Elon Musk: Humans Need to Merge With Machines to Remain Relevant

Elon Musk says humans need to merge with machines to remain relevant

  • Telsa and SpaceX founder Elon Musk has a suggestion for humans who want to stay relevant in a future of artificial intelligence: merge with the machines.
  • “Over time I think we will probably see a closer merger of biological intelligence and digital intelligence,” Musk said at the World Government Summit in Dubai, according to CNBC.
  • “It’s mostly about bandwidth, the speed of the connection between your brain and the digital version of yourself, particularly output.”
  • Humans are significantly slower than computers when it comes to communication, and face becoming useless as AI grows more prominent, Musk said.
  • “Some high bandwidth interface to the brain will be something that helps achieve a symbiosis between human and machine intelligence and maybe solves the control problem and the usefulness problem,” he said.

Elon Musk has a suggestion for humans who want to stay relevant in a future of artificial intelligence: merge with the machines
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Donald Clark Plan B

Brains - 10 deep flaws and why AI may be the fix #Ai #edtech #LT17uk

  • Finally have enough time to attend, read, post, listen, watch and speak on anything I want to.
  • Collaborative AI is learning from shared experience – collective intelligence is and it’s terrifying
  • Our brains are networks the most complex networks we know of, and artificial intelligence uses that same (or similar) networked power to interact with our brains.
  • 6. Brains can’t upload and download Brains can’t upload and download.
  • Learning; deep learning, fast learning and machine learning is progressing fast and promises to deliver an alternative world of learnt skills on an unimaginable scale.

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Artificial Intelligence and the Future of Warfare

New Report: Artificial Intelligence and the Future of Warfare

  • The global defence industry is falling behind its commercial counterparts in terms of technology innovation, with the gap only widening as the best and brightest engineers move to the commercial sphere.
  • The rapid development of commercial autonomous systems could normalize the acceptance of autonomous systems for the military and the public, and this could encourage state militaries to fund the development of such systems at a level that better matches investment in manned systems.
  • The impact of the rapid expansion of the commercial market on autonomous systems development cannot be overstated.
  • Military autonomous systems development has been slow and incremental at best, and pales in comparison with the advances made in commercial autonomous systems such as drones, and especially in driverless cars.
  • A metaphorical arms race is in progress in the commercial sphere of autonomous systems development, and this shift in R&D effort and expenditure from military to commercial settings is problematic.

The impact of the rapid expansion of the commercial market on autonomous systems development cannot be overstated.
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Episode 54: Artificial Intelligence: The Apex Technology of the Information Age

#AI is a hot topic at #CES2017. $GS Research explores the technology’s potential:

  • The views expressed in this podcast are not necessarily those of Goldman Sachs, and Goldman Sachs is not providing any financial, economic, legal, accounting or tax advice or recommendations in this podcast.
  • Richard Ramsden of Goldman Sachs Research shares how the US financial industry is affected by tightening monetary policy and the presidential transition on our podcast, Exchanges at Goldman Sachs .
  • Heath Terry of Goldman Sachs Research discusses the technology’s most promising uses, the industries set to take advantage and how widespread adoption might impact the labor market.
  • The information contained in this podcast does not constitute research or a recommendation from any Goldman Sachs entity to the listener.
  • , the receipt of this podcast by any listener is not to be taken as constituting the giving of investment advice by Goldman Sachs to that listener, nor to constitute such person a client of any Goldman Sachs entity.

27 DEC 2016 – Artificial intelligence – the science of teaching computers to think like humans – could reshape the global economy by making both capital investments and labor costs more efficient. That would provide a meaningful boost to productivity growth, which has stagnated since the internet boom of the 1990s. Heath Terry of Goldman Sachs Research discusses the technology’s most promising uses, the industries set to take advantage and how widespread adoption might impact the labor market.
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Future thinking: will artificial intelligence overtake humans? – tech podcast

Future thinking: will artificial intelligence overtake humans? – tech podcast

  • Listen to more Guardian podcasts including Football Weekly, the Story and Science Weekly
  • In this episode of Chips with Everything, we ponder the ever-existential scenario of AI beings overtaking humans as the most intelligent, resourceful and proficient entities on Earth.
  • To discuss this hypothetical, we consult with Kevin Warwick , professor of cybernetics at Coventry University, and Dr Kevin Curran , computer science reader at Ulster University.
  • © 2017 Guardian News and Media Limited or its affiliated companies.
  • Follow us on Twitter: @mattshore , @leighalexander and @guardianaudio

With technology developing at an increasingly rapid pace, as we head into 2017, we ask: will AI machines surpass the human race?
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Spoiler Alert: Artificial Intelligence Can Predict How Scenes Will Play Out

Spoiler alert: Artificial Intelligence can predict how scenes will play out

  • A new artificial intelligence system can take still images and generate short videos that simulate what happens next similar to how humans can visually imagine how a scene will evolve, according to a new study.
  • The system is also able to learn unsupervised, the researchers said.
  • When the researchers asked workers on Amazon’s Mechanical Turk crowdsourcing platform to pick which videos were real, the users picked the machine-generated videos over genuine ones 20 percent of the time, the researchers said.
  • “Compared to GANs, VPN are easier to train, but take much longer to generate a video,” he told Live Science.
  • But the researchers said that the approach could eventually help robots and self-driving cars navigate dynamic environments and interact with humans, or let Facebook automatically tag videos with labels describing what is happening.

A new AI system generates short videos that are similar to how humans can visually imagine how a scene will evolve
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MIT’s AI figured out how humans recognize faces

#MIT's #AI figured out how humans recognize faces ▷

  • MIT’s AI figured out how humans recognize faces
  • In layman’s terms, this means the system, which was looking for invariance (or non-difference) between faces, was able to do so regardless of whether a face was flipped, as long as it was rotated in the same angle.
  • The Atlas robot is getting better at chasing you down
  • The as-yet-unnamed system is a computational model of how the human brain recognizes faces, and was trained to identify particular visages from a battery of sample images it was fed.
  • Understanding how we recognize people could help facial recognition systems get significantly better and more accurate, which has vast applications in tech.

It appears machines may already be catching up to humans, at least in the world of computational biology. A team of researchers at the MIT-based Center for Brai…
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