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Category: robotics/AI – Page 1,392

Addiction, crime and data breaches: The metaverse could become a wild west if we’re not careful

But with such a rapid expansion into this new virtual world, will it be safe, regulated and, is it something we should fear or accept with open arms?

We talk to David Reid, a Professor of AI and spatial computing at Liverpool Hope University to see what to expect from the future of the metaverse.

There’s a few definitions. You can think of it from a technological viewpoint, where it’s simply the successor of the internet. Computers once took up big rooms, but they’ve shrunk until we got things like pocket-sized smartphones that you constantly interact with. The metaverse takes this a step further, making the actual environment you interact with virtual, removing the interface of computers completely.

10 Best AI Art Generators

Artificial intelligence (AI) is not only affecting industries like business and healthcare. It is also playing an increasing role in the creative industries by ushering in a new era of AI-generated art. AI technologies and tools are often widely accessible to anyone, which is helping to create an entirely new generation of artists. We often […].

Robot Dogs and Drones 3D Mapping ‘Ghost Ships’ with Laser-based Sensors

Sounds like a sci-fi movie right? But it’s not. Naval Surface Warfare Center, Philadelphia Division is testing laser-based sensors on robot dogs or drones as a way to perform battle damage assessment, repair, installation, and modernization – all remotely.

NSWCPD’s Advanced Data Acquisition Prototyping Technology Virtual Environments (ADAPT.VE) engineers and scientists are testing new applications for light detection and ranging (LiDAR) to build 3D ship models aboard the ‘mothballed’ fleet of decommissioned ships at the Philadelphia Navy Yard.

EP87 Joscha Bach on Theories of Consciousness

https://www.jimruttshow.com/joscha-bach-2/

Joscha Bach and Jim start by talking about the difference between mind & brain, and the body & environment’s connection to mind & emotions. Joscha then offers his views on some popular consciousness theories & thinkers: consciousness as frequency, Global Workspace Theory, Integrated Information Theory, Functionalism, Daniel Dennet, and Roger Penrose. While covering these theories & thinkers they talk about GPT-3, learning & memory, what it means to understand, intuitive vs analytical intelligence, dreaming vs reality, attention & agents, psychedelics, magical phenomena, areas worth exploring to improve AI, and much more.

The Worst AI Advice You’ll Ever Hear

Facebook (now Meta) popularized the Silicon Valley ethos with the saying “Move fast and break things”. This approach might have worked when disrupting the social media business, but it’s causing all sorts of problems for them as well as other major AI players. Breaking things and moving fast might be the reason why so many AI projects are failing. According to an MIT study, over 85% of AI projects fail to deliver their stated objectives, and 70% of data science projects never make it to fruition. Clearly moving fast and breaking things doesn’t work if you’re not getting closer to success.

There’s a difference between Iterating to Success and Breaking Things.

The oft-cited Silicon Valley ethos of “Move fast and break things” isn’t working that well for AI.

Machine learning algorithm predicts how to get the most out of electric vehicle batteries

Researchers have developed a machine learning algorithm that could help reduce charging times and prolong battery life in electric vehicles by predicting how different driving patterns affect battery performance, improving safety and reliability.

The researchers, from the University of Cambridge, say their algorithm could help drivers, manufacturers and businesses get the most out of the batteries that power by suggesting routes and driving patterns that minimize battery degradation and charging times.

The team developed a non-invasive way to probe batteries and get a holistic view of battery health. These results were then fed into a machine learning algorithm that can predict how different driving patterns will affect the future health of the battery.

A tiny, magnetically actuated gearbox that gives microrobots more power

A team of researchers at the Max Planck Institute for Intelligent Systems, working with a pair of colleagues from the Harbin Institute of Technology, has developed a tiny actuated gearbox that can be used to give very tiny robots more power. In their paper published in the journal Science Robotics, the group describes how their gearbox works and the power improvements observed in several types of tiny robots.

Over the past several years, scientists have been working toward the development of tiny robots that can be injected into the to carry out medical procedures. The hope is that such robots can be sent to find and destroy , for example. Such tiny robots are too small to carry their own power plant; thus, they must be manipulated using an . Unfortunately, as the robots grow ever tinier, their power diminishes as they have too little mass. In this new effort, the researchers have found a way to increase the power of the tiny robots using a tiny gearbox that helps them become stronger.

The gearbox comes with a magnet on its end to harness the power in a magnetic field via the gears in the box. And the gearbox is able to magnify the power of a using clever features including elastic components and mechanical linkages.

Watch how an AI system learns to play soccer from scratch

A team of researchers at Google’s Deep Mind London project, has taught animated players how to play a realistic version of soccer on a computer screen. In their paper published in the journal Science Robotics, the group describes teaching the animated players to play as solo players and also in teams.

For several years, engineers have been working diligently to create robots capable of playing . Such work has resulted in competition between various groups to see who can devise the best robot players. And that has led to the creation of RoboCup, which has several leagues, both in the real world and simulated. In this new effort, the researchers applied a new degree of artificial intelligence programming and learning networks to teach simulated robots how to play soccer without ever giving them the rules.

The idea behind the new approach is to get simulated soccer players to learn to play the game the same way humans do—by watching how others do it. It also involved starting from pretty much ground zero. The simulated players first had to learn how to walk, then to run and kick a ball around. At each new level, the AI systems were shown video of real-world , which allowed them to learn not just the basics of soccer playing, but to mimic the way move as they engage in high level sporting events.