Lifeboat Foundation: Safeguarding Humanity
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Category: robotics/AI – Page 2,293

The world’s most populous nation suffers from a shortage of medical practitioners, with the World Health Organisation estimating there are only 1.5 physicians available for every 1,000 people, compared with 2.4 in the US and 2.8 in the UK. That has led to deteriorating work conditions for doctors and radiologists who constantly work overtime to process huge amounts of patient data. As a consequence, the error rate is high.

Alibaba Health unveiled this week its first artificial intelligence service for disease diagnosis, offering hope that advanced technology will alleviate the workload of mainland Chinese physicians in a nation suffering from an acute shortage of doctors.

The AI solution, called Doctor You, can be used for medical image diagnosis of CT scans to identify inflammatory cells in human organs, which can be an early indicator of cancer.

“It will soon serve as an assistant to physicians at a number of hospitals in the country,” said Ke Yan, a vice president with Ali Health, adding that the technology could lower error rates and improve efficiency.

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AI is being used for much more than many realize. In fact, particle physicists are currently pushing the limits of our understanding of the universe with the help of these technologies.

Many might associate current artificial intelligence (AI) abilities with advanced gameplay, medical developments, and even driving. But AI is already reaching far beyond even these realms. In fact, AI is now helping particle physicists to discover new subatomic particles.

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The evolution of communication throughout history has largely been about taming two dimensions: time and distance. That was as true of spoken language as it was of the telegraph or email. Humans have been so successful at taming these factors that, today, neither time nor distance are meaningful bottlenecks to transmitting your thoughts.

In fact, if you want to tell a friend living in a different hemisphere what you just ate for lunch, the most time-consuming part of the process is physically typing or tapping the message. Communication these days can be so fast that it’s fair to consider it “instantaneous,” though technically it’s not quite there yet. Because with all of the messaging we do in a day, all of that typing and tapping adds up.

We still rely heavily on fingers and thumbs to get the message across, but for how long will this be the case? It’s too soon for anything but speculation, but research groups and corporations are working on new technologies that might allow us to share our ideas using thoughts alone. Flying cars, walking-talking robots, and now sci-fi telepathy? It’s a fascinating time to be alive.

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My new article from Vice Motherboard on liberty and privacy. This is one of my most ambitious philosophical works yet: https://motherboard.vice.com/en_us/article/bjx5y5/liberty-mi…th-privacy #Libertarian

If tech is surveilling us constantly, we need the ability to use it to watch the watchers.

Zoltan Istvan is a futurist, transhumanist, author of The Transhumanist Wager, and a Libertarian candidate for California Governor.

The constant onslaught of new technology is making our lives more public and trackable than ever, which understandably scares a lot of people. Part of the dilemma is how we interpret the right to privacy using centuries-old ideals handed down to us by our forbearers. I think the 21st century idea of privacy—like so many other taken-for-granted concepts—may need a revamp.

When James Madison wrote the Fourth Amendment—which helped legally establish US privacy ideals and protection from unreasonable search and seizure—he surely wasn’t imagining Elon Musk’s neural lace, artificial intelligence, the internet, or virtual reality. Madison wanted to make sure government couldn’t antagonize its citizens and overstep its governmental authority, as monarchies and the Church had done for centuries in Europe.

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  • Scientists are eager to begin using humanoid robots as a means to test medical technology that could help us better understand how muscles and tendons work.
  • By overlaying lab-engineered tissue onto mechanical robot skeletons, scientists would essentially be creating part-human, part-robot test subjects.

With all the advances being made in robotics in terms of capabilities, it was only a matter of time before researchers took it one step further, making robots look more human. That’s what a pair of biomedical researchers at the University of Oxford are hoping to do, anyway.

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Self-driving cars are pretty cool. Really, who wouldn’t want to spend their daily commute surfing social media, chatting with friends or finishing the Netflix series they were watching at 4 am the night before? It all sounds virtually utopian. But what if there is a dark side to self-driving cars? What if self-driving cars kill the jobs? ALL the jobs?

In this video series, the Galactic Public Archives takes bite-sized looks at a variety of terms, technologies, and ideas that are likely to be prominent in the future. Terms are regularly changing and being redefined with the passing of time. With constant breakthroughs and the development of new technology and other resources, we seek to define what these things are and how they will impact our future.

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Teaches artificial intelligence superhuman relational reasoning.

A key challenge in developing artificial intelligence systems with the flexibility and efficiency of human cognition is giving them a similar ability — to reason about entities and their relations from unstructured data. Solving this would allow these systems to generalize to new combinations of entities, making infinite use of finite means.

Modern deep learning methods have made tremendous progress solving problems from unstructured data, but they tend to do so without explicitly considering the relations between objects.

In two new papers, we explore the ability for deep neural networks to perform complicated relational reasoning with unstructured data. In the first paper — A simple neural network module for relational reasoning — we describe a Relation Network (RN) and show that it can perform at superhuman levels on a challenging task. While in the second paper — Visual Interaction Networks — we describe a general purpose model that can predict the future state of a physical object based purely on visual observations.

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A Kiwi company developing artificial intelligence has delivered its latest digital human, called Rachel.

Rachel can see, hear and respond to you.

She is an avatar created by two-time Oscar winner Mark Sagar, who worked on the blockbuster movie of the same name.

Mr Sagar, of Auckland-based company Soul Machines, says his aim is to make man socialise with machine, by putting a human face on artificial intelligence.

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