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Category: robotics/AI – Page 1385

What if Elon Musk told you that you could store your memories as a backup and then download them into a robot body. Sounds like science fiction to you, Well believe it or not it’s true and he has already launched a company called Neuralink to pursue this futuristic goal.

But how does it work and how exactly is elon musk going to pull this one-off. Well, we’ll answer these questions and take a deeper look into Neuralink and how it could change humanity forever.

The Neuralink is a small brain implant that will generate and manipulate neurons in your brain to cure health problems like addiction, blindness, depression, and other various brain-related problems.

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Daniel Ek, CEO of popular commercial music streaming platform Spotify, invests over $133 million in artificial intelligence-powered defense technology startup Helsing. Daniel made the investment through his funding company named Prima Materia during the Series A funding round of Helsing.

Additionally, Daniel Ek will join Helsing’s board of directors as a part of the investment. Helsing plans to use the newly raised funds to integrate artificial intelligence technology in military equipment and weapons to expand their capabilities.

According to the company, the developed AI-powered equipment will first be made available to French, German, and British militaries. Helsing aims to provide an information advantage to armies of democratic countries with the use of artificial intelligence.

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Synthesia, a startup using AI to create synthetic videos, is walking a fine, but thus far prosperous, line between being creepy and being pretty freakin’ cool.

Today, it announced the close of a $50 million Series B funding round led by Kleiner Perkins, with participation from GV and existing investors Firstmark Capital, LDV Capital, Seedcamp and MMC Ventures.

Synthesia allows anyone to turn text or a slide deck presentation into a video, complete with a talking avatar. Customers can leverage existing avatars, created from the performance of actors, or create their own in minutes by uploading some video. Users also can upload a recording of their voice, which can be transformed to say just about anything under the sun.

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The DeepMind team has made probably the most ambitious attempt yet to deploy AI to calculate electron density, the end result of DFT calculations. “It’s sort of the ideal problem for machine learning: you know the answer, but not the formula you want to apply,” says Aron Cohen, a theoretical chemist who has long worked on DFT and who is now at DeepMind.

A team led by scientists at the London-based artificial-intelligence company DeepMind has developed a machine-learning model that suggests a molecule’s characteristics by predicting the distribution of electrons within it. The approach, described in the 10 December issue of Science1, can calculate the properties of some molecules more accurately than existing techniques.

“To make it as accurate as they have done is a feat,” says Anatole von Lilienfeld, a materials scientist at the University of Vienna.

The paper is “a solid piece of work”, says Katarzyna Pernal, a computational chemist at Lodz University of Technology in Poland. But she adds that the machine-learning model has a long way to go before it can be useful for computational chemists.

Continue reading “DeepMind AI tackles one of chemistry’s most valuable techniques” | >

I wonder how many iterations of “kinematic reproduction” would result in sentience.

Artificial Intelligence has made a landmark achievement by creating robots that can reproduce. US scientists who created the first living robots claim they can now reproduce on their own. Scientists now claim the discovery is a new form of biological reproduction that was not known to science yet. Experts say the parent robot and its babies, called Xenobots, are entirely biological.

#Xenobots. #LivingRobots. #ArtificialIntelligence.

Continue reading “Meet Xenobots 3.0 — World’s First Living Robots, Made of Frog Cells, That Can Reproduce” | >

According to a newly released survey from nonprofit technical organization IEEE, about one in five respondents say AI and machine learning (21%), cloud computing (20%), and 5G (17%) will be the most important technologies next year. The study examines the most important technologies in 2022, the industries expected to be most impacted by technology in the year ahead, and anticipated technology trends through the next decade.

What industries are expected to be most impacted by technology in the year ahead? Technology leaders surveyed cited manufacturing (25%), financial services (19%), health care (16%), and energy (13%) as industries poised for major disruption.

Regarding the key technology trends to expect through the next decade, an overwhelming majority (95%) agree — including 66% who strongly agree — that AI will drive the majority of innovation across nearly every industry sector in the next one to five years. Furthermore, 81% agree that, in the next five years, one-quarter of what they do will be enhanced by robots, and 77% agree that, in the same timeframe, robots will be deployed across their organization to enhance nearly every business function, from sales and human resources to marketing and IT. A majority of respondents agree (78%) that in the next 10 years, half or more of what they do will be enhanced by robots.

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What’s needed instead is something more like the engineering that goes into a race car, where the initial design is as perfect as the engineers know how to make it upfront, but every few laps during a race, they fine-tune it further for the specific conditions on the track that day, Venne said. His inspiration for a solution that is less labor-intensive than car racing also comes from the world of automobiles — specifically self-driving cars.

In addition to knowing the basic rules of the road, a self-driving car needs to be able to adapt to the unexpected, such as swerving to avoid hitting the squirrel crossing the road ahead, Venne said. “It occurred to me that if we’re doing this with cars, we should be able to do the same with the technology that drives the mechanical side of the building.”

BrainBox AI focuses primarily on controlling the heating, ventilation, and air conditioning (HVAC) systems within a building, which accounts for the majority of the energy consumption in most buildings, Venne said. A next-level goal is to get multiple neighboring buildings in a city working in tandem to produce better results, like helping utilities balance the consumption of electricity during periods of peak demand. A pilot project based on that concept won a Tech for Our Planet challenge at the recently concluded COP26 United Nations conference on controlling climate change.

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From self-healing robots to reconfigurable electronic circuits, the applications of liquid metal are only limited by the imaginations of the scientists working with them. Let’s take a look at some of the latest revolutions, discoveries, and innovations in this material.

2D morphing metal

In 2017, scientists at the University of Sussex and Swansea University invented a way to morph liquid metal into 2D shapes using an electrical charge. Though still in the early stages of development, this team’s research could open up new possibilities in soft robotics, smart electronics, computer graphics, and flexible displays.

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IBM has announced a new type of Simulation Software which is meant to train Artificial Intelligence Robots interact with the real environment in a rapid and cost effective manner. This type of AI Model Training is potentially going to be the future of training going forward.
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TIMESTAMPS:
00:00 A playground for Robots.
02:10 How these Virtual Worlds are made.
05:25 How Simulations improve Artificial Intelligence.
09:06 Last Words.
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#ai #simulation #elonmusk

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