“We saw a very large coronal mass ejection, which is a major storm on the sun,” Todd explained. “It happened on the far side, which is awfully good because it was enormous.”
Though the explosive CME is not expected to strike Earth, images captured by satellite and seismic mapping showing the sheer size of the eruption had many people talking, Todd said.
Todd said scientists estimate the flare stretched to roughly 400,000 kilometers, greater than the distance between the Earth and the Moon.
We construct quantum algorithms to compute physical observables of nonlinear PDEs with M initial data. Based on an exact mapping between nonlinear and linear PDEs using the level set method, these new quantum algorithms for nonlinear Hamilton-Jacobi and scalar hyperbolic PDEs can be performed with a computational cost that is independent of M, for arbitrary nonlinearity. Depending on the details of the initial data, it can also display up to exponential advantage in both the dimension of the PDE and the error in computing its observables. For general nonlinear PDEs, quantum advantage with respect to M is possible in the large M limit.
In a paper published by Science, DeepMind demonstrates how neural networks can improve approximation of the Density Functional (a method used to describe electron interactions in chemical systems). This illustrates deep learning’s promise in accurately simulating matter at the quantum mechanical.
In a paper published in the scientific journal Science, DeepMind demonstrates how neural networks can be used to describe electron interactions in chemical systems more accurately than existing methods.
Density Functional Theory, established in the 1960s, describes the mapping between electron density and interaction energy. For more than 50 years, the exact nature of mapping between electron density and interaction energy — the so-called density functional — has remained unknown. In a significant advancement for the field, DeepMind has shown that neural networks can be used to build a more accurate map of the density and interaction between electrons than was previously attainable.
By expressing the functional as a neural network and incorporating exact properties into the training data, DeepMind was able to train the model to learn functionals free from two important systematic errors — the delocalization error and spin symmetry breaking — resulting in a better description of a broad class of chemical reactions.
13 Aug 2021
“The proportions of different isotopes of elements present in the bedrock and water create a unique profile, specific to each place on Earth. This profile remains consistent over the millennia and is a kind of “fingerprint” of a region, which can be found in plants, rocks and even animal remains.” National Geographic Poland.
“One of the mammoth’s tusks became a perfect record of all the places the animal visited in its lifetime — with an accuracy almost to the day.”
An international research team has retraced the astonishing lifetime journey of an Arctic woolly mammoth, which covered enough of the Alaska landscape during its 28 years to almost circle the Earth twice.
The U.S. Army has awarded a $20 million a year contract to a California-based drone manufacturer, named Skydio, as part of its efforts to move away from foreign-made and commercially available off-the-shelf drones. Skydio revealed in a press release that it would supply its X2D drones for the U.S. Army’s Short Range Reconnaissance (SSR) Program.
With an aim to equip its soldiers with rapidly deployable aerial solutions that can conduct reconnaissance and surveillance activities over short ranges, the Army’s SSR program has been considering small drones for some time now. More than 30 vendors submitted their proposals to the Army, and five finalists were shortlisted for rigorous testing.
The Drive accessed a federal contract from 2017 that listed the minimal specifications of the SSR program which include a flight time of 30 minutes, a range of 1.86 nautical miles (3 km), and the ability to tolerate winds up to 15 knots. With the singular purpose of reconnaissance, the drone does not need to have swappable payloads but it should support mapping missions and the ability to geotag imagery. U.S. Army has awarded a $20 million a year contract to a California-based drone manufacturer, named Skydio, as part of its efforts to move away from foreign-made and commercially available off-the-shelf drones. Skydio revealed in a press release that it would supply its X2D drones for the U.S. Army’s Short Range Reconnaissance (SSR) Program.
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.
Circa 2021
Mapping of the global potential of atmospheric water harvesting using solar energy shows that it could provide safely managed drinking water for a billion people worldwide based on climate suitability.
A team mapping radio waves in the Universe has discovered something unusual that releases a giant burst of energy three times an hour, and it’s unlike anything astronomers have seen before. The team who discovered it think it could be a neutron star or a white dwarf—collapsed cores of stars—wi…
Electric bicycle sales have been on a skyward trajectory since early in the pandemic, and new numbers show they are selling more units than electric cars and plug-in hybrids combined. Those figures recently released by the Light Electric Vehicle Association trade group help bolster the case for personal electric vehicles as alternatives to larger cars […].
Google Earth VR is a fun and useful way of seeing the world—it’s easy to lose yourself visiting your hometown, or mapping out new adventures thanks to the company’s extensive 3D building scans. Unfortunately Google Earth VR is a PC VR only app, meaning it doesn’t work natively on Quest. That’s not set to change anytime soon, although a third-party Quest app is looking to offer up much of the magic of Earth VR while also making it a multiplayer experience.
Wooorld (that’s three ‘o’s) isn’t being developed by Google, however it appears to be making good use of Google Maps APIs, giving it access to all the 2D and 3D data you’d find on Google Earth VR.
One of the biggest differences is that Wooorld offers up a more limited rendering of Earth 3D data, which was undoubtedly done to lighten the load on Quest’s more modest mobile chipset.
Summary: The body relies on multiple maps based on the choice of the motor system.
Source: Tohoku University.
Our brain maps out our body to facilitate accurate motor control; disorders of this body map result in motor deficits. For a century, the body map has been thought to have applied to all types of motor actions. Yet scientists have begun to query how the body map operates when executing different motor actions, such as moving your eyes and hands together.
