Arts are thought to be one of the last strongholds of human creativity that no machine can ever successfully imitate or supersede. However, in 2020, music and images created by artificial intelligence are no longer a prophecy – they are already developing, fully commercialized and available to the public. With the flourishing of artistic technology comes concerns from its audience: Are human artists going to be replaced by robots? What’s the future of creative arts like? How should we assign authorship to AI-generated art and music? Join us on December 3rd, 8-9PM EST in a discussion on how AI is coded to learn composing music and creating artistic designs, the ethics of its current practice, and how it will impact the creative arts landscape in the future. (More)

The afore-mentioned responsibility encompasses the encouragement of creative practices, as well as an openness for polymaths and cross-disciplinary approaches. There is a strong expectation that art-science-technology collaborations provide a valuable strategy for developing new and before unknown approaches by embracing errors and encouraging diversity, which allows a reflection on itself and its impact on society. These reflexions are essential for the creation of functioning human-machine interfaces in the further development steps of artificial intelligence. (More), an Israeli-based technology provider, uses cloud based Artificial Intelligence to revolutionize stroke care for doctors and patients. Join builder Adrian De Luca for this special edition of This is My Architecture as he dives deep into the solutions architecture of this ground breaking application that dramatically reduces systemic delays that stand between patients and life-saving treatments. Explore how the company integrates Computed Tomography (CT) images with Amazon S3 & Amazon Simple Queue Service (SQS), assembles and conducts inference of millions of files with Amazon EC2 & Amazon RDS, and improves stroke detection through an automated machine learning training workflow with AWS Lambda, AWS Batch & Amazon Fargate. (More)

Octopus, squid and cuttlefish — collectively known as cephalopods — have strange, massive, distributed brains. What do they do with all that neural power? Dive into the ocean with marine biologist Roger Hanlon, who shares astonishing footage of the camouflaging abilities of cephalopods, which can change their skin color and texture in a flash. Learn how their smart skin, and their ability to deploy it in sophisticated ways, could be evidence of an alternative form of intelligence — and how it could lead to breakthroughs in AI, fabrics, cosmetics and beyond. (More)

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Recorded at the GAIA conference on April 10th 2018 in collaboration with Ericsson. (More)

The beginning of chapter 1, somebody may want to listen to the reading of this book so I decided to do audio recordings. (More)

WILL A ROBOT STEAL MY JOB? Artificial intelligence is developing at breakneck speed, but what does this mean for the job market? Anne-Marie Tomchak, science journalist and the UK Editor of Mashable, investigates how robots could be on course to render the skills of much of the world’s population obsolete, and asks the question – are any of our jobs safe? In a series of exclusive interviews, Anne-Marie will speak to tech gurus, futurologists, including best-selling author of Rise of the Robots Martin Ford, and some of the world’s most advanced roboticists to find out how the rise of the machine in an age of increasing automation, is already invisibly shaping all of our lives. We think of robots as primarily being in factories; but the reality is that lawyers, accountants and even artists, are facing a future in which their livelihoods are threatened by artificial intelligence. From self-driving Tesla cars, to robo-journalists writing news by algorithm, artificially intelligent comedians, to state-of-the-art sex-robots, we are facing a future where vast swathes of the population will indeed surrender their job to machines. But Anne-Marie asks, is there also an opportunity: to adapt to a radically changing future, to adopt the technology, and to harness the rise of the robots for our own good? (More)

Martin Ford (US), Entrepreneur & Author, Solutionsoft
Andrew Hill (GB), Management Editor & Columnist, The Financial Times (More)

Our opinions of AI have been formed by mainstream media, but that stops now. We’re joined by New York Times best-selling author, Martin Ford to talk about what’s exciting, what’s scary, and what’s to come from machine learning. In his new book, Ford records the conversations he has had with the very people developing artificial intelligence. (More)

Martin Ford and Antony Sammeroff debate the impact of robotics on the economy.
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Oriol Vinyals is a Principal Scientist at Google DeepMind, and a team lead of the Deep Learning group. His work focuses on Deep Learning and Artificial Intelligence. Prior to joining DeepMind, Oriol was part of the Google Brain team. He holds a Ph.D. in EECS from the University of California, Berkeley and is a recipient of the 2016 MIT TR35 innovator award. His research has been featured multiple times at the New York Times, Financial Times, WIRED, BBC, etc., and his articles have been cited over 70000 times. His academic involvement includes program chair for the International Conference on Learning Representations (ICLR) of 2017, and 2018. He has also been an area chair for many editions of the NeurIPS and ICML conferences. Some of his contributions such as seq2seq, knowledge distillation, or TensorFlow are used in Google Translate, Text-To-Speech, and Speech recognition, serving billions of queries every day, and he was the lead researcher of the AlphaStar project, creating an agent that defeated a top professional at the game of StarCraft, achieving Grandmaster level, also featured as the cover of Nature. At DeepMind he continues working on his areas of interest, which include artificial intelligence, with particular emphasis on machine learning, deep learning and reinforcement learning. (More)

Named one of Fortune’s “50 greatest leaders of all time”, Peter Diamandis is disrupting education and business through his 19 startups and his role as founder and Executive Chairman of the Xprize. Guided by the stories handed down from his father, he used medical school to launch his space exploration and is now a multiple New York Times bestselling author . Dive in with Peter and Tom as they discuss the importance of cultivating passion, curiosity, and grit in this compelling episode of Impact Theory with Tom Bilyeu. (More)

How will Artificial Intelligence affect crime, war, justice, jobs, society and our very sense of being human? The rise of AI has the potential to transform our future more than any other technology—and there’s nobody better qualified or situated to explore that future than Max Tegmark, an MIT professor who’s helped mainstream research on how to keep AI beneficial. (More)

What are the emerging topics and potential societal benefits of artificial intelligence? Steve Eglash, executive director of the Stanford AI Lab, and event co-chairs Russ Altman, professor of bioengineering, genetics, medicine and computer science, and Fei-Fei Li, associate professor of computer science, open the 2016 Global Entrepreneurship Summit partner event, “The Future of Artificial Intelligence.” The event was hosted by the White House Office of Science and Technology Policy at Stanford University on June 23, 2016. Watch the remaining videos on this playlist to hear from the following people: (More)

3:30 Deep Learning: Machine Learning via Large-scale Brain Simulations (More)

David Pogue of Yahoo Tech explores advances in robotics and AI (or artificial intelligence) at the recent DARPA Robotics Challenge; and talks with director Alex Garland, whose new film, “Ex Machina,” features a sentient robot. (More)

Best finals project ever? Stanford students in the ‘Introduction to Mechatronics’ course build robots to do battle, sumo wrestler-style, to display their mastery of combining mechanical, electrical and computer engineering skills. (More)

Take an adapted version of this course as part of the Stanford Artificial Intelligence Professional Program. Learn more at: (More)

How is a total beginner supposed to get started learning machine learning? I’m going to describe a 3 month curriculum to help you go from beginner to well-versed in machine learning. Its an accelerated learning plan, something i’d create for myself if I were to get started today, but I’m going to open source it for you guys. This curriculum will cover all the math concepts, the machine learning theory, and the deep learning theory to get you up to speed with the field as fast as possible. If anyone asks how to best get started with machine learning, direct them to this video! (More)

Watch this 30 minute webinar to learn how to unlock the value of information to drive innovation, how to combat multiple repositories & information silos, empower innovation while maximizing existing IT investments and mitigate migration. (More)

Watch this 30 minute webinar to learn how to unlock the value of information to drive innovation, how to combat multiple repositories & information silos, empower innovation while maximizing existing IT investments and mitigate migration. (More)

In this webinar the spekers first analysed the state-of-the-art in the use of artificial intelligence for judicial purposes. We answered the following questions: (More)

2019 SASPA Conference Presentation
Artificial Intelligence (More)

Abstract: How do we allocate scarce sources? How do we fairly allocate costs? These are two pressing challenges facing society today. I discuss three recent projects concerning resource and cost allocation. In the first, we have been working with FoodBank Local, a social startup working in collaboration with food bank charities around the world to optimise the logistics of collecting and distributing donated food. Before we can distribute this food, we must decide how to allocate it to different charities and food kitchens. This gives rise to a fair division problem with several new dimensions, rarely considered in the literature. In the second, we consider how donated kidneys are allocated to waiting patients in Australia and New Zealand. Again, this gives rise to a fair division problem with a number of dimensions rarely considered in the academic literature. In the third, we have been looking at cost allocation within the distribution network of a large multinational company. This also has several new dimensions rarely considered in the literature. (More)

Thank you for being part of my Youtube family! We are now a 1k fam! 🙂 (More)

Toby Walsh (Professor of Artificial Intelligence, UNSW Sydney | Future of AI, AI & Robotics), Rupert Steffner (Founder, (Customer Experience, Personal Shopping)) & Viviane Hülsmeier (Co-Funder, CoPlannery (Machine Learning in Construction)) discuss about “Perspectives and Progress of AI” at on November 28th 2017. (More)

Robot Overlords or How I learned to Stop Worrying and Love AI.
Please enjoy this talk given by Matthew Williams to Larry Greenblatt’s CISSP class on May 24, 2018 (More)

“Conscious machines? A sober-minded approach”, talk by Dr. Susan Schneider (More)

A sober-minded philosophical exploration of what AI can and cannot achieve (More)

* Machine Learning Engineer Masters Program: *
Artificial Intelligence in Healthcare is revolutionizing the medical industry by providing a helping hand. This Edureka session will help you understand the positive impact of Artificial Intelligence in the healthcare domain along with practical implementation in Python. The following topics are covered in this session: (More)

Today we keep the 2019 AI Rewind series rolling with friend-of-the-show Timnit Gebru, a research scientist on the Ethical AI team at Google. A few weeks ago at NeurIPS, Timnit joined us to discuss the ethics and fairness landscape in 2019. In our conversation, we discuss diversification of NeurIPS, with groups like Black in AI, WiML and others taking huge steps forward, trends in the fairness community, quite a few papers, and much more. (More)

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