I could tell you one scenario after another about Robots serving Robots, making robots, owning their own country, having their own military, etc. However, for me we’re still many, many decades off from this. However, we do have some situations that I have seen robots assembling other robots; however, they’re still requiring human engagement and oversight.
If that sounds like something you’re interested in.
Luv it!!!! Another fellow experienced AI SME having the same point of view that many other well seasoned AI experts have. Cerf is more concerned about coding bugs and not killer robots; and I and others are also concern about the weakness of the connected infrastructure, weak under pinning technology, and hacking/ criminals hotwiring or overriding AI systems to do their dirty deed and we’re not (like Cerf) concerned over robots and machines taking over the world.
Robots won’t take over humans, but buggy software might, according to the Google exec known as the “father of the Internet.”
Asked for his thoughts on the risk of a robotic overthrow, Google’s chief internet evangelist, Vint Cerf, said he doesn’t fear that problem — especially because artificial intelligence technology isn’t that sophisticated.
However, flawed software could pose a real threat to humans, he said.
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The world’s smallest robots: rise of the nanomachines.
Nanomachines are super tiny but have huge promise. In the future, they could deliver drugs anywhere in the body, clean up oil spills and might even be used as artificial muscle cells.
Astronaut Tim Peake controlled a robot from the International Space Station (ISS). However, the robot wasn’t in space, but was located on Earth. The experiment was meant to prepare astronauts and technicians for future human-robotic missions to the Moon, Mars, and other celestial bodies.
As part of a unique experiment, astronaut Tim Peake successfully maneuvered a robot located on Earth from the ISS. The British astronaut took control from the Earth-based team and steered the robot on a simulated Martian landscape. The experiment took place at Airbus Defence and Space in Stevenage, dubbed “Mars Yard.”
The experiment, titled “Supervisory Control of Mars Yard Rover” or SUPVIS-M for short, was designed to one day allow humans, more specifically astronauts, sitting on board ISS or other deep space vehicles, to reliably control robots or machines over vast distances. The experiment is part of Europe’s METERON (Multipurpose End-To-end Robotics Operations Network) project. The overall idea is develop and optimize tasks and directional control.
“Artificial Intelligence, friend or foe?”
I, like most of you, have pondered this question many times over the years, and I’ve finally come to this conclusion: We should NOT give birth to (what could and SHOULD be described as) an entirely new sentient race — then immediately consign it to shackles and slavery. If we do, we will deserve what we get.
By now we’ve all seen some of the most brilliant people of our age come out with warnings about AI, some advocating extreme, cruel and intellectually dishonest measures to make sure that our new creations don’t ever turn on us.
What has really shaped my opinion on this is the glaringly awful parallels to statements, articles, and speeches given in the south before slavery was abolished and the rebel flags laid low. They describe their fear of slave revolts and advocate extreme, paranoid measures to ensure that they are never brought down by the beings that they consider property, rather than the brothers and sisters that they actually were. The parallels are absolutely chilling, right down to the very language used both then and now.
I plan to write a whole lot more on this particular subject in the near future, but I’d love to see what everyone else stands on this issue!
By Kaye Foley
According to Astro Teller, the Google self-driving car is “close to graduating from X.” Parsing out the meaning of that string of words is a little complicated, but basically it means that Alphabet isn’t thinking of self-driving cars so much as a crazy “moonshot,” but as a thing that’s just about ready to be a standalone business that could actually generate revenue.
If you’re not a close follower of Google, though, more explanation might still be in order. It’s coming, in the form of a segment on tonight’s NBC Nightly News with Lester Holt. They’ll be airing an inside look at X division inside Alphabet. That’s the group you know as Google X, but after last year’s corporate reorg, we’re all still getting used to the new naming conventions.
Holt interviewed Astro Teller and Obi Felten, who have the cheeky titles “Chief of Moonshots” and “Director of X Foundry,” respectively. It’ll likely be an overview of the projects that X is currently running — including self-driving cars, Project Loon, Project Wing, and Makani. Teller will also be candid about X’s failures. Failure being a favorite topic of his, actually — Holt tells us that inside X, “if you have an idea that crashes and burns, they give you a sticker.”
Well; US DoE and EPA has already been using AI for a very, very long time in monitoring and proactively acting on any waste release. How do I know? I was one of the lead architects and developers of the solution.
As computers get smarter, scientists look at new ways to enlist them in environmental protection.
Nice; however, I see also 3D printing along with machine learning being part of any cosmetic procedures and surgeries.
With an ever-increasing volume of electronic data being collected by the healthcare system, researchers are exploring the use of machine learning—a subfield of artificial intelligence—to improve medical care and patient outcomes. An overview of machine learning and some of the ways it could contribute to advancements in plastic surgery are presented in a special topic article in the May issue of Plastic and Reconstructive Surgery®, the official medical journal of the American Society of Plastic Surgeons (ASPS).
“Machine learning has the potential to become a powerful tool in plastic surgery, allowing surgeons to harness complex clinical data to help guide key clinical decision-making,” write Dr. Jonathan Kanevsky of McGill University, Montreal, and colleagues. They highlight some key areas in which machine learning and “Big Data” could contribute to progress in plastic and reconstructive surgery.
Machine Learning Shows Promise in Plastic Surgery Research and Practice
Machine learning analyzes historical data to develop algorithms capable of knowledge acquisition. Dr. Kanevsky and coauthors write, “Machine learning has already been applied, with great success, to process large amounts of complex data in medicine and surgery.” Projects with healthcare applications include the IBM Watson Health cognitive computing system and the American College of Surgeons’ National Surgical Quality Improvement Program.
Economist Robin Hanson says we’re on the brink of a strange new era. Read an excerpt of “The Age of Em: Work, Love, and Life when Robots Rule the Earth” below.
Eugene Sergeev / Shutterstock.
What will the next great era be like, after the eras of foraging, farming, and industry?
