We are witnessing a professional revolution where the boundaries between man and machine slowly fade away, giving rise to innovative collaboration.
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As Artificial Intelligence (AI) continues to advance by leaps and bounds, it’s impossible to overlook the profound transformations that this technological revolution is imprinting on the professions of the future. A paradigm shift is underway, redefining not only the nature of work but also how we conceptualize collaboration between humans and machines.
Twenty-four years ago, Ray Kurzweil predicted computers would reach human-level intelligence by 2029. This was met with great concern and criticism. In the past six months technology experts have come around to agree with him. According to Kurzweil, over the next two decades, AI is going to change what it means to be human. We are going to invent new means of expression that will soar past human language, art, and science of today. All of the concepts that we rely on to give meaning to our lives, including death itself, will be transformed.\ \ Speakers:\ Ray Kurzweil\ Inventor, Futurist \& Best-selling author of ‘The Singularity is Near’\ \ Reinhard Scholl\ Deputy Director, Telecommunication Standardization Bureau\ International Telecommunication Union (ITU)\ Co-founder and Managing Director, AI for Good\ \ The AI for Good Global Summit is the leading action-oriented United Nations platform promoting AI to advance health, climate, gender, inclusive prosperity, sustainable infrastructure, and other global development priorities. AI for Good is organized by the International Telecommunication Union (ITU) – the UN specialized agency for information and communication technology – in partnership with 40 UN sister agencies and co-convened with the government of Switzerland.\ \ Join the Neural Network!\ 👉https://aiforgood.itu.int/neural-netw…\ The AI for Good networking community platform powered by AI. \ Designed to help users build connections with innovators and experts, link innovative ideas with social impact opportunities, and bring the community together to advance the SDGs using AI.\ \ 🔴 Watch the latest #AIforGood videos!\ / aiforgood \ \ 📩 Stay updated and join our weekly AI for Good newsletter:\ http://eepurl.com/gI2kJ5\ \ 🗞Check out the latest AI for Good news:\ https://aiforgood.itu.int/newsroom/\ \ 📱Explore the AI for Good blog:\ https://aiforgood.itu.int/ai-for-good…\ \ 🌎 Connect on our social media:\ Website: https://aiforgood.itu.int/\ Twitter: / aiforgood \ LinkedIn Page: / 26,511,907 \ LinkedIn Group: / 8,567,748 \ Instagram: / aiforgood \ Facebook: / aiforgood \ \ What is AI for Good?\ We have less than 10 years to solve the UN SDGs and AI holds great promise to advance many of the sustainable development goals and targets.\ More than a Summit, more than a movement, AI for Good is presented as a year round digital platform where AI innovators and problem owners learn, build and connect to help identify practical AI solutions to advance the United Nations Sustainable Development Goals.\ AI for Good is organized by ITU in partnership with 40 UN Sister Agencies and co-convened with Switzerland.\ \ Disclaimer:\ The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.
This is the concept behind mind uploading – the idea that we may one day be able to transition a person from their biological body to a synthetic hardware. The idea originated in an intellectual movement called transhumanism and has several key advocates including computer scientist Ray Kurzweil, philosopher Nick Bostrom and neuroscientist Randal Koene.
The transhumanists’ central hope is to transcend the human condition through scientific and technological progress. They believe mind uploading may allow us to live as long as we want (but not necessarily forever). It might even let us improve ourselves, such as by having simulated brains that run faster and more efficiently than biological ones. It’s a techno-optimist’s dream for the future. But does it have any substance?
The feasibility of mind uploading rests on three core assumptions.
Ray Kurzweil and a host of other ambitious scientists are trying to take major next steps with AI — the revival of the dead. Within three decades, he hopes to create a ‘dad bot’ in the flesh.
One of ray kurzweils wonder machines are already here self assembled nanobots called foglet machines. This could allow for future avatars that people could pilot for daily life.
Colloidal magnetic nanoparticles are candidates for application in biology, medicine and nanomanufac-turing. Understanding how these particles interact collectively in fluids, especially how they assemble and aggregate under external magnetic fields, is critical for high quality, safe, and reliable deployment of these particles. Here, by applying magnetic forces that vary strongly over the same length scale as the colloidal stabilizing force and then varying this colloidal repulsion, we can trigger self-assembly of these nanoparticles into parallel line patterns on the surface of a disk drive medium. Localized within nanometers of the medium surface, this effect is strongly dependent on the ionic properties of the colloidal fluid but at a level too small to cause bulk colloidal aggregation.
Ray Kurzweil is an inventor, thinker, and futurist famous for forecasting the pace of technology and predicting the world of tomorrow. In this video, Kurzweil suggests the blueprint for the master algorithm—or a single, general purpose learning algorithm—is hidden in the brain.
The brain, according to Kurzweil, consists of repeating modules that self-organize into hierarchies that build simple patterns into complex concepts. We don’t have a complete understanding of how this process works yet, but Kurzweil believes that as we study the brain more and reverse engineer what we find, we’ll learn to write the master algorithm.
