Medical diagnosis often is based on information visible from medical images. But what if machine learning and artificial intelligence could help our doctors gain more knowledge from medical images and therefore predict diseases earlier? New research indicates this is indeed possible, and the implications for preventive medicine and several disease types are large. Learn about it in this talk.
Daniel Gillblad, PhD, Director, Decisions, Networks and Analytics Laboratory, RISE SICS AB
.Artificial intelligence beyond Machine Learning, and what are we at RISE SICS doing in this area.
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
Consider Our Merchandise! ► http://bit.ly/Corridor_Store
WATCH HOW WE MADE THIS (Amazing) ► https://www.youtube.com/watch?v=gCuG-KJacp8
I’m going to build a medical imaging classification app called SmartMedScan! The potential customers for this app are medical professionals that need to scale and improve the accuracy of their diagnoses using AI. From ideation, to logo design, to integrating features like payments and AI into a single app, I’ll show you my 10 step process. I hope that by seeing my thought process and getting familiar with the sequence of steps I’ll demonstrate, you too will be as inspired as I am to use this technology to do something great for the world. Enjoy!
Bradford reviews all 4 of the Machine Learning startups he started since 2008 and distills some themes for the future. It’s technical but is pretty high level.
The founder of Sun Microsystems predicted that artificial intelligence will replace 80% of physicians, but he says the profession could fortify itself by changing its focus. Here, he discusses how physicians can save their jobs in the future with Medscape Editor in Chief, Eric Topol, MD.
When it comes to decision making, it might seem that computers are less biased than humans. But algorithms can be just as biased as the people who create them.
Drastic improvements in automation and artificial intelligence over the last decade or so, and wary comments from high-profile tech industry tycoons like Elon Musk and Bill Gates, have led to rumblings of uncertainty about economic displacement. Veteran New York Times science writer John Markoff admits to having contributed to rising concerns in recent years, but says he now sees the issue from a more Keynesian perspective.
Many people view the triumph of the computer Watson over the world’s best Jeopardy players in 2011 as the leading edge of a new age of smart machines. Since then, we have seen self-driving cars, smart search engines, and increasingly able robots moving from the realm of science fiction to deployed technology. As this occurs, we increasingly hear dystopian futurists bemoan a world where drones will replace pilots, computers will replace doctors, and scientists will be put out of work as intelligent computers increasingly replace the knowledge workers in modern society. They worry whether, as scientist Steven Hawking stated, “The development of full artificial intelligence could spell the end of the human race.” In this talk, Dr. Hendler will explore that position and contrast with another approach — that “social machines,” which bring together humans and increasingly intelligent computers, may not be something to fear, but rather the best hope to solve the complex problems facing our world.
Audience targeting and automatic content creation are just a few of the many ways AI can be used to help grow your user base and increase sales. In this video, i’ll go over some startups that are applying AI to the marketing space and then programmatically walk through some AI techniques like matrix factorization, SVD, and LSTM neural networks that help a marketer outperform the competition and get the optimal results for their business. We’ve got quite a lot to cover in this video!
An excerpt from the 1968 film “2001: A Space Odyssey” directed by Stanley Kubrick.
Our solar system now is tied for most number of planets around a single star, with the recent discovery of an eighth planet circling Kepler-90, a Sun-like star 2,545 light years from Earth. The planet was discovered in data from NASA’s Kepler space telescope.
Boston Dynamics adındaki kuruluşun google desteği ile ürettiği birkaç prototipin ürettiği fonksiyonları görüyoruz. Üstün hareket kabiliyeti ve muazzam denge yetenekleri ile bu prototipler sıradan bir robottan daha fazlası.
The DARPA Challenge is a competitive obstacle course that allows robotics teams to win millions in prize money. More than that, the challenge displays the future benefits of general purpose robots that could aide in future disaster relief.
MIT 6.034 Artificial Intelligence, Fall 2010
View the complete course: http://ocw.mit.edu/6-034F10
Instructor: Patrick Winston
Salut a tous les amis ! On se retrouve aujourd’hui pour une nouvelle map nommé Burning Hotel with Ted !
Elon Musk speaks about artificial intelligence at the World Government Summit.
Go to: http://www.Atlassian.com to learn more…
Produced by the Royal Society, more info can be found at https://royalsociety.org/topics-policy/projects/machine-learning/
Unboxing and installation of Cambridge Consultants’ NVIDIA DGX-1 Deep Learning Supercomputer
And here comes the wave or Dwave of individual quantum computers in every college, labratory etc. all tied together in a daisy chain to help usher in entities that couldnt otherwise enter our physical realm, yeah Science.
https://www.patreon.com/RichieFromBoston Help me help others as well as Make much needed upgrades to my equipment and channel
Special thanks to ODD Reailty
And NICHOLSON1968 for the intros and outros
This video is about The Hive Annual Summit – Rand Hindi
Geordie Rose creator of the quantum computer speaks about the future of D-Wave and parallel universe followed by the coming age of A.I. Technology. This is a 2001 Space Odyssey mash up
Dr. Animashree Anandkumar is a Bren Professor at the California Institute of Technology and Director of Machine Learning Research at NVIDIA. She develops machine-learning algorithms that enable computers to process dimensional data using tensors. She finds ways to make these algorithms scale more effectively. She earned several prizes for her work including the Alfred P. Sloan Research Fellowship, NSF Career Award, and faculty fellowships from Adobe, Google, and Microsoft. Additionally, Anandkumar was nominated to the World Economic Forum’s network of experts for many fields including academia, business, and the arts. Dr. Animashree Anandkumar is a Bren Professor at Caltech and Director of Machine Learning Research at NVIDIA. She develops machine-learning algorithms that enable computers to process dimensional data using tensors. She finds ways to make machine learning algorithms scale more effectively. She earned several prizes including the Alfred P. Sloan Research Fellowship, NSF Career Award, and faculty fellowships from Adobe, Google, and Microsoft. Anandkumar was nominated to the World Economic Forum’s network of experts for many fields including academia, business, and the arts. 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
When most of us look at A.I. we see magical capabilities. When economists look at A.I. they see something very different. Economist Ajay Agrawal explains: “What economists bring to the conversation is that they are able to look at a fascinating technology like artificial intelligence and strip all the fun and wizardry out of it and reduce A.I. down to a single question, which is, ‘What does this technology reduce the cost of?'” Never has one person taken such delight in stripping the fun from something awesome. But what does A.I. lower the cost of? Predictions, says Agrawal. Intelligent machines can take information we have and use it to generate information we need. Uncertainty is the single biggest hurdle in good decision making, and A.I. can drastically increase certainty in many areas, like automated vehicles, language translation, human resources and medical diagnostics. As A.I. becomes a cheaper technology, its use will become even more widespread. “Where I think it’s really interesting is that when it becomes cheap, we’ll start using it for things that weren’t traditionally prediction problems but we’ll start converting problems into prediction problems to take advantage of the new, cheap prediction.” Ajay Agrawal is the co-author of Prediction Machines: The Simple Economics of Artificial Intelligence.
Elon Musk is the CEO of Tesla, SpaceX, Neuralink, and a co-founder of several other companies. This conversation is part of the Artificial Intelligence podcast. The series includes leading researchers in academia and industry, including CEO’s and CTO’s of automotive, robotics, AI, and technology companies. See the comments I make in the introduction to this video below in text form.
We display more than 7000 different facial expressions every day and we perceive all of them very intuitively. We associate to them attitudes, emotions, intentions, and moods. They are the window into our inner selves. Maja Pantic uses artificial intelligence and machine learning techniques to analyse human non-verbal behaviour, including facial expressions, body gestures, laughter, social signals, and affective states. In this video, she shows how these techniques can be used for the good of people – helping autistic children interpret other people’s facial expressions – or for the bad. Maja imagines AI enhancing human abilities further, allowing for sight, hearing and even communicating to be aided by computers. However, she urges all of us to protect out own behavioral data from corporate misuse. Professor Maja Pantic went from studying mathematics in her native Belgrade, Serbia, to specialising in computer sciences in Delft, the Netherlands. From Delft, Pantic moved to London where she is now Professor of Affective and Behavioural Computing and the Head of the iBUG group, working on machine analysis of human non-verbal behaviour. In May 2018, she became the Research Director of Samsung AI Research Centre in Cambridge. 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
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?
Funny Clip From Burnsitown The Programme Elevator Clip – The 2 Guys Cant Get The Voice Recognition Thing In The Elevator To Work Hilarious ! !
Hear from Diane Greene, SVP of Google Cloud; Sundar Pichai, CEO of Google; Eric Schmidt, Chairman of Alphabet and Fei-Fei Li, Chief Scientist for Google Cloud Machine Learning and AI and Professor of Computer Science at Stanford. Our lineup of executives will discuss what Google Cloud offers today and discuss Google Cloud’s vision for the future. Attendees will also hear how our customers and partners are embracing the cloud in new and innovative ways.
A VR game for experiencing the life of a transgender boy