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Category: robotics/AI – Page 1462

Am I talking to a software robot or a human? It’s a question that many of us will have posed at some point when we are online interacting with a web interface chatbot with its chirpy ‘Hi! Can I help?’ message flags and discussion box.

Some of us deliberately try and second guess these bots in order to be able to work out whether we are talking to a machine or a person. We do this because we somehow hope that this knowledge will enable us to assess more accurately how much help we are likely to get — and so, perhaps, get an idea of how much effort we should put into explaining our customer issues or requests.

Right now, it is not necessarily that difficult to know if you are speaking to an Artificial Intelligence (AI) engine. The Turing test was of course established to rate the point at which people can’t tell the difference between a human and a machine. The AI software robot ‘bots’ that have passed the Turing test so far have been given quirky personality traits to mask the challenges that even the best AI engines have when dealing with human conversational challenges.

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With the proliferation of AI programs into the strategy gaming spaces, should human players bother competing at all? In a world where artificial intelligence (AI) learns from its mistakes and progresses with every match, it’s hard to tell. A computer can learn from its mistakes in an instant and play millions of hands in seconds.

While it might take a human a lifetime to master the game of poker, an AI could become unbeatable overnight. This reality has raised a lot of questions in the world of strategy games.

AI is an ever-evolving field that can be difficult to understand. One of the most common ways for non-techies to get introduced to AI is through online poker, where humans are pitted against artificial intelligence in a game of cards. Which raises the question: when does one become indistinguishable from the other?

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Becoming Immortal through Mind Uploading sounds like something that’ll only be possible around the 2100’s. But amazingly, a group of scientists at Nectome are working on giving us the ability to live forever inside of a computer simulation by the end of this decade for around 10000$.

Ray Kurzweil, director of engineering at Google, has long predicted that people will be able to upload their entire brains to computers and become digitally immortal by 2045. Kurzweil made this claim for many years, e.g. during his speech in 2013 at the Global Futures 2045 International Congress in New York, which claims to subscribe to a similar set of beliefs. Mind uploading has also been advocated by a number of researchers in neuroscience and artificial intelligence, such as the late Marvin Minsky.
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TIMESTAMPS:
00:00 The Future is near.
01:46 How this procedure works.
03:31 The development of this technology.
04:24 Is this actually possible to achieve?
06:58 The ethical concerns.
07:40 Last Words.
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#longevity #minduploading #bci

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*To date, most studies have focused on understanding how much carbon is stored above ground (in trees and other plants, for example). This research, however, revealed that when you look below ground and get into deeper levels of soil, there are massive deposits of carbon.*

Canada’s first-ever national carbon map reveals the location of billions — yes, billions — of tonnes of carbon stored in ecosystems across the country. This data, and how we use it, could alter the pace of climate change.

Over the span of two years, researchers fed data from existing soil samples collected from across the country, as well as long-term satellite data and topographic and climate variables, into a machine-learning algorithm. Researchers were able to estimate carbon at a 250-metre spatial resolution in different carbon pools (soils and plant biomass), as well as at multiple depths (1−2 metres).

Tens of thousands of field measurements were fed into a machine-learning algorithm to train satellite observations, including space-based laser scanning data, to estimate carbon stocks in plant biomass and soils across Canada. The resulting national carbon map will have a huge impact on the way conservation activities and policies are approached to prioritize nature-based climate solutions.

Continue reading “Carbon Map” | >

Universal Basic Income is soon going to become a necessity due to Robots becoming exponentially more capable of doing jobs which previously could only be performed by humans. This has become especially apparent with Elon Musk’s new venture in the form of Tesla Robot Optimus which is aimed to be shown off in 2022. Whether or not Elon Musk’s predictions will turn out to be true is yet to be seen, but it’s clear that we will need some kind of Passive income in the form of UBI.

In this video I will show you how you can use that knowledge to prepare yourself for a world with Universal Basic Income, how to make more money than anyone else and even double your income in the end.
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If you enjoyed this video, please consider rating this video and subscribing to our channel for more frequent uploads. Thank you! smile
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TIMESTAMPS:
00:00 How Robots will change Society.
01:32 What is happening right now.
03:04 The Future of Employment.
05:05 Example of how this is happening.
06:47 The Negatives.
07:38 Last Words.
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#robots #ubi #jobs

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On Wednesday, November 10 at 9:03 p.m. EST, 2:03 UTC on November 11 SpaceX and NASA launched Dragon’s third long-duration operational crew mission (Crew-3) to the International Space Station from historic Launch Complex 39A (LC-39A) at NASA’s Kennedy Space Center in Florida. Following stage separation, Falcon 9’s first stage landed on the “A Shortfall of Gravitas” droneship.

On Thursday, November 11 at approximately 7:10 p.m. EST, 00:10 UTC on November 12 Dragon will autonomously dock with the space station. Follow Dragon and the Crew-3 astronauts during their flight to the International Space Station at spacex.com/launches.

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Crew-3 Mission | Launch: https://youtu.be/WZvtrnFItNs.
Crew-3 Mission | Coast: https://youtu.be/aknndyovSKs.
Crew-3 Mission | Approach & Docking: https://youtu.be/dZ5YAPZ8i3s

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A long-term fallout of the Covid crisis has been the rise of the contactless enterprise, in which customers, and likely employees, interact with systems to get what they need or request. This means a pronounced role for artificial intelligence and machine learning, or conversational AI, which add the intelligence needed to deliver superior customer or employee experience.

Deloitte analysts recently analyzed patents in the area of conversational AI to assess the direction of the technology and the market — and the technology has been fast developing. “Rapid adoption of conversational AI will likely be underpinned by innovations in the various steps of chatbot development that have the potential to hasten the creation and training of chatbots and enable them to efficiently handle complex requests — with a personal touch,” the analyst team, led by Deloitte’s Sherry Comes, observes.

Conversational AI is a ground-breaking application for AI, agrees Chris Hausler, director of data science for Zendesk. “Organizations saw a massive 81% increase in customer interactions with automated bots last year, and no doubt these will continue to be key to delivering great experiences.”

Princeton researchers have invented bubble casting, a new way to make soft robots using “fancy balloons” that change shape in predictable ways when inflated with air.

The new system involves injecting bubbles into a liquid polymer, letting the material solidify and inflating the resulting device to make it bend and move. The researchers used this approach to design and create hands that grip, a fishtail that flaps and slinky-like coils that retrieve a ball. They hope that their simple and versatile method, published Nov. 10 in the journal Nature, will accelerate the development of new types of soft robots.

Traditional rigid robots have multiple uses, such as in manufacturing cars. “But they will not be able to hold your hands and allow you to move somewhere without breaking your wrist,” said Pierre-Thomas Brun, an assistant professor of chemical and and the lead researcher on the study. “They’re not naturally geared to interact with the soft stuff, like humans or tomatoes.”

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