The marriage of human and machine is commonly referred to as “augmented intelligence”. It is a logical and highly valuable intermediate step on our path to complete automation of significant parts of our lives. Augmented intelligence technologies leverage artificial intelligence to support humans’ decision processes. A concrete case of highly evolved augmented intelligence could be detecting cancer on medical images, computing confidence scores of these predictions, forwarding critical/low-confidence cases to a professional together with an explanation of what the system may have found suspicious, the professional then may return his feedback to the system for it to continue learning. The benefits of such systems are twofold. First, augmented intelligence builds trust through supporting humans without taking away their decision-making power. Trust in machine intelligence is an important prerequisite to more extensive automation. Second, it is important to recognize that both, machines and humans, have different strengths. Whilst machines excel at processing data at a high pace and at recognizing patterns they have frequently seen before, humans are able to learn well based on very few samples and are more flexible in their thinking and perception. Therefore, ideally, these strengths are combined to achieve synergies. However, making this marriage of machine and human a happy one is not trivial.
George Yang is the founder and CEO of AI Pros, a tech start up which operates in Silicon Valley, California and Manila. Surrounded by technology and discussions of how Artificial Intelligence (A.I.) can replace Human Intelligence (H.I.), George Yang introduces the idea of Augmented Intelligence - how A.I. and H.I. can add value to the other and create something better entirely. George Yang is the founder and CEO of AI Pros, a tech start up which operates in Silicon Valley, California and Manila. Surrounded by technology and discussions of how Artificial Intelligence (A.I.) can replace Human Intelligence (H.I.), George Yang introduces the idea of Augmented Intelligence - how A.I. and H.I. can add value to the other and create something better entirely. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx
Blockchain technology, Deep Learning, and Interplanetary File Systems? How can we merge all this cool new technology to create something useful and beautiful? Watch this talk to learn about.
Some of the hottest topics in technology today are Blockchain (not Cryptocurrency), IoT - the Internet of Things and Artificial Intelligence/Machine Learning. However, these are often talked about individually. But, how do they relate and why? What is driving the convergence of these technologies? What should you know to prepare yourself to drive the impact these technologies will make on the future?
As a whole, society has never gotten worse off from technological disruption, yet ewe are scared out of our minds of Artificial Intelligence (AI). Most people don't understand AI, but it will never exist and it's actually so much better than that. A Minnesota boy at home in the mountains, when Charlie is not teaching his nine and two year olds how to ski powder he is using mathematics to tell computers how to discover patterns in data. He believes that by sharing information on computer science, we are all better off. He also thinks that if you only give him the chance he can teach you any statistical concept and that you’ll walk away actually thinking positively about math. Charlie has co-founded two software product companies based on artificial intelligence while a PhD student at CSU, in the Real Estate FinTech and Healthcare spaces, while failing a handful of others. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx
Video Compilation (#2) on Artificial Intelligence, Computational Neuroscience, and Machine Learning.
This video provides a list of YouTube videos and playlists, which you can use to improve your knowledge in the areas of machine learning and deep learning. Below are the links to each video/playlist:
Andrew Ng, Computer Science, Stanford U., CA
Searching a image when you know the name is possible.
But if you want to search for a name if you have only image or logo then what ?
Google has a feature called google goggle.
This feature helps you detect the name of the logo.
This software works on Artificial Intelligence.
This Machine Learning vs Deep Learning vs Artificial Intelligence video will help you understand the differences between ML, DL and AI, and how they are related to each other. The tutorial video will also cover what Machine Learning, Deep Learning and Artificial Intelligence entail, how they work with the help of examples, and whether they really are all that different.
2018 has been an eventful year for AI to say the least! We've seen advances in generative models, the AlphaGo victory, several data breach scandals, and so much more. I'm going to briefly review AI in 2018 before giving 10 predictions on where the space is going in 2019. Prepare yourself, my predictions range from more Kubernetes infused ML pipelines to the first business use case of generative modeling of 3D worlds. Happy New Year and enjoy!
** NIT Warangal Post Graduate Program on AI and Machine Learning: https://www.edureka.co/nitw-ai-ml-pgp **
This Edureka Machine Learning tutorial (Machine Learning Tutorial with Python Blog: https://goo.gl/fe7ykh ) on "AI vs Machine Learning vs Deep Learning" talks about the differences and relationship between AL, Machine Learning and Deep Learning. Below are the topics covered in this tutorial:
Laura Montoya is the Founder and Managing Partner of Accel Impact, including Accel.AI, a global Non-Profit Institute lowering the barriers to entry in engineering artificial intelligence, and LXAI (www.latinxinai.org) an initiative to create opportunity for Latinx in AI. She has been described as a natural and versatile leader with a passion for AI, Computer Science, Research, and Psychology. Her talk explores modeling AI algorithms for social impact through theory, applications, and correlations to real world experience. She describes concepts in reinforcement learning and deep learning, with analogies to evolution of the individual and societies.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx
We're about to find out! Would you want a robot judge in court!?
The robot is a judge and his responsibility is to deliberate a verdict in a court case. During the case, the robot has to listen to both sides of the story (both, plaintiff and defendant). Occasionally, the robot would ask questions to clarify certain events or steer the conversation in a certain direction. These are strategies judges use to uncover the truth. While the robot is listening to witnesses, his mind is creating a fabricated movie on words listened to. In other words, he is imagining a linear story of what happened in his mind. This fabricated movie is made up of pictures, animation, 5 sense data, and diagrams. At the end of the witnesses story, the robot has an understanding of what happened through a fabricated movie in his mind.
When we want to solve a complicated math problem quickly and accurately, many of us will turn to a calculator without thinking twice. But would you want a machine determining the outcome of a complex legal case? This is the question Jaerin Jo got hung up on after participating in a debate about AI at her school. Jaerin's own father is a judge in South Korea, and imagining a future where robots preside over courtrooms brought up many brain-twisting questions about the appropriate uses of AI and the nature of justice itself. This thought-provoking Talk imagines what an AI justice system might look like, and asks you to consider how you would participate in it.
Molly Wright Steenson is the K&L Gates Associate Professor of Ethics & Computational Technologies at Carnegie Mellon University & Senior Associate Dean for Research in the College of Fine Arts. A designer, writer, and international speaker, she is the author of Architectural Intelligence: How Designers and Architects Created the Digital Landscape (MIT Press, 2017), which traces the radical history of AI’s impact on design and architecture, and the co-editor of the forthcoming book Bauhaus Futures (MIT Press, 2019). Molly cut her teeth on the Web in 1994 and has worked at groundbreaking design studios, consultancies, and Fortune 500 companies. She holds a PhD in Architecture from Princeton University and a master’s in architectural history from the Yale School of Architecture.
In this talk, Molly speaks about design and artificial intelligence. More specifically, what can AI learn from design, and what can design reveal about what goes on within AI.
“Deep Learning” is an area in artificial intelligence research and design where a “ton of breakthroughs are happening right now,” says Fast.AI co-founder Rachel Thomas. Fast.AI’s mission in the AI space is to make Deep Learning more accessible to more people. Where before, you’d need graduate-to-Ph.D.-level work in math just to understand what’s going on, now Fast.AI’s course ware makes Deep Learning techniques available to everyday coders.
We all use artificial intelligence, it is very advanced and it will keep evolving. How are we preparing for the advance in technology? Technology advisor for empowering people and organizations to achieve more. He is also a sports enthusiast, and currently works at Microsoft. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx
Artificial intelligence expert Matt Zeiler explains why diversity in building AI matters.
This presentation took place at the Deep Learning Summit in San Francisco on 29-30 January 2015. https://www.re-work.co/events/deep-learning-sanfrancisco-2015
Named as one of 10 Women to Watch in Tech in 2013 by Inc. Magazine, Vivienne Ming is a theoretical neuroscientist, technologist and entrepreneur. She co-founded Socos, where machine learning and cognitive neuroscience are combined to maximize students’ life outcomes.
Vivienne has developed a predictive model of diabetes to better manage the glucose levels of her diabetic son and systems to predict manic episodes in bipolar sufferers.
Vivienne Ming, Founder & Executive Scientist, Socos
Artificial intelligence is transforming industries and businesses, revamping the ways we understand information, and automating human work. SU Networks & Computing Systems faculty Jeremy Howard, in discussion with Socos CEO Vivienne Ming and Peter Diamandis, will explore where AI may lead us in the coming years.
Xavier Vasques’s session for WithTheBest
Henri Bergius, VP engineering at The Grid, an AI that builds your website based on its content, hacker and occasional adventurer, is the creator of Create.js and NoFlo.
What is the best way to address a global water crisis? Cloud computing and artificial intelligence researcher Prateek Joshi discusses how we can use artificial intelligence in a data-driven economy to address rising water prices, greater demand, and scarcer supply to improve water access on a global scale.
Data science holds the potential to impact our lives and how we work dramatically. Despite its promise, many questions about data science remain. How real is this emerging discipline? What opportunities and challenges does it present? How can Stanford nurture data science in research and education? Watch the video and hear some of Stanford's thought leaders debate the answers to these questions.
Jeremy Walker is an entrepreneur and software developer who specialises in building businesses that utilise artificial intelligence in the advancement of medicine and education. He is the CEO of Thalamus and CTO for a number of businesses that he co-owns including Reachora, Exercism, and Kaido. He previously co-founded Meducation, a medical education platform used by 15% of medical students worldwide. Jeremy has a degree in Artificial Intelligence from the University of Birmingham, is a respected Ruby developer and contributes to various open source projects. In his spare time he climbs, reads and thinks. He is driven by making the world fairer for everyone and passionate about creating amazing places to work.” Jeremy Walker is an entrepreneur and software developer who specialises in building businesses that utilise artificial intelligence in the advancement of medicine and education. He is the CEO of Thalamus and CTO for a number of businesses that he co-owns including Reachora, Exercism, and Kaido. He previously co-founded Meducation, a medical education platform used by 15% of medical students worldwide.