Lifeboat Foundation

When a highly coherent light beam, such as that emitted by radars, is diffusely reflected on a surface with a rough structure (e.g., a piece of paper, white paint or a metallic surface), it produces a random granular effect known as the ‘speckle’ pattern. This effect results in strong fluctuations that can reduce the quality and interpretability of images collected by synthetic aperture radar (SAR) techniques.

SAR is an imaging method that can produce fine-resolution 2D or 3D images using a resolution-limited radar system. It is often employed to collect images of landscapes or object reconstructions, which can be used to create millimeter-to-centimeter scale models of the surface of Earth or other planets.

To improve the quality and reliability of SAR data, researchers worldwide have been trying to develop techniques based on deep neural networks that could reduce the speckle effect. While some of these techniques have achieved promising results, their performance is still not optimal.

Just over a year after launching its flagship product, Landing AI secured a $57 million round of Series A funding to continue building tools that enable manufacturers to more easily and quickly build and deploy artificial intelligence systems.

The company, started by former Google and Baidu AI guru Andrew Ng, developed LandingLens, a visual inspection tool that applies AI and deep learning to find product defects faster and more accurately.

Ng says industries should adopt a data-centric approach to building AI, which provides a more efficient way for manufacturers to teach an AI model what to do, using no code/low code capabilities, which include just a few mouse clicks to build advanced AI models in less than a day.

This video gives and overview of human neuroscience and applies it to the design of an artificial general intelligence named Eta.

Go to www.startengine.com/orbai to own shares in the future of AI.
Check out https://www.orbai.ai/about-us.htm for details on the company, tech, patents, products and more.

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As promised, Walmart has started doing fully driverless box truck deliveries in partnership with startup Gatik between its own locations on a fixed 7-mile loop, the companies announced. Despite those limitations, the route in Bentonville, Arkansas involves “intersections, traffic lights and merging on dense urban roads,” the companies said. It’s another shot of good news for the progress of self-driving vehicles after GM’s cruise launched its self-driving taxis into testing last week.

The Gatik trucks are bringing grocery orders from a Walmart fulfilment center (dark store) to a nearby Walmart Neighborhood Market grocery store in Bentonville, the host city of the company’s headquarters. The route covers the “middle mile” transportation of goods between warehouses and stores. The program effectively got launched following the December 2020 approval by the Arkansas State Highway Commission, and has been driverless since this summer.

Gatik, a Silicon Valley-based developer of robotic technology to handle “middle-mile” deliveries from distribution centers to stores, has begun hauling goods for Walmart in autonomous trucks without a human backup at the wheel for the first time.

Gatik, which has been making delivery runs for Walmart since 2019 in the retail giant’s Bentonville, Arkansas, hometown, is operating two fully autonomous trucks that are hauling goods on a fixed, 7.1-mile route between an e-commerce distribution facility there to a Walmart Neighborhood Market store. This new phase started in August and is the first time any autonomous trucking company has operated commercial delivery routes without a human backup, the companies said.

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A milestone achievement for the army.

After multiple attempts, the Defense Advanced Research Projects Agency — commonly known as DARPA — has confirmed that it has successfully completed a mid-air recovery of the X-61 drone, Gremlins. While details of the test were not revealed, DARPA said that the mission was accomplished last month at the Dugway Proving Ground in Utah.

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A US$500 billion accelerator of human progress — mansoor hanif, executive director, emerging technologies, NEOM.

Mansoor Hanif is the Executive Director of Emerging Technologies at NEOM (https://www.neom.com/en-us), a fascinating $500 billion planned cognitive city” & tourist destination, located in north west Saudi Arabia, where he is responsible for all R&D activities for the Technology & Digital sector, including space technologies, advanced robotics, human-machine interfaces, sustainable infrastructure, digital master plans, digital experience platforms and mixed reality. He also leads NEOM’s collaborative research activities with local and global universities and research institutions, as well as manages the team developing world-leading Regulations for Communications and Connectivity.

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The labor crunch is giving workers more negotiating power but also boosting automation investments. Earnings season was generally fine. Plus the deals of the week.

A new machine-learning system helps robots understand and perform certain social interactions.

Robots can deliver food on a college campus and hit a hole-in-one on the golf course, but even the most sophisticated robot can’t perform basic social interactions that are critical to everyday human life.

MIT.