Many people think that mathematics is a human invention. To this way of thinking, mathematics is like a language: it may describe real things in the world, but it doesn’t ‘exist’ outside the minds of the people who use it.
The idea of artificial intelligence overthrowing humankind has been talked about for many decades, and in January 2021, scientists delivered their verdict on whether we’d be able to control a high-level computer super-intelligence. The answer? Almost.
The idea of artificial intelligence overthrowing humankind has been talked about for many decades, and in January 2021, scientists delivered their verdict on whether we’d be able to control a high-level computer super-intelligence. The answer? Almost definitely not.
The catch is that controlling a super-intelligence far beyond human comprehension would require a simulation of that super-intelligence which we can analyze. But if we’re unable to comprehend it, it’s impossible to create such a simulation.
Rules such as ‘cause no harm to humans’ can’t be set if we don’t understand the kind of scenarios that an AI is going to come up with, suggest the authors of the 2021 paper. Once a computer system is working on a level above the scope of our programmers, we can no longer set limits.
I am a huge fan of reading. So much so that I’m beginning to think it’s having a negative impact on my social life, but we’ll save that for another time… The point is that I read a LOT. And for the past seven years, I’ve been stuck on one genre: Science Fiction. From space operas and apocalyptic disasters, to robot revolts and galaxy-spanning quests — I’m down for it all.
The best sci fi authors can n o t only see how innovation might progress, but how humanity might evolve as a result. For a genre so heavily focused on science and technology, it’s surprisingly human.
So I get really excited when I see a headline like Meet Altos Labs, Silicon Valley’s Latest Wild Bet on Living Forever. It makes me feel like I’m living in the future. The rate of scientific advancement over the past 50 years has been increasingly mind boggling and it’s impossible to keep up with all the discoveries. First CRISPR, then private space travel, now immortality? It’s insane. Completely terrifying. And I love it.
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You are on the PRO Robots channel and in this video we will talk about artificial intelligence. Repeating brain structure, mutual understanding and mutual assistance, self-learning and rethinking of biological life forms, replacing people in various jobs and cheating. What have neural networks learned lately? All new skills and superpowers of artificial intelligence-based systems in one video!
0:00 In this video.
0:26 Isomorphic Labs.
1:14 Artificial intelligence trains robots.
2:01 MIT researchers’ algorithm teaches robots social skills.
2:45 AI adopts brain structure.
3:28 Revealing cause and effect relationships.
4:40 Miami Herald replaces fired journalist with bot.
5:26 Nvidia unveiled a neural network that creates animated 3D face models based on voice.
5:55 Sber presented code generation model based on ruGPT-3 neural network.
6:50 ruDALL-E multimodal neural network.
7:16 Cristofari Neo supercomputer for neural network training.
#prorobots #robots #robot #future technologies #robotics.
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Reading the time on an analogue clock is surprisingly difficult for computers, but artificial intelligence can now do so accurately using a method that had previously proved tricky to deploy.
Computer vision has long been able to read the time from digital clocks by simply looking at the numbers on the screen. But analogue clocks are much more challenging because of factors including variation in their design and the way shadows and reflections can obscure the hands.
Microsoft’s Tutel library, now available in open source, optimizes the training of mixture of experts machine learning systems.
It could replace cartilage in knees and even help create soft robots 🤯
Is it a bird? Is it a plane? No, it’s ‘super jelly’ — a bizarre new material that can survive being run over by a car even though it’s composed of 80 per cent water.
The ‘glass-like hydrogel’ may look and feel like a squishy jelly, but when compressed it acts like shatterproof glass, its University of Cambridge developers said.
It is formed using a network of polymers held together by a series of reversible chemical interactions that can be tailored to control the gel’s mechanical properties.
I continue to introduce you to a series of articles on the nature of human intelligence and the future of artificial intelligence systems. In the previous article “Artificial intelligence vs neurophysiology: Why the difference matters” we found out that the basis of the work of any biological nervous system is not a computational function (like in a computer), but a reflex or a prepared answer.
But how then did our intelligence come about? How did a biological system repeating pre-prepared reactions become a powerful creative machine?
In this article, we will answer this question in the language of facts. Creating our intelligence, nature has found a simple and at the same time ingenious solution, which is not devoid of a great mystery, which we will also touch.
Text-to-photorealism.
Nvidia deep learning technologies continue to do wonderful and weird things. Just a few weeks ago we saw how the company can use AI to automatically match voice lines to 3D animated faces. This cool kind of tech that can help people create great things with ease, or in the case of Nvidia’s latest unveiling, potentially horrible things, but still with ease.
We first saw Nvidia’s GauGAN a few years back. It was demonstrated to turn basic doodles into photorealistic images with a click of a few buttons. It’s pretty neat stuff, and definitely worth playing with. Now GuaGAN2 is out and it doesn’t even need your sketches to make highly detailed landscape images.
