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The algorithms spot and classify synthetic-material objects based on the distinctive manner in which they reflect polarized light. Polarized light reflected from human-made objects often differs from natural objects, such as vegetation, soil, and rocks.

The researchers tested such a camera, both on the ground and from a US Coast Guard helicopter, which was flying at the altitude at which the polarimetric-camera-equipped drones will fly.

Once fully operational, data collected by the drone-based machine learning system will be used to make maps that show where marine debris is concentrated along the coast to guide rapid response and removal efforts. The researchers will provide NOAA Marine Debris Program staff with training in the use of the new system, along with standard operating procedures manual.

Quantum computing and machine learning are two of the most exciting technologies that can transform businesses. We can only imagine how powerful it can be if we can combine the power of both of these technologies. When we can integrate quantum algorithms in programs based on machine learning, that is called quantum machine learning. This fascinating area has been a major area of tech firms, and they have brought out tools and platforms to deploy such algorithms effectively. Some of these include TensorFlow Quantum from Google, Quantum Machine Learning (QML) library from Microsoft, QC Ware Forge built on Amazon Braket, etc.

Students skilled in working with quantum machine learning algorithms can be in great demand due to the opportunities the field holds. Let us have a look at a few online courses one can use to learn quantum machine learning.

In this course, the students will start with quantum computing and quantum machine learning basics. The course will also cover topics on building Qnodes and Customised Templates. It also teaches students to calculate Autograd and Loss Function with quantum computing using Pennylane and to develop with the Pennylane.ai API. The students will also learn how to build their own Pennylane Plugin and turn Quantum Nodes into Tensorflow Keras Layers.

Can you crumple up two sheets of paper the exact same way? Probably not—the very flexibility that lets flexible structures from paper to biopolymers and membranes undergo many types of large deformations makes them notoriously difficult to control. Researchers from the Georgia Institute of Technology, Universiteit van Amsterdam, and Universiteit Leiden have shed new light on this fundamental challenge, demonstrating that new physical theories provide precise predictions of the deformations of certain structures, as recently published in Nature Communications.

In the paper, Michael Czajkowski and D. Zeb Rocklin from Georgia Tech, Corentin Coulais from Universiteit van Amsterdam, and Martin van Hecke of AMOLF and Universiteit Leiden approach a highly studied exotic elastic material, uncover an intuitive geometrical description of the pronounced—or nonlinear—soft deformations, and show how to activate any of these deformations on-demand with minimal inputs. This new theory reveals that a flexible mechanical structure is governed by some of the same math as electromagnetic waves, phase transitions, and even black holes.

“So many other systems struggle with how to be strong and solid in some ways but flexible and compliant in others, from the human body and micro-organisms to clothing and industrial robots,” said Rocklin. “These structures solve that problem in an incredibly elegant way that permits a single folding mechanism to generate a wide family of deformations. We’ve shown that a single folding mode can transform a structure into an infinite family of shapes.”

Unity acquires Ziva Dynamics, leader in sophisticated simulation and deformation, machine learning, and real-time character creation.

At Unity, we are laser-focused on democratizing tools for creators, so that the industry’s most brilliant gems are available to all, not just a select few. And we are continuously focused on helping artists make their dreams a reality.

We recently acquired Weta Digital’s tools, technology, and engineering talent to deliver on this vision. Today, we’re proud to announce that we’re doubling down on our commitment to artists with the acquisition of Ziva Dynamics.

Read more on the Unity Blog: https://on.unity.com/3GXz4Kp

A new set of molecular building blocks aims to make complex chemistry as simple and accessible as a toy construction kit.

Researchers at the University of Illinois Urbana-Champaign and collaborators at Revolution Medicines Inc. developed a new class of chemical building blocks that simply snap together to form 3D with complex twists and turns, and an automated machine to assemble the blocks like a 3D printer for molecules.

This automation could allow chemists and nonchemists alike to develop new pharmaceuticals, materials, diagnostic probes, catalysts, perfumes, sweeteners and more, said study leader Dr. Martin D. Burke, a professor of chemistry at Illinois and a member of the Carle Illinois College of Medicine, as well as a medical doctor. The researchers reported their findings in the journal Nature.

The latest on some space debris…


The Falcon 9 DSCOVR’s booster: 7 Feb. 2022.

The animation above comes from 268, single, 4-second exposures, remotely taken with the “Elena” (PlaneWave 17″+Paramount ME+SBIG STL-6303E) robotic unit available at Virtual Telescope. The telescope tracked the apparent motion of the booster, so it looks like a sharp dot, with surrounding stars moving on the background. East is up, South on the left.

There was a VERY strong Moon interference, the booster was in the same spot of the sky as our natural satellite and grabbing it was quite hard. As we can see, the booster is blinking, as it is tumbling with a period of about 90 seconds.

Autonomous, electric vehicles are driving around Yellowstone National Park in a new test program that could become a permanent mode of transportation.

Last week, the park debuted its new “TEDDY” program — or The Electronic Driverless Demonstration in Yellowstone.

“As visitation continues increasing in Yellowstone, we are looking at a range of visitor management actions that focus on protecting resources, improving the visitor experience, and reducing congestion, noise, and pollution,” Superintendent Cam Sholly said in a statement. “Shuttles will unquestionably play a key role in helping achieve these goals in many of the busiest areas of the park.”

The award brings NASA a step closer to the first robotic round trip to bring samples safely to Earth through the Mars Sample Return Program.

NASA has awarded a contract to Lockheed Martin Space of Littleton, Colorado, to build the Mars Ascent Vehicle (MAV), a small, lightweight rocket to launch rock, sediment, and atmospheric samples from the surface of the Red Planet. The award brings NASA a step closer to the first robotic round trip to bring samples safely to Earth through the Mars Sample Return Program.

“This groundbreaking endeavor is destined to inspire the world when the first robotic round-trip mission retrieves a sample from another planet – a significant step that will ultimately help send the first astronauts to Mars,” NASA Administrator Bill Nelson said. “America’s investment in our Mars Sample Return program will fulfill a top priority planetary science goal and demonstrate our commitment to global partnerships, ensuring NASA remains a leader in exploration and discovery.”

An intriguing message has landed on social media from the official Gran Turismo account and the account of Sony AI teasing what’s referred to as a “Gaming Flagship” and “breakthrough project” in AI. The companies, both subsidiary arms of the wider Sony brand, jointly revealed that they’re set to announce the project on Wednesday February 9.

Along with the announcement, Sony AI posted a short, 25-second teaser video. The clip featured something similar to the light traces we’ve been seeing in the Gran Turismo “Find Your Line” video series, as well as short glimpses of double-World Tour champions Igor Fraga and Takuma Miyazono, along with World Tour finalist Emily Jones.

It ends looking in on Polyphony Digital’s main studio in Tokyo, from where Kazunori Yamauchi has recently been presenting GT7 preview videos and the recent Q&A.