Stuart Russell – Provably Beneficial AI. Presentation given at CogX 2019, on the Alan Turing Research Stage
Chair: David Chalmers
Learn from Googlers who are working to ensure that a robust framework for ethical AI principles are in place, and that Google’s products do not amplify or propagate unfair bias, stereotyping, or prejudice. Hear about the research they are doing to evolve artificial intelligence towards positive goals: from accountability in the ethical deployment of AI, to the tools needed to actually build them, and advocating for the inclusion of concepts such as race, gender, and justice to be considered as part of the process.
With more board configurations than there are atoms in the universe, the ancient Chinese game of Go has long been considered a grand challenge for artificial intelligence. On March 9, 2016, the worlds of Go and artificial intelligence collided in South Korea for an extraordinary best-of-five-game competition, coined The DeepMind Challenge Match. Hundreds of millions of people around the world watched as a legendary Go master took on an unproven AI challenger for the first time in history.
Much of the Text Mining needed in real-life boils down to Text Classification: be it prioritising e-mails received by Customer Care, categorising Tweets aired towards an Organisation, measuring impact of Promotions in Social Media, and (Aspect based) Sentiment Analysis of Reviews. These techniques can not only help gauge the customer’s feedback, but also can help in providing users a better experience.
In this video, we will talk about first text classification model on top of features that we have described.
How to book appointment for Biometric enrolment- CANADA
TruGreen, the largest US lawn care company, is committed to providing everything that customers need to “live life outside.” That’s why TruGreen recently embarked on an all-up digital transformation—driving towards a culture of continuous innovation for its customers and associates. Teaming up with Microsoft, the company used Microsoft Power Virtual Agents to develop a new AI-enabled virtual agent bot combined with Microsoft Power Apps and Dynamics 365 Customer Insights—and it augmented its customer self-service mobile app with AI-driven image recognition. The bot understands and listens to customer needs, classifies and informs customers of insects and weeds in lawns, and responds to customers’ requests. By using Power Virtual Agents, Power Apps, and Customer Insights, TruGreen can provide even more proactive and predictive services to its customers, which frees employees to spend more time on higher value tasks and complex customer issue resolution.
High-tech virtual agents aren’t there when you need them – try using a RE/MAX agent instead.
Drew Dougherty discusses the Texans 2020 Schedule and the newest class of rookies.
Composite video from the 2013 Mid Atlantic Collegiate Cyber Defense Competition
The UK’s National Cyber Security Centre (NCSC) launched in 2017. Technical Director Ian Levy explains how the UK’s active cyber defence programme is working at the WIRED Security conference 2017. The country hasn’t yet seen the most severe cyberattack possible against it but it’s only a matter of time.
Stop Clicking! Paul Carugati will provide insights about the current “threat landscape” on the internet and how to stay safe in a dynamic environment.
Machine learning is moving toward an important advance: the development of flexible systems that can learn to perform multiple tasks and then use what they have learned to solve new problems on their own.
Discussion with panelists from CA Technologies, A Broadcom Company
Subramanian MS (Head of Analytics, bigbasket), Pravanjan Choudhury (CTO, Capillary Technologies), Ashish Anantharaman (Co-founder & CTO at ZestMoney) joined us at LetsIgnite 6th where they discussed how founders can leverage AI for the business and its maturity curve with respect to different verticals of a startup. The panel was moderated by Sanket Dhurandhar (AWS India Head, AI & Machine Learning).
DESIGNING OUR FUTURE: A PANEL DISCUSSION ON ARTIFICIAL INTELLIGENCE
AI researchers are striving to create intelligent machines that complement human reasoning and enrich human experiences and capabilities. At the core is the ability to harness the explosion of digital data and computational power with advanced algorithms that extend the ability for machines to learn, reason, sense, and understand—enabling collaborative and natural interactions between machines and humans. The Academic Research Summit 2019 is focused on the theme of Data Science and AI.
AI can meaningfully improve people’s lives and that the biggest impact will come when everyone can access.Deep learning involves building artificial neural networks which attempt to mimic the way organic(living) brains sort and process information
Fei-Fei Li came to the U.S. from China at 16 with a love for science and she never looked back. Educated at Princeton and Caltech, her early work in robotics revolutionized machine learning and AI. Her focus on inclusion in tech careers and diversity in what we teach machines suggests that tomorrow’s robots won’t be sexist.
Fei-Fei Li, a professor of computer Science at Stanford University and chief scientist of AI/ML at Google Cloud, sits down with SIEPR Director Mark Duggan for a conversation about her experience immigrating to the U.S.
00:45 – How can AI help humans to become better?
01:24 – How can AI improve music?
02:24 – What do you say to people who are afraid of losing their jobs to AI?
02:55 – How did Herbert von Karajan relate to technology?
Peter Norvig is a Director of Research at Google Inc. Previously he was head of Google’s core search algorithms group, and of NASA Ames’s Computational Sciences Division, making him NASA’s senior computer scientist. He received the NASA Exceptional Achievement Award in 2001. He has taught at the University of Southern California and the University of California at Berkeley, from which he received a Ph.D. in 1986 and the distinguished alumni award in 2006.
Blog post with audio player, show notes, and transcript: https://www.preposterousuniverse.com/podcast/2020/04/27/94-stuart-russell-on-making-artificial-intelligence-compatible-with-humans/
A summary analysis of human implemented, Earth based “AI”. And, non-human, off-planet, machine consciousness “AI”. The reality of it, its differences. https://www.andromedacouncil.com https://www.transformationalshiftevents.com
Serious Science – http://serious-science.org
Philosopher David Chalmers on artificial intelligence in movies, consciousness of computers and moral rights of artificial intelligence systems
Computational theories of the mind seem to be ideally suited to explain rationality. But how can computations be subverted by meaning, emotion and love?
Artificial You: AI and the Future of Your Mind, Princeton University Press
Author Susan Schneider Interview – BBC World News America, 10/1/19
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The hard problem of consciousness, as coined by the philosopher David Chalmers, asks: Why must we be conscious? Given that the brain is an information processing engine, why does it need to feel like anything to be us?
Dan Faggella founded a Brazilian Jiu-Jitsu Academy to pay for college and grad school which sparked the idea for his eCommerce business, Science of Skill. Science of Skill was created for the sole purpose of eventually selling it and using the exit money to fund an artificial intelligence market research company. He grew Science of Skill past $2 million in revenue, sold it in 2017, and TechEmergence was born completely funded by the exit. If you listen, you will learn: How recurring revenue helps the value of your business Importance of finding a marketing channel that ensures consistent profitability and growth Having key employees that can run the company without the owner can increase the value of the company and provide for a smoother transition/exit Importance of knowing how the processes of your company tie into growth and profit How to figure out and analyze the core metrics of your business Finding the right broker makes a ton of difference when selling a business Building Up Science of Skill Dan went from owning a physical Jiu-Jitsu gym to starting an eCommerce business. He started taping the Jiu-Jitsu seminars he was giving in person and putting them on the internet. He took the curriculum he used and studied himself and turned the videos, information, and skill development exercises into monthly subscription based lessons which would allow the company to have recurring revenue. “I had it impressed on me early on that recurring revenue is a good thing. Recurring revenue is going to help you sell for a higher margin. Recurring revenue is going to give you less nightmare than businesses that don’t have recurring revenue. The only reason I was able to sell that gym was because it was recurring so I think that lesson kind of traveled over. I transferred that to an online business model I could run from anywhere,” explains Dan. The Jiu-Jitsu videos and information quickly extended out into general self-defense and self-protection lessons which attracted a broader audience to Science of Skill making the company more diverse and valuable to a buyer. Starting With The End In Mind TechEmergence was always the goal at the end of the tunnel. Dan wanted to start a purpose led business in AI technology by growing and selling something highly profitable. He spent half his time giving Ted Talks, writing articles, and building a media business around artificial intelligence and spent the other half of his time selling self-defense materials on the internet. Dan wanted to sell Science of Skill quickly to fund his AI research company. He thought it would take a year or so and ultimately, it took over three years. He didn’t realize when founding the eCommerce business that it would be so difficult to sell. “I thought I am going to flip this bad boy and call it a day,” says Dan. Dan was under what he calls a “naïve belief” that he would be able to sell the company easily. In reality, he had to grow the company for four years before a bank would facilitate a seven-figure transaction. The banks required three years of tax returns and valuations. “Banks don’t like stuff that involve the internet,” says Dan. He did find a buyer who had previous experience in the eCommerce space with a bank that backed them. They purchased Science of Skill in early 2017. It was three years longer than what Dan originally planned and was anxious to get TechEmergence going on more of a full-time basis. Lessons Learned Dan learned a lot throughout the process of starting and selling his eCommerce business. Not only shouldn’t you expect to sell a small company a year after founding it, you also shouldn’t expect a “glamorous exit” unless you have a strategic buyer in your space, proprietary list, or something more than just your cash flow. “One of those naïve notions was that we could get some decent multiple of profit to sell the company. It is unusual for a small business to sell for that much more than 3X profit,” says Dan. Another lesson was that finding the right broker makes a ton of difference. The broker Dan dealt with had previously sold similar eCommerce businesses for around what he hoped for with his exit. Two of Dan’s biggest takeaways that allowed him to successfully scale and exit Science of Skill involved marketing and his team. Figuring out the marketing channel that worked for them was extremely important for growth. They invested heavily in marketing once they nailed down that email marketing was their channel. The next biggest takeaway was the importance of training a good team. “The owner shouldn’t be the guy responsible for bringing money in the front door,” says Dan. Training his team to be able to know and do everything he could allowed him to step away from the company and use his exit money to fund his next venture that had been brewing since the beginning. Contact Information and Bio for Dan: LinkedIn: https://www.linkedin.com/in/danfaggella/ Twitter:…