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Category: robotics/AI – Page 1,412

A team of researchers at the Human Brain Project (HBP) are working with Intel to advance neuromorphic technology and bring AI closer to the energy efficiency of the human brain. Neuromorphic technology is more energy efficient for large deep learning networks when compared to other AI systems.

Researchers in the HBP and Intel carried out a set of experiments demonstrating this efficiency. The experiments involved a new Intel chip that relies on neurons similar to those in the human brain. This was the first time that such results were demonstrated.

The research was published in Nature Machine Intelligence.

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Is this true?

The Perseverance rover has been on Mars for two weeks and has now spun its wheels and began its maiden trek over the red planet’s surface. According to new images transmitted to Earth by the one-ton robot on Friday, the voyage was a quick one.

Engineers have worked tirelessly to get the vehicle and its numerous equipment up and operating, including instruments and a robotic arm. Perseverance’s mission is to look for indications of alien life in the Jezero crater, which is located near the equator. This will take roughly 15 kilometers throughout the following Martian year (approximately two Earth years).

Scientists want to gain access to a series of rock formations in the crater that might provide traces of ancient biological activity. According to satellite images, one of them appears to be a delta, a structure consisting of silt and sand pushed up by a river as it reaches a larger body of water. In Jezero’s case, this greater mass was most likely a crater-wide lake that existed billions of years ago. However, Perseverance must first undertake an experiment before they can begin.

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Men like Zuckerberg and Musk are the subject of fascination. Their character, their genius, their flaws — all are treated to feverish scrutiny. Since Musk’s bid for Twitter, there has been a predictable flurry of speculation: does he know what he’s doing? Is he a troll or a revolutionary? Will he improve conditions of free speech? What, if anything, will he do about online harassment and extremism?

Though valuable and interesting, it is possible that these kinds of questions obscure the deeper issue, or at least the longer-term one. At root, the big question for the future of powerful technologies is this: whether they are ultimately economic entities which should be governed according to market principles, or whether they are in fact political in nature, and so should be governed by democratic norms and principles. In the long run, the answer we provide to this question will significantly affect the course of democracy around the world — more, in any event, than whether Musk himself understands the concept of “free speech absolutism.”

Many other advanced democracies are tacking toward the political/democratic option. The UK is considering a landmark Online Safety Bill, which will place strict duties on social media platforms. Off the back of the General Data Protection Regulation, the EU is readying a swathe of new measures — an Artificial Intelligence Act, a Digital Services Act, a Digital Markets Act — all of which will curb the power of tech firms.

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For the first time TU Graz’s Institute of Theoretical Computer Science and Intel Labs demonstrated experimentally that a large neural network can process sequences such as sentences while consuming four to sixteen times less energy while running on neuromorphic hardware than non-neuromorphic hardware. The new research based on Intel Labs’ Loihi neuromorphic research chip that draws on insights from neuroscience to create chips that function similar to those in the biological brain.

The research was funded by The Human Brain Project (HBP), one of the largest research projects in the world with more than 500 scientists and engineers across Europe studying the human brain. The results of the research are published in Nature Machine Intelligence (“Memory for AI Applications in Spike-based Neuromorphic Hardware”).

The close-up shows an Intel Nahuku board, each of which contains eight to 32 Intel Loihi neuromorphic research chips. (Image: Tim Herman, Intel Corporation)

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Noted fund manager and Ark Invest founder Cathie Wood on Saturday suggested that Artificial General Intelligence (AGI) will likely give a strong lift to economic growth.

The fund manager is of the view that a breakthrough in AGI will lead to the acceleration of GDP within the next six to 12 years. The analyst estimates that GDP growth will increase from the 3–5% year-over-year rate currently to 30–50% per year. New DNA will win,’ she added.

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On large, isolated construction sites, reliable remote operations are a game changer. See how BAM Nuttall remotely deployed Spot for 3D laser scanning using a p… See more.

On a large and remote construction site in Shetland, where the team is battling the elements, covering large distances every day, the Trimble and Boston Dynamics integrated robot solution has become man’s newest four-legged friend.

BAM Nuttall has successfully trialled the integrated Trimble X7 laser scanner with Boston Dynamics’ Spot® robot in a remote construction setting — utilising a private stand-alone 5G network for remote control — in the first use case of its kind.

Enlisting Spot as the newest member of the site team, the four-legged robot has used specially adapted 3D laser scanning equipment to collect data and create site records. Spot and the Trimble X7 payload were controlled remotely using a private 5G communications network covering the 55,176 m2 site, marking the robot’s first 5G deployment in the U.K.

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When Amazon Robotics scientists pondered adding mobile robots to fulfillment centers, they knew Amazon’s scale would present a unique challenge: Robot congestio… See more.

Amazon fulfillment centers use thousands of mobile robots. To keep products moving, Amazon Robotics researchers have crafted unique solutions.

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Artificial intelligence (AI) is spreading through society into some of the most important sectors of people’s lives – from health care and legal services to agriculture and transportation.1 As Americans watch this proliferation, they are worried in some ways and excited in others.

In broad strokes, a larger share of Americans say they are “more concerned than excited” by the increased use of AI in daily life than say the opposite. Nearly half of U.S. adults (45%) say they are equally concerned and excited. Asked to explain in their own words what concerns them most about AI, some of those who are more concerned than excited cite their worries about potential loss of jobs, privacy considerations and the prospect that AI’s ascent might surpass human skills – and others say it will lead to a loss of human connection, be misused or be relied on too much.

But others are “more excited than concerned,” and they mention such things as the societal improvements they hope will emerge, the time savings and efficiencies AI can bring to daily life and the ways in which AI systems might be helpful and safer at work. And people have mixed views on whether three specific AI applications are good or bad for society at large.

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