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MERLIN: A self-supervised strategy to train deep despeckling networks

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.

Landing AI brings in $57M for its machine learning operations tools

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.

Neuroscience Behind an Artificial General Intelligence

https://youtube.com/watch?v=1_Mcp-YjPmQ&feature=share

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.

What we usually think of as Artificial Intelligence today, when we see human-like robots and holograms in our fiction, talking and acting like real people and having human-level or even superhuman intelligence and capabilities — is actually called Artificial General Intelligence (AGI), and it does NOT exist anywhere on earth yet. What we do have is called Deep Learning, that has fundamental limitations that will not allow it to become AGI.

For an AI to pass the threshold of human intelligence, and become an artificial general intelligence requires an AI to have the ability to see, hear, and experience its environment. It needs to be able to learn that environment, to organize it’s memory non-locally and store abstract concepts in a distributed architecture so it can model it’s environment, events, and people in it.

It needs to be able speak conversationally and interact verbally like a human, and be able to understand the experiences, events, and concepts behind the words and sentences of language so it can compose language at a human level.

It needs to be able to solve all the problems that a human can, using flexible memory recall, analogy, metaphor, imagination, intuition, logic and deduction from sparse information.

Walmart is using driverless trucks to complete a seven-mile delivery loop

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.

Robotruck Startup Gatik Making Delivery Runs For Walmart Without Humans At The Wheel

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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DARPA Successfully Recovered a Gremlins Drone Mid-Air For the First Time

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.

The Gremlins drone is a semi-autonomous unmanned aerial vehicle (UAV) designed to carry a wide variety of payloads, including those for electronic warfare while being operated remotely. Launched from a mothership, such as the modified Hercules C-130 cargo aircraft, these drones are built to operate in swarms, offering the military a low-cost way of engaging its adversaries, without getting close to enemy lines. Therefore, the mid-air recovery of these drones is vital for them to enter service.

Mansoor Hanif — Executive Director, Emerging Technologies, NEOM — An Accelerator Of Human Progress

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.

Prior to this role, Mr Hanif served as Executive Director, Technology & Digital Infrastructure, where he oversaw the design and implementation of NEOM’s fixed, mobile, satellite and sub-sea networks.

An industry leader, Mr Hanif has over 25 years of experience in planning, building, optimizing and operating mobile networks around the world. He is patron of the Institute of Telecommunications Professionals (ITP), a member of the Steering Board of the UK5G Innovation Network, and on the Advisory Boards of the Satellite Applications Catapult and University College London (UCL) Electrical and Electronic Engineering Dept.

Prior to joining NEOM, Mr Hanif was Chief Technology Officer of Ofcom, the UK telecoms and media regulator, where he oversaw the security and resilience of the nation’s networks.

How This Pill Cures ALL Diseases — Hacking The Body with Protein Folding

A futuristic Pill will soon have the ability to fix any issue with the Human body, cure any disease and even make you live longer. This advancement in Biology is made possible with the help of Artificial Intelligence in the form of Google’s Alphafold 2.0 which solved Protein Folding and created a huge medical database of all proteins for all scientists and researchers to use for free.

Protein folding is the physical process by which a protein chain is translated to its native three-dimensional structure, typically a “folded” conformation by which the protein becomes biologically functional. People like David Sinclair are using it to increase longevity and create future medicine and pills to give human actual superpowers.

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TIMESTAMPS:
00:00 A “Once in a Lifetime” Invention.
00:59 What is Protein Folding?
03:48 How AI Revolutionized the Medical Industry.
05:58 What this means for the future of Medicine.
08:07 Current Problems with AlphaFold 2.0
09:07 Last Words.

#longevity #medicine #proteins