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Australian Bitcoin ‘creator’ files UK lawsuit to retrieve $5.6B cryptocurrency fortune

Another day, another person claiming they’ve created Bitcoin. Craig Wright, an Australian computer scientist, has launched a $5.6 billion lawsuit in a London high court to retrieve 111,000 Bitcoins, claiming that he’s the inventor of the cryptocurrency.

Wright has filed the case against 16 developers who were behind crypto networks Bitcoin Satoshi Vision (BSV), Bitcoin Core (BTC), Bitcoin Cash, (BCH), and Bitcoin Cash ABC (ABC). A report from Reuters noted that these networks have wallet addresses in the US, Europe, Japan, Australia, and New Zealand. 

Several defendants dismissed the case saying it’s “bogus,” and Wright hasn’t proven that he indeed created one of the world’s most popular cryptocurrencies.

Last month, Wright also filed a case against crypto site Bitcoin.org’s publisher Corba for alleged copyright infringement.

Over the years, Wright has claimed several times that he is indeed Satoshi Nakamoto, the author of the original 2008 whitepaper detailing the workings of Bitcoin. But has since failed to prove it substantially. He also claims that in February 2020, his home network was hacked and he’s lost access to encrypted keys to his Bitcoin wallet.

The question still remains, will the real Satoshi Nakamoto please stand up?

Repost: Original Source and Author Link

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Tech News

MIT robot uses radio waves to find and retrieve hidden objects

MIT researchers have developed a robot that can detect and grab objects that are hidden behind walls or pieces of clutter.

The system, called RF-Grasp, uses radio waves to locate items beyond the line-of-sight of a robot’s cameras. It could help warehouse robots grab customer orders or tools that are occluded behind obstacles.

Existing mechanical search systems struggle with these tasks due to the constraints of their sensors. If an object is concealed, they typically need to explore the environment and search for the item.

Unlike visible light and infrared, RF (radio frequency) signals can traverse cardboard boxes, wooden walls, plastic covers, and colored glass to perceive objects fitted with RFID tags.

[Read: How to use AI to better serve your customers]

“Researchers have been giving robots human-like perception,” said study co-author Fadel Adib. “We’re trying to give robots superhuman perception.”

Robotic perception

RF-Grasp is comprised of a camera on the robot’s wrist and a separate RF reader. Together, they collect tracking data and create a visual map of the environment.

The system first pings the object’s RF tag to identify its location. It then determines the optimal path around the obstacles to reach the item.

As the robot gets closer to the object and starts manipulating it, computer vision provides more precise directions.

In tests, RF-Grasp successfully identified and moved objects that were concealed behind packaging and other obstacles. The researchers say the system completed the tasks with about half as much movement as similar robots equipped with only a camera.

The system does depend on target objects being tagged with RFIDs. But the widespread adoption of these chips as barcode replacements in retail, manufacturing, and warehousing means RF-Grasp could already have a practical impact.

You can read the study paper here.

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Published April 1, 2021 — 18:36 UTC



Repost: Original Source and Author Link