Artificial intelligence, AI, has been heralded as transformational, disrupting industries and societies, even altering powers among nations. China’s ambition is to become a global innovation center by 2030. Why has China made AI a national priority? What are China’s advantages and disadvantages? Shouldn’t China and the US be partners, not adversaries, to assure that AI serves humanity, not the reverse?
Artificial Intelligence is touching almost every aspect of our lives. It’s reasonable to expect AI influence will only increase in the future. One of many fields heavily influenced by AI is the military. Particularly in the development of Supersoldiers. The notion of super-soldiers enhanced with biotechnology and cybernetics was once only possible in the realm of science fiction. But it may not be too long before these concepts become a reality.
China announced in 2017 its ambition to become the world leader in artificial intelligence (AI) by 2030. While the US still leads in absolute terms, China appears to be making more rapid progress than either the US or the EU. In this video I break down how China is accomplishing this feat, and answer the question: Can China be Trusted?
In this video, I discuss How can Artificial Intelligence be used in businesses?
Pedro Uria-Recio is a senior marketing leader, highly experienced in data analytics, Artificial Intelligence, product marketing, and P&L management. As the head of Axiata Analytics, Pedro leads advanced analytics and AI across the operational companies of Axiata Group, a telecom and digital conglomerate in 11 Asian countries. With a cross-functional team of marketing specialists, data scientists and engineers as well as digital professionals, Pedro focuses on marketing analytics, digital growth hacking as well as new revenue streams. Pedro Uria-Recio is a senior marketing leader, highly experienced in data analytics, Artificial Intelligence, product marketing, and P&L management. As the head of Axiata Analytics, Pedro leads advanced analytics and AI across the operational companies of Axiata Group, a telecom and digital conglomerate in 11 Asian countries. With a cross-functional team of marketing specialists, data scientists and engineers as well as digital professionals, Pedro focuses on marketing analytics, digital growth hacking as well as new revenue streams. 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
How can artificial intelligence (AI) improve beer?
Let’s face it. Pretty soon, robots will take over the world, and humanity will become a distant memory. The good news is, by the time technology catches up to The Terminator, we will already be dead.
The sixth interview of the series features Martin Ford (Futurist and Author), Carl Benedikt Frey (University of Oxford), & Joshua Gans (University of Toronto), who will discuss how technological progress has historically and is currently affecting our economy, especially focusing on the labour-market. Will this be different for the currently disruptive technologies, especially AI and robotics, and if so, how? How should we interpret predictions about future progress in AI, such as when we’ll have self-driving cars? What can we learn about history and models from how AI and robotics will change our economy and labour-market? What should we change in our economics education related to this topic?
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Andrew Ng, Adjunct Professor & Kian Katanforoosh, Lecturer – Stanford University
Learn Artificial Intelligence from leading experts and attain a Dual Certificate in AI and Machine Learning from world-renowned universities. Take the step towards your professional growth by obtaining expertise in the real-world application of the latest technological tools of AI. Over 500+ Hiring Partners & 8000+ career transitions over varied domains.
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Learn how to use TensorFlow 2.0 in this full tutorial course for beginners. This course is designed for Python programmers looking to enhance their knowledge and skills in machine learning and artificial intelligence.
Advocates for AI defend it as manageable and say the risks are marginal, and the rewards life-improving, by empowering more people with instant information. But critics warn about transparency gaps and power disparities, including a slippery slope into a digital apocalypse where superintelligent machines surpass humans’ ability to control them. Watch as four experts weigh in on the future of AI.
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Don’t Settle for a Divided World. Think. Debate. Act. Let’s find solutions to the world’s most pressing problems.
The success of any human-crewed interstellar mission depends on the existence of effective human-machine relationships. We anticipate that machines during such a mission won’t simply play the part of a supporting, background role, like an autopilot. Instead, navigating the demands of such a mission means that machines need to be equal ethical partners with humans, making decisions under conditions of irreducible uncertainty, in scenarios with potentially grave consequences.
An educational video made by Ted to help people to understand the machine intelligence.
ACHLR ‘The Ethics of Artificial Intelligence: Moral Machines’ Public Lecture
Low light AR demo with an iPad Pro. An AI equipped LAV taking down AI equipped Tomcat F14’s.
The danger of assuming general artificial intelligence will be the same as human intelligence. Rob Miles explains with a simple example: The deadly stamp collector.
For more related content visit: http://www.itproportal.com
Presented by SGInnovate
Partnered with Centre on AI Technology for Humankind
Today many businesses are trying to transform to adapt to the new realities of the world. Future business models are often dependent on available technology. For example, the Uber business model is made possible because of smartphones. Technology will be a major component of those future state of any business.
The latest episode of the Disruptive Technologies Research Cluster at the University of Salford, hosted by Dr Alex Fenton and Prof Andy Miah
Get the episode post and all the links here:
The third edition of the roundtable on ethics of Artificial Intelligence (AI), organized on 26 March 2021, focused on the role of cultural diversity in shaping the future of AI.
Read my blog to learn about AI, Machine Learning, Deep Learning, and related subjects:
Sam Harris and Steve Jurvetson discuss the future of artificial intelligence at Tim Draper’s CEO Summit.
AI research endured years of failure and frustration before new techniques in deep learning unleashed the swift, astonishing progress of the last decade. Michael’s recent book A Brief History of Artificial Intelligence explores what we can learn from this history, and examines where we are now and where the field is going.
Artificial intelligence as a threat to humans? Nope, says Rodney Brooks. AI-alarmists like Stefan Hawking or Elon Musk take a false perspective when they transfer human skills to machines. One example: If a machine solves arithmetical problems in a flash and wins highly complex games against humans, they conclude it is super smart – and thus smarter than humans. But according to Brooks, it is not that simple. What we can expect instead from AI and robotics in the next 10 to 20 years? How fast will technology actually progress and what significance will ethics have? Three of many questions one of the greatest pioneers of robotics answers in our DUB Business Talk.
Prof. Rodney Brooks, MIT
Robots and People; the Research Challenge
(with English Subtitles)
Amazon Augmented AI (Amazon A2I) is a fully managed machine learning service which makes it easy to build the workflows required for human review. Amazon A2I brings human review to all developers, removing the undifferentiated heavy lifting associated with building human review systems or managing large numbers of human reviewers whether it runs on AWS or not.
We’ve traditionally thought of intelligence as something mysterious that can only exist in biological organisms, especially humans. But from my perspective as a physicist, intelligence is simply a certain kind of information processing performed by elementary particles moving around, and there’s no law of physics that says one can’t build machines more intelligent than us in all ways. This suggests that we’ve only seen the tip of the intelligence iceberg, and that there’s an amazing potential to unlock the full intelligence that’s latent in nature and use it to help humanity flourish – or flounder. I discuss recent progress both in building AI and in staying on ensuring that it’s societal impact is beneficial, keeping us on the right side of that flourish/flounder balance.
A Wharton professor and tech entrepreneur examines how algorithms and artificial intelligence are starting to run every aspect of our lives, and how we can shape the way they impact us
Artificial Intelligence and Experience Series (AIEX):
“Do People Perceive Machines as Moral Agents?”
Bert F. Malle
Department of Cognitive, Linguistic, and Psychological Sciences Brown University
Futurists have been predicting the rise of self-aware artificial intelligence for decades, prompting Thomas Hornigold to quip that AI has been just 20 years away since 1956.
Read more: https://www.richardvanhooijdonk.com/en/blog/ai-and-morals-should-we-can-we-teach-human-morality-to-machine-minds