI in technologies like Siri, Tesla, Netflix, Nest, drones, and more. The presentation also explores the future of AI, predicting that computers may have the mind of a 6-year old child by 2045 or be able to cure diseases using nano machines. However, it also outlines potential risks of AI like the need for humans becoming obsolete, technology dominating humans, or AI being used for mass destruction.
Artificial Intelligence: Facts and MythsJoaquim Jorge
The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts.
In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences.
The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo.
A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media.
The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies.
Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications.
In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.
Alles erst der Anfang - Ausblick und Szenarien für den Games-MarktTim Bruysten
This document discusses scenarios and trends for the future of games and gamification. It identifies several trends including digitalization, convenience, embodiment, platformication, automation, intelligence and singularity. For each trend, it outlines scenarios of how games and gamification may evolve. Examples include using games for customer journeys, intercultural game design, integrated games that are more complex and deeply embedded in social situations, and considering life itself as a game. The document argues that games and gamification will continue to expand into new markets and contexts.
The document discusses the relationship between virtual and real, including how simulation and virtual reality can support learning. It explores how intelligent virtual assistants and connected objects will continue to blur the lines between digital and physical. The world may one day be terraformed through algorithms to be more fully simulated and interactive.
The normal interaction with computers is with keyboard and a mouse. For display a rectangular somewhat small screen is used with 2D windowing systems. The mouse was invented more the 40 years ago and has been for 20 years dominant input. Now we are seeing new types of input devices. Multi-touch adds new dimensions and new applications. Natural user interfaces or gesture interfaces where people point to drag objects. Computers are also beginning to recognize facial expressions of people, so it knows if you are smiling. Voice and natural language understanding is getting to a usable stage. All this calls all types of new applications.
Displays are getting bigger. What if any surface was a screen? If you could spray the wall with screen? Or have you phone project images to the wall.
This lectures explores some of these new types of interactions with computers and software. It makes the old mouse look old.
Research Issues, Challenges and Directions in IoT (Internet of Things)Praveen Hanchinal
Presentation focuses on Research Issues, Challenges and Directions in IoT (Internet of Things) at This Presentation was presented at Kongu Engineering College, Erode, India
The document discusses various potential apocalyptic scenarios related to technology, including climate crisis, mass extinction, digital serfdom, data-driven policy-making, soft robotics, self-governed forests, state machismo, universal AI, machine intelligence, terraforming, nuclear war, humanoid robots, mass migration, and social robots. It references how these scenarios could play out in spectacular or mundane ways and how focusing too much on potential dystopian futures could amount to "selling our souls to the machines" or engaging in "apocalypse kitsch."
BAT40 NVIDIA Stampfli Künstliche Intelligenz, Roboter und autonome Fahrzeuge ...BATbern
Moderne künstliche Intelligenz mit Deep Learning ist bereits
heute schon im Einsatz in verschiedenen Anwendungen.
Sprachsteuerung von Apple mit Siri, Amazon mit Alexa,
autonome Fahrzeuge von Waymo, Tesla, Gesichtserkennung von Facebook sind nur einige bekannte Beispiele aus dem Silicon Valley welche Deep Learning einsetzen.
Der Vortrag zeigt auf was wir von der Technologie erwarten
können und wie Sie unsere Leben beeinflussen wird.
The games industry has the highest rate of creative destruction in tech, as we contend with new platforms, business models, design and art trends. This ever-shifting landscape forces large enterprises to retreat into familiar tropes with certain commercial outcomes, but the future belongs to those who innovate, pushing the creative boundaries of the products and the outer limits of technology. This presentation reviews a series of concepts ripe to be exploited by fearless indies or corporate rebels everywhere, from flicksyncs to metaverse-morphing neural networks.
From Concept to reality : Implementing Lean Managements DMAIC Methodology for...Rokibul Hasan
The Ready-Made Garments (RMG) industry in Bangladesh is a cornerstone of the economy, but increasing costs and stagnant productivity pose significant challenges to profitability. This study explores the implementation of Lean Management in the Sampling Section of RMG factories to enhance productivity. Drawing from a comprehensive literature review, theoretical framework, and action research methodology, the study identifies key areas for improvement and proposes solutions.
Through the DMAIC approach (Define, Measure, Analyze, Improve, Control), the research identifies low productivity as the primary problem in the Sampling Section, with a PPH (Productivity per head) of only 4.0. Using Lean Management techniques such as 5S, Standardized work, PDCA/Kaizen, KANBAN, and Quick Changeover, the study addresses issues such as pre and post Quick Changeover (QCO) time, improper line balancing, and sudden plan changes.
The research employs regression analysis to test hypotheses, revealing a significant correlation between reducing QCO time and increasing productivity. With a regression equation of Y = -0.000501X + 6.72 and an R-squared value of 0.98, the study demonstrates a strong relationship between the independent variables (QCO downtime and improper line balancing downtime) and the dependent variable (productivity per head).
The findings suggest that by implementing Lean Management practices and addressing key productivity inhibitors, RMG factories can achieve substantial improvements in efficiency and profitability. The study provides valuable insights for practitioners, policymakers, and researchers seeking to enhance productivity in the RMG industry and similar manufacturing sectors.
Designing and Sustaining Large-Scale Value-Centered Agile Ecosystems (powered...Alexey Krivitsky
Is Agile dead? It depends on what you mean by 'Agile'. If you mean that the organizations are not getting the promised benefits because they were focusing too much on the team-level agile "ways of working" instead of systemic global improvements -- then we are in agreement. It is a misunderstanding of Agility that led us down a dead-end. At Org Topologies, we see bright sparks -- the signs of the 'second wave of Agile' as we call it. The emphasis is shifting towards both in-team and inter-team collaboration. Away from false dichotomies. Both: team autonomy and shared broad product ownership are required to sustain true result-oriented organizational agility. Org Topologies is a package offering a visual language plus thinking tools required to communicate org development direction and can be used to help design and then sustain org change aiming at higher organizational archetypes.
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The document discusses how digitalization is still in its early stages of development. It begins with an introduction from Prof. Tim Bruysten on the topics of departure, the inner circle, and saving the world. It then goes on to provide examples of emerging digital technologies and their potential impacts and applications. These include artificial intelligence, augmented reality, brain-computer interfaces, 3D printing, drones, and more. It discusses how digitalization will transform various industries and societies. The presentation examines challenges and opportunities that new digital networks and algorithms may bring.
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Robotics and AI have developed as inseparable twins. This presentation will briefly trace the history of the relationship between the two, survey various types of robots, and identify the contribution of AI to robot intelligence. In particular, we will consider the robot system architecture and how AI techniques are associated with its various capacities and functions.
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Abstract: Artificial Intelligence (AI) has been a topic of research since the term was first coined by John McCarthy in 1956. In the last six decades, development of AI has experienced an uneven ride. Recently, the successful application of deep learning in Google AlphaGo triggered a wave of revolutionary advances in AI.
Robotics and AI have developed as inseparable twins. This presentation will briefly trace the history of the relationship between the two, survey various types of robots, and identify the contribution of AI to robot intelligence. In particular, we will consider the robot system architecture and how AI techniques are associated with its various capacities and functions.
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IoT With the Best: The Future of Social Robotics - Nicolas RigaudWithTheBest
This document discusses social humanoid robots and Pepper, an autonomous humanoid robot created by SoftBank Robotics. It provides an overview of Pepper, including its hardware specifications and software. Examples are given of how Pepper is being used by companies like Nestle and Carrefour to assist customers and increase sales. Lessons learned are discussed around designing interactions with users and anticipating failures. The document encourages attending community events and joining the developer community to learn more about creating applications for Pepper.
Artificial intelligence is becoming increasingly prevalent in daily life. While AI has many applications and benefits, it also poses some challenges and concerns. AI is used for tasks like playing games, medical diagnoses, managing social media data, and self-driving cars. However, advanced chatbots like ChatGPT have caused disturbances by enabling cheating and writing papers for students. As AI systems continue to evolve and learn on their own from massive online data, some experts worry that AI may eventually surpass human levels of intelligence and potentially pose risks if not developed safely. Overall, AI research aims to address challenges around employment impacts and ensuring AI systems remain beneficial to humanity.
Technologies Changing Industrial Park Requirements and Collective Intelligenc...Jerome Glenn
Technologies are changing the requirements for industrial parks and collective intelligence systems can help anticipate future changes. As artificial intelligence, computational sciences, and other emerging technologies converge their capabilities will greatly accelerate progress beyond what any single technology can achieve alone based on Moore's law. This will change what is possible and require new thinking about the future of work, economics, and how industrial parks can support tenants through consulting, maker hubs, industrial ecology networks, and collective intelligence systems.
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1) The document discusses how artificial intelligence (AI) and the Internet of Things (IoT) will transform the world. It describes how connected devices and data are growing exponentially and how AI can analyze that data.
2) The largest barrier to smart home adoption is technological fragmentation, but AI may help overcome this by enabling connected intelligence across different systems.
3) As AI and IoT advance, they will continue enhancing many areas of life from art to transportation. However, this also raises issues around jobs, inequality, bias, security, and human autonomy that will need addressing.
The document discusses the history and significance of the HP garage in Palo Alto, California. It notes that HP was founded in this garage in 1938 and it is considered the "Birthplace of Silicon Valley." HP's first product was an audio oscillator built in the garage. One of HP's first customers was Walt Disney Studios, which purchased eight oscillators to test sound systems for the film Fantasia.
https://telecombcn-dl.github.io/2017-dlai/
Deep learning technologies are at the core of the current revolution in artificial intelligence for multimedia data analysis. The convergence of large-scale annotated datasets and affordable GPU hardware has allowed the training of neural networks for data analysis tasks which were previously addressed with hand-crafted features. Architectures such as convolutional neural networks, recurrent neural networks or Q-nets for reinforcement learning have shaped a brand new scenario in signal processing. This course will cover the basic principles of deep learning from both an algorithmic and computational perspectives.
The document provides an overview of artificial intelligence (AI), including:
- Definitions of AI and a brief history of the field from early computers through modern machine learning advances.
- Descriptions of how AI works using artificial neural networks and logic-based systems, as well as examples like expert systems and current applications in areas such as personal assistants, robotics, and computer vision.
- A discussion of the current status and future potential of AI, along with challenges for developing true human-level intelligence and comparisons between human and artificial forms of intelligence.
This presentation introduces artificial intelligence and discusses its current and future applications. It provides examples of AI in technologies like Siri, Tesla, Netflix, Nest, drones, and more. The presentation also explores the future of AI, predicting that computers may have the mind of a 6-year old child by 2045 or be able to cure diseases using nano machines. However, it also outlines potential risks of AI like the need for humans becoming obsolete, technology dominating humans, or AI being used for mass destruction.
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The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts.
In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences.
The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo.
A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media.
The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies.
Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications.
In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.
Alles erst der Anfang - Ausblick und Szenarien für den Games-MarktTim Bruysten
This document discusses scenarios and trends for the future of games and gamification. It identifies several trends including digitalization, convenience, embodiment, platformication, automation, intelligence and singularity. For each trend, it outlines scenarios of how games and gamification may evolve. Examples include using games for customer journeys, intercultural game design, integrated games that are more complex and deeply embedded in social situations, and considering life itself as a game. The document argues that games and gamification will continue to expand into new markets and contexts.
The document discusses the relationship between virtual and real, including how simulation and virtual reality can support learning. It explores how intelligent virtual assistants and connected objects will continue to blur the lines between digital and physical. The world may one day be terraformed through algorithms to be more fully simulated and interactive.
The normal interaction with computers is with keyboard and a mouse. For display a rectangular somewhat small screen is used with 2D windowing systems. The mouse was invented more the 40 years ago and has been for 20 years dominant input. Now we are seeing new types of input devices. Multi-touch adds new dimensions and new applications. Natural user interfaces or gesture interfaces where people point to drag objects. Computers are also beginning to recognize facial expressions of people, so it knows if you are smiling. Voice and natural language understanding is getting to a usable stage. All this calls all types of new applications.
Displays are getting bigger. What if any surface was a screen? If you could spray the wall with screen? Or have you phone project images to the wall.
This lectures explores some of these new types of interactions with computers and software. It makes the old mouse look old.
Research Issues, Challenges and Directions in IoT (Internet of Things)Praveen Hanchinal
Presentation focuses on Research Issues, Challenges and Directions in IoT (Internet of Things) at This Presentation was presented at Kongu Engineering College, Erode, India
The document discusses various potential apocalyptic scenarios related to technology, including climate crisis, mass extinction, digital serfdom, data-driven policy-making, soft robotics, self-governed forests, state machismo, universal AI, machine intelligence, terraforming, nuclear war, humanoid robots, mass migration, and social robots. It references how these scenarios could play out in spectacular or mundane ways and how focusing too much on potential dystopian futures could amount to "selling our souls to the machines" or engaging in "apocalypse kitsch."
BAT40 NVIDIA Stampfli Künstliche Intelligenz, Roboter und autonome Fahrzeuge ...BATbern
Moderne künstliche Intelligenz mit Deep Learning ist bereits
heute schon im Einsatz in verschiedenen Anwendungen.
Sprachsteuerung von Apple mit Siri, Amazon mit Alexa,
autonome Fahrzeuge von Waymo, Tesla, Gesichtserkennung von Facebook sind nur einige bekannte Beispiele aus dem Silicon Valley welche Deep Learning einsetzen.
Der Vortrag zeigt auf was wir von der Technologie erwarten
können und wie Sie unsere Leben beeinflussen wird.
The games industry has the highest rate of creative destruction in tech, as we contend with new platforms, business models, design and art trends. This ever-shifting landscape forces large enterprises to retreat into familiar tropes with certain commercial outcomes, but the future belongs to those who innovate, pushing the creative boundaries of the products and the outer limits of technology. This presentation reviews a series of concepts ripe to be exploited by fearless indies or corporate rebels everywhere, from flicksyncs to metaverse-morphing neural networks.
Similar to Alles erst der Anfang – Ausblick und Szenarien für den Gamesmarkt (20)
From Concept to reality : Implementing Lean Managements DMAIC Methodology for...Rokibul Hasan
The Ready-Made Garments (RMG) industry in Bangladesh is a cornerstone of the economy, but increasing costs and stagnant productivity pose significant challenges to profitability. This study explores the implementation of Lean Management in the Sampling Section of RMG factories to enhance productivity. Drawing from a comprehensive literature review, theoretical framework, and action research methodology, the study identifies key areas for improvement and proposes solutions.
Through the DMAIC approach (Define, Measure, Analyze, Improve, Control), the research identifies low productivity as the primary problem in the Sampling Section, with a PPH (Productivity per head) of only 4.0. Using Lean Management techniques such as 5S, Standardized work, PDCA/Kaizen, KANBAN, and Quick Changeover, the study addresses issues such as pre and post Quick Changeover (QCO) time, improper line balancing, and sudden plan changes.
The research employs regression analysis to test hypotheses, revealing a significant correlation between reducing QCO time and increasing productivity. With a regression equation of Y = -0.000501X + 6.72 and an R-squared value of 0.98, the study demonstrates a strong relationship between the independent variables (QCO downtime and improper line balancing downtime) and the dependent variable (productivity per head).
The findings suggest that by implementing Lean Management practices and addressing key productivity inhibitors, RMG factories can achieve substantial improvements in efficiency and profitability. The study provides valuable insights for practitioners, policymakers, and researchers seeking to enhance productivity in the RMG industry and similar manufacturing sectors.
Designing and Sustaining Large-Scale Value-Centered Agile Ecosystems (powered...Alexey Krivitsky
Is Agile dead? It depends on what you mean by 'Agile'. If you mean that the organizations are not getting the promised benefits because they were focusing too much on the team-level agile "ways of working" instead of systemic global improvements -- then we are in agreement. It is a misunderstanding of Agility that led us down a dead-end. At Org Topologies, we see bright sparks -- the signs of the 'second wave of Agile' as we call it. The emphasis is shifting towards both in-team and inter-team collaboration. Away from false dichotomies. Both: team autonomy and shared broad product ownership are required to sustain true result-oriented organizational agility. Org Topologies is a package offering a visual language plus thinking tools required to communicate org development direction and can be used to help design and then sustain org change aiming at higher organizational archetypes.
Originally presented at XP2024 Bolzano
While agile has entered the post-mainstream age, possibly losing its mojo along the way, the rise of remote working is dealing a more severe blow than its industrialization.
In this talk we'll have a look to the cumulative effect of the constraints of a remote working environment and of the common countermeasures.
A comprehensive-study-of-biparjoy-cyclone-disaster-management-in-gujarat-a-ca...Samirsinh Parmar
Disaster management;
Cyclone Disaster Management;;
Biparjoy Cyclone Case Study;
Meteorological Observations;
Best practices in Disaster Management;
Synchronization of Agencies;
GSDMA in Cyclone disaster Management;
History of Cyclone in Arabian ocean;
Intensity of Cyclone in Gujarat;
Cyclone preparedness;
Miscellaneous observations - Biparjoy cyclone;
Role of social Media in Disaster Management;
Unique features of Biparjoy cyclone;
Role of IMD in Biparjoy Prediction;
Lessons Learned; Disaster Preparedness; published paper;
Case study; for disaster management agencies; for guideline to manage cyclone disaster; cyclone management; cyclone risks; rescue and rehabilitation for cyclone; timely evacuation during cyclone; port closure; tourism closure etc.
This presentation, "The Morale Killers: 9 Ways Managers Unintentionally Demotivate Employees (and How to Fix It)," is a deep dive into the critical factors that can negatively impact employee morale and engagement. Based on extensive research and real-world experiences, this presentation reveals the nine most common mistakes managers make, often without even realizing it.
The presentation begins by highlighting the alarming statistic that 70% of employees report feeling disengaged at work, underscoring the urgency of addressing this issue. It then delves into each of the nine "morale killers," providing clear explanations and illustrative examples.
1. Ignoring Achievements: The presentation emphasizes the importance of recognizing and rewarding employees' efforts, tailored to their individual preferences.
2. Bad Hiring/Promotions & Broken Promises: It reveals the detrimental effects of poor hiring and promotion decisions, along with the erosion of trust that results from broken promises.
3. Treating Everyone Equally & Tolerating Poor Performance: This section stresses the need for fair treatment while acknowledging that employees have different needs. It also emphasizes the importance of addressing poor performance promptly.
4. Stifling Growth & Lack of Interest: The presentation highlights the importance of providing opportunities for learning and growth, as well as showing genuine care for employees' well-being.
5. Unclear Communication & Micromanaging: It exposes the frustration and resentment caused by vague expectations and excessive control, advocating for clear communication and employee empowerment.
The presentation then shifts its focus to the power of recognition and empowerment, highlighting how a culture of appreciation can fuel engagement and motivation. It provides actionable takeaways for managers, emphasizing the need to stop demotivating behaviors and start actively fostering a positive workplace culture.
The presentation concludes with a strong call to action, encouraging viewers to explore the accompanying blog post, "9 Proven Ways to Crush Employee Morale (and How to Avoid Them)," for a more in-depth analysis and practical solutions.
Neal Elbaum Shares Top 5 Trends Shaping the Logistics Industry in 2024Neal Elbaum
In the ever-evolving world of logistics, staying ahead of the curve is crucial. Industry expert Neal Elbaum highlights the top five trends shaping the logistics industry in 2024, offering valuable insights into the future of supply chain management.
Maximize Your Efficiency with This Comprehensive Project Management Platform ...SOFTTECHHUB
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Small Business Management An Entrepreneur’s Guidebook 8th edition by Byrd tes...ssuserf63bd7
Small Business Management An Entrepreneur’s Guidebook 8th edition by Byrd test bank.docx
https://qidiantiku.com/test-bank-for-small-business-management-an-entrepreneurs-guidebook-8th-edition-by-mary-jane-byrd.shtml
m249-saw PMI To familiarize the soldier with the M249 Squad Automatic Weapon ...LinghuaKong2
M249 Saw marksman PMIThe Squad Automatic Weapon (SAW), or 5.56mm M249 is an individually portable, gas operated, magazine or disintegrating metallic link-belt fed, light machine gun with fixed headspace and quick change barrel feature. The M249 engages point targets out to 800 meters, firing the improved NATO standard 5.56mm cartridge.The SAW forms the basis of firepower for the fire team. The gunner has the option of using 30-round M16 magazines or linked ammunition from pre-loaded 200-round plastic magazines. The gunner's basic load is 600 rounds of linked ammunition.The SAW was developed through an initially Army-led research and development effort and eventually a Joint NDO program in the late 1970s/early 1980s to restore sustained and accurate automatic weapons fire to the fire team and squad. When actually fielded in the mid-1980s, the SAW was issued as a one-for-one replacement for the designated "automatic rifle" (M16A1) in the Fire Team. In this regard, the SAW filled the void created by the retirement of the Browning Automatic Rifle (BAR) during the 1950s because interim automatic weapons (e.g. M-14E2/M16A1) had failed as viable "base of fire" weapons.
Early in the SAW's fielding, the Army identified the need for a Product Improvement Program (PIP) to enhance the weapon. This effort resulted in a "PIP kit" which modifies the barrel, handguard, stock, pistol grip, buffer, and sights.
The M249 machine gun is an ideal complementary weapon system for the infantry squad platoon. It is light enough to be carried and operated by one man, and can be fired from the hip in an assault, even when loaded with a 200-round ammunition box. The barrel change facility ensures that it can continue to fire for long periods. The US Army has conducted strenuous trials on the M249 MG, showing that this weapon has a reliability factor that is well above that of most other small arms weapon systems. Today, the US Army and Marine Corps utilize the license-produced M249 SAW.
m249-saw PMI To familiarize the soldier with the M249 Squad Automatic Weapon ...
Alles erst der Anfang – Ausblick und Szenarien für den Gamesmarkt
1. Alles erst der Anfang
Ausblick und Szenarien für den Games-Markt
Foto: Mick Talbot
Quality Circle Gaming, 06.05., Hamburg
Prof. Tim Bruysten | Mediadesign Hochschule | richtwert GmbH
9. Szenario:
The World is not enough
Neue Kooperationen für die Games Industrie
Automobilindustrie, (Innen)Architektur, Krankenkassen, …
digital-augmented LARP & Cosplay
digital cultural driven identities
Gamification als Universalkleber
gestaltete Heldenreisen im Alltag
20. Szenario:
Harry Potter World
There’s an App for that
Everything is a Device with Apps. And App-Stores.
Augmented Humans
Invisible Devices augments the capabilities of humans.
Wearables as magical Artifacts, Weapons or Keys
While everything is digital and connected…
Everybody is a fakir
Controll your body and play against others
30. Szenario:
Meatspace NPCs
Tamagotchis on Steroids
toy-level intelligent robot design
Love & Sex with Robots
changing ethics and society
Headshot!
Ego-Shooter meets Paintball
35. Szenario:
Everything Intelligent
Artificial Intelligence on Gamedesign-Level
Artificial rendered Mechanics, Strategies, Stories and Maps
Artificial Intelligence for Dialogues
NPCs are talking, not playing an audio file or following a script
39. Szenario:
Deep Brain Immersion
Ultra-Realistic Game Experiences
Computer to Brain Interfaces
Inception as MMORPG
Games as Brain to Brain Platforms
Alice in Wonderland as MMORPG
Going beyond Physics
Multisensoric Engines
Playing with every Sense
48. 1% Finished
Loading Digitalization…
Big Data
Social Media
Social Enterprises
IP
Internet of Things
3D-Druck
RFID
Augmented Reality
Blue Tooth Beacon
Brain Reading
Brain 2 Brain Comm.
49. 1% Finished
Campfire Society
Nano AssemblerBio Assembler
Big Data Predictive Analytics
Industrial Robots Household Robots
Military Robots
Drones
Social Media
Social Enterprises Digital Enterprises
Digital Society Aesthetic Society
Algorithmic Intelligence Artificial Intelligence General Artificial Intelligence
Humanoid Robots Better than Human Robots
Pre-Crime
Mind Uploads
Utility Dust
Mind ReadingC2B Interfaces Mind Security
Software Healthcare
IP Internet of Things
Artificial Enterprises Living Enterprises
Kardashev X Society
3D-Druck
Terminator
Self Driving Cars Self Flying Planes
Kardashev 1 Society
Dyson Spären
RFID
Augmented Reality Virtual Reality Mind Writing
Gen Food Printed Food
Artificial Life Artificial Animals Hybrid Animals
Love & Sex with Robots
Kill Decision
Loading Digitalization…
50. 1% Finished
Campfire Society
Nano AssemblerBio Assembler
Big Data Predictive Analytics
Industrial Robots Household Robots
Military Robots
Drones
Social Media
Social Enterprises Digital Enterprises
Digital Society Aesthetic Society
Algorithmic Intelligence Artificial Intelligence General Artificial Intelligence
Humanoid Robots Better than Human Robots
Pre-Crime
Mind Uploads
Utility Dust
Mind ReadingC2B Interfaces Mind Security
Software Healthcare
IP Internet of Things
Artificial Enterprises Living Enterprises
Kardashev X Society
3D-Druck
Terminator
Self Driving Cars Self Flying Planes
Kardashev 1 Society
Dyson Spären
RFID
Augmented Reality Virtual Reality Mind Writing
Gen Food Printed Food
Artificial Life Artificial Animals Hybrid Animals
Love & Sex with Robots
Kill Decision
Loading Digitalization…
51. 1% Finished
Campfire Society
Nano AssemblerBio Assembler
Big Data Predictive Analytics
Industrial Robots Household Robots
Military Robots
Drones
Social Media
Social Enterprises Digital Enterprises
Digital Society Aesthetic Society
Algorithmic Intelligence Artificial Intelligence General Artificial Intelligence
Humanoid Robots Better than Human Robots
Pre-Crime
Mind Uploads
Utility Dust
Mind ReadingC2B Interfaces Mind Security
Software Healthcare
IP Internet of Things
Artificial Enterprises Living Enterprises
Kardashev X Society
3D-Druck
Terminator
Self Driving Cars Self Flying Planes
Kardashev 1 Society
Dyson Spären
RFID
Augmented Reality Virtual Reality Mind Writing
Gen Food Printed Food
Artificial Life Artificial Animals Hybrid Animals
Love & Sex with Robots
Kill Decision
Loading Digitalization…
52. 1% Finished
Campfire Society
Nano AssemblerBio Assembler
Big Data Predictive Analytics
Industrial Robots Household Robots
Military Robots
Drones
Social Media
Social Enterprises Digital Enterprises
Digital Society Aesthetic Society
Algorithmic Intelligence Artificial Intelligence General Artificial Intelligence
Humanoid Robots Better than Human Robots
Pre-Crime
Mind Uploads
Utility Dust
Mind ReadingC2B Interfaces Mind Security
Software Healthcare
IP Internet of Things
Artificial Enterprises Living Enterprises
Kardashev X Society
3D-Druck
Terminator
Self Driving Cars Self Flying Planes
Kardashev 1 Society
Dyson Spären
RFID
Augmented Reality Virtual Reality Mind Writing
Gen Food Printed Food
Artificial Life Artificial Animals Hybrid Animals
Love & Sex with Robots
Kill Decision
Loading Digitalization…
Gegenwart
Zukunft
Science
Fiction
53. Loading Digitalization…
0,1% Finished
Campfire Society
Nano AssemblerBio Assembler
Big Data Predictive Analytics
Industrial Robots Household Robots
Military Robots
Drones
Social Media
Social Enterprises Digital Enterprises
Digital Society Aesthetic Society
Algorithmic Intelligence Artificial Intelligence General Artificial Intelligence
Humanoid Robots Better than Human Robots
Pre-Crime
Mind Uploads
Utility Dust
Mind ReadingC2B Interfaces Mind Security
Software Healthcare
IP Internet of Things
Artificial Enterprises Living Enterprises
Kardashev X Society
3D-Druck
Terminator
Self Driving Cars Self Flying Planes
Kardashev 1 Society
Dyson Spären
RFID
Augmented Reality Virtual Reality Mind Writing
Gen Food Printed Food
Artificial Life Artificial Animals Hybrid Animals
Love & Sex with Robots
Kill DecisionSiggi Becker, 2013 www.siggibecker.de
54. Loading Digitalization…
0,1% Finished
Campfire Society
Nano AssemblerBio Assembler
Big Data Predictive Analytics
Industrial Robots Household Robots
Military Robots
Drones
Social Media
Social Enterprises Digital Enterprises
Digital Society Aesthetic Society
Algorithmic Intelligence Artificial Intelligence General Artificial Intelligence
Humanoid Robots Better than Human Robots
Pre-Crime
Mind Uploads
Utility Dust
Mind ReadingC2B Interfaces Mind Security
Software Healthcare
IP Internet of Things
Artificial Enterprises Living Enterprises
Kardashev X Society
3D-Druck
Terminator
Self Driving Cars Self Flying Planes
Kardashev 1 Society
Dyson Spären
RFID
Augmented Reality Virtual Reality Mind Writing
Gen Food Printed Food
Artificial Life Artificial Animals Hybrid Animals
Love & Sex with Robots
Kill DecisionSiggi Becker, 2013 www.siggibecker.de
http://www.mpg.de/5917127/ferenc_krausz
55. Loading Digitalization…
0,1% Finished
Campfire Society
Nano AssemblerBio Assembler
Big Data Predictive Analytics
Industrial Robots Household Robots
Military Robots
Drones
Social Media
Social Enterprises Digital Enterprises
Digital Society Aesthetic Society
Algorithmic Intelligence Artificial Intelligence General Artificial Intelligence
Humanoid Robots Better than Human Robots
Pre-Crime
Mind Uploads
Utility Dust
Mind ReadingC2B Interfaces Mind Security
Software Healthcare
IP Internet of Things
Artificial Enterprises Living Enterprises
Kardashev X Society
3D-Druck
Terminator
Self Driving Cars Self Flying Planes
Kardashev 1 Society
Dyson Spären
RFID
Augmented Reality Virtual Reality Mind Writing
Gen Food Printed Food
Artificial Life Artificial Animals Hybrid Animals
Love & Sex with Robots
Kill DecisionSiggi Becker, 2013 www.siggibecker.de
http://www.mpg.de/5917127/ferenc_krausz
… alle (diese) Technologien dienen dem Schließen einer Lücke…
58. Digitales Geld
Vernetzung
3D Printing
Dronen
Beacons
Bitcoin
Fast Delivery
Home Retail
Arts & Crafts
Bildquelle
Szenario:
Game Based „Steam Punk“ Currencies
Währungen als Mode
„Wie, kein GTA-Dollar… tja“
Nur gültig in Augmented Realities & Cosplay Games
„Living the Game as Urban Culture“
Vertrauen entsteht durch kulturelle Nähe
„Trust your friends, not the brands“
69. Digitales Geld
Vernetzung
3D Printing
Dronen
Beacons
Bitcoin
Fast Delivery
Home Retail
Arts & Crafts
Bildquelle
Szenario:
Gamified Customer Journeys
Neue Komplexität im Gamedesign
Motivations- & Entwicklungspsychologie
Neue Märkte für Gamedesigner
Vom E-Commerce bis zum Employer-Branding
Neue Akzeptanz für die Branche
Brutto-Sozial-Glück
72. Everything is Context Everything is a GameEverything is a Device
Trend of Digitalization
73. Szenario:
Life as a Game
Intercultural Gamedesign
Languages, Gestures, Symbols, Story, Monetarization
Interoperable Gamedevelopment
More platforms & devices than ever
Integrated Games
Complexer Mechanics, Deeper Integration in Social Situations
74. Alles erst der Anfang
Gegen Komplexität kann man nicht protestieren.Niklas Luhmann