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: https://stanford.io/3bhmLce (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, WUNDER.ai (Customer Experience, Personal Shopping)) & Viviane Hülsmeier (Co-Funder, CoPlannery (Machine Learning in Construction)) discuss about “Perspectives and Progress of AI” at hub.berlin 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: https://www.edureka.co/masters-program/machine-learning-engineer-training *
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)

Künstliche Intelligenz und Maschinen haben bis heute gezeigt, wie gut sie darin sind, zu analysieren und zu rechnen. (More)

Artificial intelligence (AI) is believed to be the core of the next industrial revolution, but many questions remain. How can public trust in AI? How can privacy be protected in the “big data” era? How will AI impact the labor market?
The CGTN Focus Group arrives in Shenzhen, China’s hub of technological innovation, to listen to insiders as part of our special coverage of the Boao Forum for Asia. (More)

In this programme the world’s leading experts attempt to build an artificial human based on actress Gemma Chan, star of the sci-fi series Humans, for a ground-breaking scientific stunt that will test just how far away we are from ‘synthetic’ humans. (More)

The big change Artificial Intelligence is bringing applies not only to individuals but also business as well. (More)

As machine learning systems enter the open world, their accountability becomes a high priority problem. Accountability requires deep understanding of system behavior and its failures. Characterization of failures and shortcomings is particularly complex for systems composed of multiple machine learned components. In this talk, I will discuss our work on troubleshooting and in-depth failure analysis for such systems. First, I will present a methodology for applying counterfactual analysis with humans in the loop for the purpose of understanding which component fixes are the most effective ones for a given system architecture. Second, I will describe the functionalities and tools that we have built for detailed system performance analysis and prediction. Both works will be illustrated via a real-world case study example of a machine learning pipeline for image captioning. (More)

AI – everyone is talking about it but who is actually doing it (and generating business results). This session takes an industry by industry perspective on true AI adoption disambiguating the hype from the reality, the theoretical from the practical and the research labs from ROI.
This presentation provides:
Showcase companies getting actual real value from leveraging artificial intelligence and discuss ideas around how any company, from SMB to enterprise, can use artificial intelligence within their own business and industry.
See examples of AI working in the real world featuring the following industries:
– eCommerce/Retail
– Robotics and IoT
– Agriculture Technology
– Education (More)

Artificial intelligence stocks could add another $30 trillion to the economy AND your portfolio! I’m digging into the research to find the best AI stocks for your money. (More)

Telegram Channel – https://t.me/krisdominvestor
Join this channel to get access to perks:
https://www.youtube.com/channel/UCrzAWJh-XAfTB_4TSaleYRg/join (More)

Telegram Channel – https://t.me/krisdominvestor
Join this channel to get access to perks:
https://www.youtube.com/channel/UCrzAWJh-XAfTB_4TSaleYRg/join (More)

There’s a massive bait-and-switch at the center of facial recognition technology. (More)

VICE’s Elle Reeve heads to China to investigate the rise of facial recognition technology — and what that means for all of us. (More)

Learn from experts how to succeed with AI and automation. Watch the full recording of UiPath Live! https://bit.ly/3aIXwl7 (More)

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