Day 3: April 6th 2018
Analyzing the challenges posed by Artificial Intelligence at the 4th Heidelberg Laureate Forum – Experts discuss the costs and benefits created by developments brought on by Artificial Intelligence.
Computers just got a lot better at mimicking our language.
Deep Learning Vs Machine Learning | AI Vs Machine Learning Vs Deep Learning
Hello and welcome to Acadgild’s tutorial on data science.
In this video, we explain the difference between three key concepts artificial intelligence vs machine learning vs deep learning – to understand how they relate to the field of data science.
Join Daniel Faggella, CEO of Emerj Artificial Intelligence Research (www.emerj.com), on bringing crucial AI research to investors and law enforcement alike to create essential frameworks – from media formats to regulatory guidelines and gradients of punishment – that deal with the shift in audio and visual contents, from artifacts of real things in the past, to tinkered content which can range from simple pranks to deepfakes that can affect stock markets, politics, and global security
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.
Do you need to know math to do machine learning? Yes! The big 4 math disciplines that make up machine learning are linear algebra, probability theory, calculus, and statistics. I’m going to cover how each are used by going through a linear regression problem that predicts the price of an apartment in NYC based on its price per square foot. Then we’ll switch over to a logistic regression model to change it up a bit. This will be a hands-on way to see how each of these disciplines are used in the field.
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
IBM’s Watson is being used in lots of companies around the world and its influence is expanding exponentially. Watson has been upgraded so that it could make more precise diagnosis as human doctor can. Watson has the ability to generate scientific solutions with the basis of Big Data. It could understand natural language and make theories and make complex decisions better than humans. Global experts will talk about the limit of machine learning, relationship between humans and machines, and the survival methods of companies in the AI Era.
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.
Love those cool robots on futuristic movies? Here is a bunch of super cool household robots that you can keep at your home. These robots are super cool that they can do a lot of things easier for you. They come with unique features like personal assistant, smart home monitoring etc. All the robots featured in this video are linked down below.
Go to: http://www.Atlassian.com to learn more…
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From global leader of Watson for IBM global business services to enterprise artificial intelligence leader Noodle AI, Stephen Pratt has a fascinating story to share.
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
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.