This document provides an overview of the future of user experience (UX) design. It begins with a short history of interfaces from command lines to graphical user interfaces (GUIs) to more natural interfaces. It then discusses emerging technologies like voice interfaces, gesture interfaces, and the internet of things (IoT). Examples of IoT devices and applications are provided. The document concludes by discussing opportunities and drawbacks of wearable technologies and how they are important as more devices become connected to the internet. Activities are interspersed throughout to have participants design IoT or wearable experiences. The key objectives are to describe the future of technology and UX, discuss why it's important, and learn to design the future in an awesome way
This document discusses artificial intelligence and robotics. It covers:
- AI is entering the third and final stage of technological evolution involving automation and replicating human senses.
- Video games are a major area of experimentation for AI and what happens in this industry should be closely watched.
- Those controlling large data sets, like Google and Facebook, stand to be the likely winners in AI unless new business models are invented, as data is critical for training AI systems.
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?
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 field?
The way people experience the web will see dramatic change in response to new tools, expectations and constraints in the coming years. This session will highlight some major forces shaping our medium and lead us in thinking about how we should expect to evolve what we deliver in light of changes in hardware, mobile, wearable, data, and software among others. We will look to parallels in architecture, aircraft and other technologies and suggest future trends that will evolve.
Attendees will gain a better understanding of the changing nature of our environment and the impact of all of these forces. Attendees will leave ready to make their own decisions about how best to embrace these forces in their own work.
Artificial Intelligence (AI) is quickly moving from a science-fiction concept to reality where machines now have the capability to perform tasks commonly associated with humans. We are starting to see our society transformed because of AI, so having a better understanding of what it is and what it is capable of doing is essential. AI helps power Amazon’s Alexa personal assistant, Google’s Deep Dream neural network, various marketing initiatives, health applications, the aviation industry, and much more. In this webinar:
- Discover what Artificial Intelligence (AI) is and how it is becoming a “machine trait.”
- Gain an appreciation of AI pioneers like John McCarthy, Alan Turing, Marvin Minsky et al.
- Learn how AI works and explore some applications that could play a role in your library.
- Reflect on the future of AI and the implications for libraries and society in general.
- Special Guest, Owen Cegielski from STEM School and Academy in Highlands Ranch, Colorado, will discuss various AI projects.
Jim Spohrer (IBM) gave a presentation at the UCLA BIT Conference on July 19, 2018 about the future of AI. He discussed how AI is currently at the peak of hype but deep learning requires large amounts of data and computing power. He presented a roadmap to solve AI through open technologies, innovation, and service system evolution. Spohrer argued stakeholders should prepare for the AI future by learning skills like coding on platforms like GitHub and competing on AI leaderboards to advance progress.
This document provides an overview of the future of user experience (UX) design. It begins with a short history of interfaces from command lines to graphical user interfaces (GUIs) to more natural interfaces. It then discusses emerging technologies like voice interfaces, gesture interfaces, and the internet of things (IoT). Examples of IoT devices and applications are provided. The document concludes by discussing opportunities and drawbacks of wearable technologies and how they are important as more devices become connected to the internet. Activities are interspersed throughout to have participants design IoT or wearable experiences. The key objectives are to describe the future of technology and UX, discuss why it's important, and learn to design the future in an awesome way
This document discusses artificial intelligence and robotics. It covers:
- AI is entering the third and final stage of technological evolution involving automation and replicating human senses.
- Video games are a major area of experimentation for AI and what happens in this industry should be closely watched.
- Those controlling large data sets, like Google and Facebook, stand to be the likely winners in AI unless new business models are invented, as data is critical for training AI systems.
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?
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 field?
The way people experience the web will see dramatic change in response to new tools, expectations and constraints in the coming years. This session will highlight some major forces shaping our medium and lead us in thinking about how we should expect to evolve what we deliver in light of changes in hardware, mobile, wearable, data, and software among others. We will look to parallels in architecture, aircraft and other technologies and suggest future trends that will evolve.
Attendees will gain a better understanding of the changing nature of our environment and the impact of all of these forces. Attendees will leave ready to make their own decisions about how best to embrace these forces in their own work.
Artificial Intelligence (AI) is quickly moving from a science-fiction concept to reality where machines now have the capability to perform tasks commonly associated with humans. We are starting to see our society transformed because of AI, so having a better understanding of what it is and what it is capable of doing is essential. AI helps power Amazon’s Alexa personal assistant, Google’s Deep Dream neural network, various marketing initiatives, health applications, the aviation industry, and much more. In this webinar:
- Discover what Artificial Intelligence (AI) is and how it is becoming a “machine trait.”
- Gain an appreciation of AI pioneers like John McCarthy, Alan Turing, Marvin Minsky et al.
- Learn how AI works and explore some applications that could play a role in your library.
- Reflect on the future of AI and the implications for libraries and society in general.
- Special Guest, Owen Cegielski from STEM School and Academy in Highlands Ranch, Colorado, will discuss various AI projects.
Jim Spohrer (IBM) gave a presentation at the UCLA BIT Conference on July 19, 2018 about the future of AI. He discussed how AI is currently at the peak of hype but deep learning requires large amounts of data and computing power. He presented a roadmap to solve AI through open technologies, innovation, and service system evolution. Spohrer argued stakeholders should prepare for the AI future by learning skills like coding on platforms like GitHub and competing on AI leaderboards to advance progress.
This document discusses the Internet of Things (IoT) and provides an introduction to some common tools used to build IoT projects. It explains that IoT involves connecting everyday objects to the Internet so they can send and receive data. Arduino is introduced as a good starting point for learning IoT as it allows controlling physical devices through microcontrollers and writing "if this then that" programs. The document also discusses Intel Galileo, a microcontroller compatible with Arduino but more powerful, and Processing, a programming language well-suited for visualizing and modeling IoT projects alongside Arduino hardware.
Strata San Jose 2016: Deep Learning is eating your lunch -- and mineSri Ambati
In recent years, deep learning has taken the lead in predictive accuracy in many fields of machine learning, and companies are struggling to keep up with the speed of innovation. Arno Candel demonstrates how successful enterprises can augment simple statistical models with more accurate data-driven models to gain a competitive edge.
Arno describes how to build smart applications that include data munging, model training and validation, and real-time production deployment—every step is based on open source code (R, Python, Java, Scala, JavaScript, REST) that runs on distributed platforms including Hadoop, Spark, and standard compute clusters. Arno also presents use cases from verticals including insurance, fraud, churn, fintech, and marketing and offers live demos of smart applications on large real-world datasets in distributed clusters.
- Powered by the open source machine learning software H2O.ai. Contributors welcome at: https://github.com/h2oai
- To view videos on H2O open source machine learning software, go to: https://www.youtube.com/user/0xdata
The document summarizes the first issue of a technical magazine called "Cyborg's Tech Review Bytes" from the National Institute of Technology in Rourkela. It includes several articles on topics like an introduction for beginners on microcontrollers, a review of projects from Google's ATAP division including Soli and Tango, the history and origin of the word "cyborg," and an upcoming giant robot fight between robots from Japan and the US. The issue aims to bring the latest tech guides to students at NIT Rourkela.
Will robots take our jobs? A report from the World Economic Forum found that while 7.1 million jobs may be lost due to automation, 2.1 million new jobs will be created, resulting in a net loss of over 5 million jobs by 2020 across major economies. The drivers of increased robotization include technological advances in areas like machine learning, 3D printing, and quantum computing, as well as the increased productivity, lower costs, and improved safety that robots provide compared to human workers. Nearly every industry like transportation, farming, healthcare, and IT will be impacted. Proposed solutions include retraining workers, incentivizing lifelong learning, and political actions like a universal basic income.
Hack For Japan Overview for CODE for JAPANTakuya Oikawa
Hack For Japan organized their first hackathon just one week after the 2011 Tohoku earthquake and tsunami to help those affected. They developed some tools like Beef Tracer and Wind@Fukushima Nuclear Plan, but found issues with sustainability, connecting to those in need, and skillset mismatches. They now focus on open data/government, promoting hacker culture, programming education, and preparing for future disasters.
http://imatge-upc.github.io/telecombcn-2016-dlcv/
Deep learning technologies are at the core of the current revolution in artificial intelligence for multimedia data analysis. The convergence of big annotated data and affordable GPU hardware has allowed the training of neural networks for data analysis tasks which had been addressed until now with hand-crafted features. Architectures such as convolutional neural networks, recurrent neural networks and Q-nets for reinforcement learning have shaped a brand new scenario in signal processing. This course will cover the basic principles and applications of deep learning to computer vision problems, such as image classification, object detection or text captioning.
This document outlines an English lesson plan about gadgets and technology in the present and future. The lesson includes warm-up activities about defining technology terms without saying them. Students then watch a video on the pros and cons of kids using digital technology and discuss in pairs. They consider advantages and disadvantages of technology and how it may change lives. In discussing the future of technology, students predict how gadgets, communication, robots, the environment, and work will evolve. They are encouraged to ask each other questions about these topics. By the end of the lesson, students will be able to talk about current and future gadgets and technology.
Startup Junkie Underground - Top 10 Entrepreneurial Trends for 2011DaVinci Institute
1) The document discusses 10 entrepreneurial trends for 2011, including the shift from physical to digital products and the coming explosion of apps and video.
2) It also covers topics like the future of retail with new technologies like Google Goggles, the untethering of the marketplace through mobile payment systems, and the rise of project-based work through business colonies.
3) Emerging technologies are blurring the line between physical and digital worlds, and the amount of video content is growing exponentially, pushing into new areas like clothing, cars, and buildings.
AI for Nonprofits What You Need to Know-.pdfTechSoup
In this webinar, nonprofits learned the latest generation of AI by Microsoft, what these tools can do for mission-focused work ,and the need to use them in a thoughtful, responsible manner.
Our guest speakers, Joshua Pesky, and Destiny Bowers from Roundtable Technology shared an understanding of what AI is, the different kinds of AI that exist, use cases for nonprofits, and thoughtful strategies for this emerging tech.
IoT: Exploring the way of connecting thingsVedantJajoo2
IoT which stands for Internet of things is one of the most popular topics right now. This PPT will clear your basic to advanced concept about IoT. Information in this ppt is classified in a most understandable way. It also includes some of the best application of IoT in today's world.
You can use my ppt but don't forgot to check the data stats as it could become outdated by time and also don't forgot to mention me.
Cheers : )
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 victory of AlphaGo against Lee Sedol in March 2016 is a new milestone in Artificial Intelligence history, next one might be the mass adoption of self-driving cars or the generalized use of chatbots. These successes both raise expectations and increase the fear of an Artificial Intelligence getting out of control, which is now addressed in books and scientific papers.
Even though some other human capabilities like natural language are still way beyond machine's reach, the fear of this "control problem" is sometimes intensified by the assumption that human intelligence will be at some point surpassed in all domains by machines even if it is a controverse whether human elementary abilities like subjective experience, consciousness, moral values are even theoretically transferable to computers.
https://tech.rakuten.co.jp/
This document discusses various technologies presented at a Google Developer Student Club information session, including Flutter, Android development, artificial intelligence/machine learning, web development, and Google Cloud. It provides statistics on the growth and job prospects within each field, describes some core concepts and technologies within each area, and how the student club can help members learn and build projects in these areas through workshops, learning sessions, and connections with industry experts.
The document discusses the Junkbots project, which provides 12 hours of STEM activities to secondary school students using robotics and computational thinking. It aims to teach programming skills through building robots out of junk and programming Lego robots. The project has expanded to primary schools and uses Raspberry Pi and Scratch/Python programming. It teaches fundamental skills like debugging and collaboration. Computational thinking skills are strengthened through activities involving tinkering, abstraction, and logic. The project has received funding and resources, and the author questions how changes bringing computational thinking to K-12 curriculums will impact university curriculums.
Learn to create web and app experiences that share control among multiple devices, designing not only for screens but for sensors. The technology is already here in our pockets, handbags, and living rooms.
Artificial Intelligence, other emerging technologies, and social inventionsJerome Glenn
The document summarizes a study on the future of work and technology conducted by The Millennium Project. It outlines three potential global scenarios for work and technology by 2050: 1) "It's Complicated" with mixed outcomes, 2) "Political/Economic Turmoil" resulting in widespread despair, and 3) "If Humans Were Free" leading to a self-actualizing economy. It then lists over 90 actions identified to address issues across different sectors in the various scenarios. The study utilized numerous futures research methods including literature reviews, Delphi studies, and workshops to explore the long-term impacts of emerging technologies on work and develop strategic recommendations.
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.
This document outlines a technical seminar presented by Deepak Chawla. The seminar covers various topics related to IT careers including popular programming languages, how to use Google to learn new technologies, tips for IT freshers at different stages of their education, and key people to follow. It provides an agenda with over 20 individual topics and includes summaries and comparisons of programming languages like JavaScript, Python, and PHP.
Information and Communication Technology in EducationMJDuyan
(𝐓𝐋𝐄 𝟏𝟎𝟎) (𝐋𝐞𝐬𝐬𝐨𝐧 2)-𝐏𝐫𝐞𝐥𝐢𝐦𝐬
𝐄𝐱𝐩𝐥𝐚𝐢𝐧 𝐭𝐡𝐞 𝐈𝐂𝐓 𝐢𝐧 𝐞𝐝𝐮𝐜𝐚𝐭𝐢𝐨𝐧:
Students will be able to explain the role and impact of Information and Communication Technology (ICT) in education. They will understand how ICT tools, such as computers, the internet, and educational software, enhance learning and teaching processes. By exploring various ICT applications, students will recognize how these technologies facilitate access to information, improve communication, support collaboration, and enable personalized learning experiences.
𝐃𝐢𝐬𝐜𝐮𝐬𝐬 𝐭𝐡𝐞 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐬𝐨𝐮𝐫𝐜𝐞𝐬 𝐨𝐧 𝐭𝐡𝐞 𝐢𝐧𝐭𝐞𝐫𝐧𝐞𝐭:
-Students will be able to discuss what constitutes reliable sources on the internet. They will learn to identify key characteristics of trustworthy information, such as credibility, accuracy, and authority. By examining different types of online sources, students will develop skills to evaluate the reliability of websites and content, ensuring they can distinguish between reputable information and misinformation.
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This document discusses the Internet of Things (IoT) and provides an introduction to some common tools used to build IoT projects. It explains that IoT involves connecting everyday objects to the Internet so they can send and receive data. Arduino is introduced as a good starting point for learning IoT as it allows controlling physical devices through microcontrollers and writing "if this then that" programs. The document also discusses Intel Galileo, a microcontroller compatible with Arduino but more powerful, and Processing, a programming language well-suited for visualizing and modeling IoT projects alongside Arduino hardware.
Strata San Jose 2016: Deep Learning is eating your lunch -- and mineSri Ambati
In recent years, deep learning has taken the lead in predictive accuracy in many fields of machine learning, and companies are struggling to keep up with the speed of innovation. Arno Candel demonstrates how successful enterprises can augment simple statistical models with more accurate data-driven models to gain a competitive edge.
Arno describes how to build smart applications that include data munging, model training and validation, and real-time production deployment—every step is based on open source code (R, Python, Java, Scala, JavaScript, REST) that runs on distributed platforms including Hadoop, Spark, and standard compute clusters. Arno also presents use cases from verticals including insurance, fraud, churn, fintech, and marketing and offers live demos of smart applications on large real-world datasets in distributed clusters.
- Powered by the open source machine learning software H2O.ai. Contributors welcome at: https://github.com/h2oai
- To view videos on H2O open source machine learning software, go to: https://www.youtube.com/user/0xdata
The document summarizes the first issue of a technical magazine called "Cyborg's Tech Review Bytes" from the National Institute of Technology in Rourkela. It includes several articles on topics like an introduction for beginners on microcontrollers, a review of projects from Google's ATAP division including Soli and Tango, the history and origin of the word "cyborg," and an upcoming giant robot fight between robots from Japan and the US. The issue aims to bring the latest tech guides to students at NIT Rourkela.
Will robots take our jobs? A report from the World Economic Forum found that while 7.1 million jobs may be lost due to automation, 2.1 million new jobs will be created, resulting in a net loss of over 5 million jobs by 2020 across major economies. The drivers of increased robotization include technological advances in areas like machine learning, 3D printing, and quantum computing, as well as the increased productivity, lower costs, and improved safety that robots provide compared to human workers. Nearly every industry like transportation, farming, healthcare, and IT will be impacted. Proposed solutions include retraining workers, incentivizing lifelong learning, and political actions like a universal basic income.
Hack For Japan Overview for CODE for JAPANTakuya Oikawa
Hack For Japan organized their first hackathon just one week after the 2011 Tohoku earthquake and tsunami to help those affected. They developed some tools like Beef Tracer and Wind@Fukushima Nuclear Plan, but found issues with sustainability, connecting to those in need, and skillset mismatches. They now focus on open data/government, promoting hacker culture, programming education, and preparing for future disasters.
http://imatge-upc.github.io/telecombcn-2016-dlcv/
Deep learning technologies are at the core of the current revolution in artificial intelligence for multimedia data analysis. The convergence of big annotated data and affordable GPU hardware has allowed the training of neural networks for data analysis tasks which had been addressed until now with hand-crafted features. Architectures such as convolutional neural networks, recurrent neural networks and Q-nets for reinforcement learning have shaped a brand new scenario in signal processing. This course will cover the basic principles and applications of deep learning to computer vision problems, such as image classification, object detection or text captioning.
This document outlines an English lesson plan about gadgets and technology in the present and future. The lesson includes warm-up activities about defining technology terms without saying them. Students then watch a video on the pros and cons of kids using digital technology and discuss in pairs. They consider advantages and disadvantages of technology and how it may change lives. In discussing the future of technology, students predict how gadgets, communication, robots, the environment, and work will evolve. They are encouraged to ask each other questions about these topics. By the end of the lesson, students will be able to talk about current and future gadgets and technology.
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2) It also covers topics like the future of retail with new technologies like Google Goggles, the untethering of the marketplace through mobile payment systems, and the rise of project-based work through business colonies.
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You can use my ppt but don't forgot to check the data stats as it could become outdated by time and also don't forgot to mention me.
Cheers : )
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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.
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Even though some other human capabilities like natural language are still way beyond machine's reach, the fear of this "control problem" is sometimes intensified by the assumption that human intelligence will be at some point surpassed in all domains by machines even if it is a controverse whether human elementary abilities like subjective experience, consciousness, moral values are even theoretically transferable to computers.
https://tech.rakuten.co.jp/
This document discusses various technologies presented at a Google Developer Student Club information session, including Flutter, Android development, artificial intelligence/machine learning, web development, and Google Cloud. It provides statistics on the growth and job prospects within each field, describes some core concepts and technologies within each area, and how the student club can help members learn and build projects in these areas through workshops, learning sessions, and connections with industry experts.
The document discusses the Junkbots project, which provides 12 hours of STEM activities to secondary school students using robotics and computational thinking. It aims to teach programming skills through building robots out of junk and programming Lego robots. The project has expanded to primary schools and uses Raspberry Pi and Scratch/Python programming. It teaches fundamental skills like debugging and collaboration. Computational thinking skills are strengthened through activities involving tinkering, abstraction, and logic. The project has received funding and resources, and the author questions how changes bringing computational thinking to K-12 curriculums will impact university curriculums.
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(𝐓𝐋𝐄 𝟏𝟎𝟎) (𝐋𝐞𝐬𝐬𝐨𝐧 2)-𝐏𝐫𝐞𝐥𝐢𝐦𝐬
𝐄𝐱𝐩𝐥𝐚𝐢𝐧 𝐭𝐡𝐞 𝐈𝐂𝐓 𝐢𝐧 𝐞𝐝𝐮𝐜𝐚𝐭𝐢𝐨𝐧:
Students will be able to explain the role and impact of Information and Communication Technology (ICT) in education. They will understand how ICT tools, such as computers, the internet, and educational software, enhance learning and teaching processes. By exploring various ICT applications, students will recognize how these technologies facilitate access to information, improve communication, support collaboration, and enable personalized learning experiences.
𝐃𝐢𝐬𝐜𝐮𝐬𝐬 𝐭𝐡𝐞 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐬𝐨𝐮𝐫𝐜𝐞𝐬 𝐨𝐧 𝐭𝐡𝐞 𝐢𝐧𝐭𝐞𝐫𝐧𝐞𝐭:
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These slides walk through the story of 1 Samuel. Samuel is the last judge of Israel. The people reject God and want a king. Saul is anointed as the first king, but he is not a good king. David, the shepherd boy is anointed and Saul is envious of him. David shows honor while Saul continues to self destruct.
2. “Right now is the most crazy Time
to live, something is happening in
the Tech world daily”
3. What are we discussing today?
1. What are recent updates in AI world.
2. And AI’s Practical use cases
4. Google launched the
Gemini 1.5
with a context window of up to 1
million tokens.
Yeshwantrao Chavan College of
Engineering (YCCE), Nagpur
5.
6. To be mentioned
● React JS got the React Compiler
● Today is on going event of Next JS
● OpenAI just launch GPT4-O
● Github got the Copilot Workspace
● so on and so on and so on really crazy.
8. we missed the DotCom boom
we missed the Social Media Wave
we missed a lot in decade but now
we should not miss the Artificial
Intelligence (AI) and Machine
Learning Wave