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Astronomers Create Largest Ever 3D Map of the Cosmos

Its aim is to help us understand the past and future of the universe.

You may have heard of the Dark Energy Spectroscopic Instrument (DESI) from the Lawrence Berkeley National Laboratory’s Department of Energy. We reported on the project all the way back in 2016 when the team of scientists launched 5,000 small robots into space to help develop the first map of the universe beyond earth.

Then, in 2017, we reported how the project had created a 3D map of our galaxy’s space dust. The map was successful at plotting each individual dust that exists in our galaxy in order to clear up the deep space view and measure the accelerating expansion rate of the universe.

Now, DESI has revealed that it has finally created the largest and most detailed map of the universe ever. As impressive as this achievement is, DESI notes that it’s only 10% done with its five-year mission.

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The project is called the Dark Energy Spectroscopic Instrument (DESI) and it’s run by the Lawrence Berkeley National Laboratory’s Department of Energy.

What is Elon Musk’s Tesla Bot capable of? | Boston Dynamics News | High Tech News

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You are on the PRO Robots channel and in this issue we present you with high-tech news. New personal unmanned flying cars on the ground and in the air, details about Elon Musk’s robot, home robot for engineers, Boston Dynamics news and other bright events from the world of high technology in one issue!

0:00 In this video.
0:21 Volar two-seat flying car.
1:10 Tesla Bot.
1:46 Starlink.
2:18 Tesla.
2:55 Mighty delivery robot.
3:38 InnerSpace unmanned concept car.
4:35 Modular robotic arm with artificial intelligence.
5:30 Japan has developed a method that predicts the flight path of insect pests.
5:50 Boston Dynamics.
6:30 Artist Agnieszka Pilat.
7:14 Everdrone.
7:39 Heavy FB3 cargo drones.
8:12 Swifty semi-autonomous robotic system.
8:55 Unmanned tractor 8R
9:33 Electric robot cab without a steering wheel.
10:04 Smart speakers can be dangerous.

#prorobots #robots #robot #futuretechnologies #robotics.

Artificial Intelligence will Take Over These Jobs in 2022

Robots taking advantage of the newest advances in Artificial Intelligence systems are expected to make a huge dent in the job market of 2022 as workers are wanting higher wages and better working conditions. These robots and AI’s outcompete and outright beat humans in many fields such as translation, self driving, news article reporting and more. It’s exciting to see where the field of Robotics and AI is going in the near future of 2022 predictions.

TIMESTAMPS:
00:00 The Great Surge of 2022
00:53 All the jobs that will be taken over.
04:41 What robots mean for society.
06:22 The Robots have already won.
08:12 Last Words.

#robots #ai #jobs

Bionic Eyes: Developing the Next Generation of Artificial Vision AIDS

A new technology solution that will provide low-power systems for use in bionic eyes, has been jointly developed by academics from the Harbin Institute of Technology in China and Northumbria University.

Working in partnership with a research group led by Professor PingAn Hu from the Harbin Institute, Northumbria’s Professor Richard Fu described their newly developed method for controlling the artificial synaptic devices used in bionic retinas, robots, and visual prostheses, as a “significant breakthrough.”

The team discovered that injecting elements of the soft metal, indium, into a two-dimensional (2D) material called molybdenum disulfide (MoS2), could improve electrical conductivity and reduce power consumption of the optical synapses used in the development of bionic eyes.

15 Things You Should Know About Voyager 1, Mankind’s First Interstellar Spaceship

There a spacecraft so far away in space it has become the first humanmade object to reach interstellar space. It is traveling out there among the stars, far from Earth, far from home. Voyager 1 is set to never return to our star system, let alone Earth. Its mission; to explore the most distant reaches of space.

September 5, 2020, marked 43 since NASA’s Voyager 1 spacecraft launched from Cape Canaveral. In 2012, the probe became the first object to enter an uncharted, never-before-seen region of space; interstellar space. More precisely, on August 25, 2012, at 122 astronomical units, the probe left the so-called heliopause, and so became the first to reach interstellar space.

Although it has made history and has nothing left to prove, the 722 kg robotic probe is still operational today, continuing its extended mission of locating and studying the limits of the solar system, including the Kuiper belt and beyond, as well as exploring immediate interstellar space, until one day, it runs out of fuel and waves back to Earth, one more time.

The Biggest Danger of AI Isn’t Skynet — It’s Human Bias That Should Scare You

Artificial intelligence doesn’t hold a candle to the human capacity for harm.

Over the last few years, there has been a lot of talk about the threat of artificial general intelligence (AGI). An AGI is essentially an artificial superintelligence. It is a system that is able to understand — or learn — any intellectual task that a human can. Experts from seemingly every sector of society have spoken out about these kinds of AI systems, depicting them as Terminator-style robots that will run amok and cause massive death and destruction.

Elon Musk, the SpaceX and Tesla CEO, has frequently railed against the creation of AGI and cast such superintelligent systems in apocalyptic terms. At SXSW in 2018, he called digital superintelligences “the single biggest existential crisis that we face and the most pressing one,” and he said these systems will ultimately be more deadly than a nuclear holocaust. The late Stephen Hawking shared these fears, telling the BBC in 2014 that “the development of full artificial intelligence could spell the end of the human race.”

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Fears of artificial intelligence run amok make for compelling apocalypse narratives, but the real dangers of artificial intelligence come more from humans than machines.

Why a Brazilian robotics expert moved to West Virginia to work on robots

Guilherme Pereira.

“Having robots working without human direction, for several days or weeks or years, is something we are worried about,” Pereira said. “The problem is that for a robot working long-term, say days at a time, the environment will change. Over years, the environment will change even more. In the forest, you will have plants and trees growing, seasonal changes, sometimes snow, sometimes sunshine, sometimes rain. And indoors, furniture gets moved around, people will be moving around, even other robots will present obstacles.

If a robot recognizes a chair and table, it will know it’s in the dining room, for example. If that changes, the robot will have a rough time localizing itself and figuring that out.

Leverage AI to Identify Valuable NFTs

Originally published on Towards AI the World’s Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses.

We’re in the midst of an NFT boom, but that won’t always be the case. Today, NFTs are being flipped quickly — much like house flipping in the lead up to the 2007-08 financial crisis.

Obviously, that doesn’t mean that NFTs are all driven by speculation, just that we need to be cautious and prudent when evaluating their value. Artificial intelligence (AI) is one tool for helping identify and produce valuable art NFTs. Let’s dive into that more here (but see Christian Jensen’s recent article for a broader background on the investment lingo in NFT land).

Computing With Light

There are widely cited forecasts that project accelerating information and communications technology (ICT) energy consumption increases through the 2020’s with a 2018 Nature article estimating that if current trends continue, this will consume more than 20% of electricity demand by 2030. At several industry events I have heard talks that say one of the important limits of data center performance will be the amount of energy consumed. NVIDIA’s latest GPU solutions use 400+W processors and this energy consumption could more than double in future AI processor chips. Solutions that can accelerate important compute functions while consuming less energy will be important to provide more sustainable and economical data centers.

Lightmatter’s Envise chip (shown below) is a general-purpose machine learning accelerator that combines photonics (PIC) and CMOS transistor-based devices (ASIC) into a single compact module. The device uses silicon photonics for high performance AI inference tasks and consumes much less energy than CMOS only solutions and thus helping to reduce the projected power load from data centers.

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Lightmatter has a roadmap for even faster processing using more colors for parallel processing channels with each color acting as a separate virtual computer.

Nick said that in addition to data center applications for Envise he could see the technology being used to enable autonomous electric vehicles that require high performance AI but are constrained by battery power, making it easier to provide compelling range per vehicle charge. In addition to the Envise module, Lightmatter also offers optical interconnect technology that it calls Passage.

Lightmatter is making optical AI processors that can provide fast results with less power consumption than conventional CMOS products. Their compute module combines CMOS logic and memory with optical analog processing units useful for AI inference, 0, natural language processing, financial modelling and ray tracing.