Lifeboat Foundation

Deep neural networks exploit statistical regularities in data to carry out prediction or classification tasks. This makes them very good at handling computer vision tasks such as detecting objects. But reliance on statistical patterns also makes neural networks sensitive to adversarial examples.

An adversarial example is an image that has been subtly modified to cause a deep learning model to misclassify it. This usually happens by adding a layer of noise to a normal image. Each noise pixel changes the numerical values of the image very slightly, enough to be imperceptible to the human eye. But when added together, the noise values disrupt the statistical patterns of the image, which then causes a neural network to mistake it for something else.

NASA gives Earth the all-clear for the next century, removing a particularly menacing asteroid, Apophis, from its “risk list”.

https://youtube.com/watch?v=xInLmHqWoqk

On March 27, 2021 NASA’s Perseverance Rover unlocked Mars Helicopter Ingenuity (release system unlocked) and started deployment process. As for now, NASA’s rover prepares to get the Helicopter upright. Flight scheme is known. Before Ingenuity takes its first flight on Mars, it must be squarely in the middle of its airfield – a 33-by-33-foot (10-by-10-meter) patch of Martian real estate chosen for its flatness and lack of obstructions. Once the helicopter and rover teams confirm that Perseverance is situated exactly where they want it to be inside the airfield, the elaborate process to deploy the helicopter on the surface of Mars begins.

Credit: nasa.gov, NASA/JPL-Caltech, NASA/JPL-Caltech/ASU

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Physicists at the LHCb Collaboration at CERN have found particles not behaving the way they should according to the guiding theory of particle physics. Could it be evidence of a brand new physics?

Plastics are one of the world’s largest polluters, taking hundreds of years to degrade in nature. A research team, led by YSE professor Yuan Yao and Liangbing Hu from the University of Maryland, has created a high-quality bioplastic from wood byproducts that they hope can solve one of the world’s most pressing environmental issues.

Efforts to shift from petrochemical plastics to renewable and biodegradable plastics have proven tricky — the production process can require toxic chemicals and is expensive, and the mechanical strength and water stability is often insufficient. But researchers have made a breakthrough, using wood byproducts, that shows promise for producing more durable and sustainable bioplastics.

A study published in Nature Sustainability, co-authored by Yuan Yao, assistant professor of industrial ecology and sustainable systems at Yale School of the Environment (YSE), outlines the process of deconstructing the porous matrix of natural wood into a slurry. The researchers say the resulting material shows a high mechanical strength, stability when holding liquids, and UV-light resistance. It can also be recycled or safely biodegraded in the natural environment, and has a lower life-cycle environmental impact when compared with petroleum-based plastics and other biodegradable plastics.

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Continue reading “Telomere Length: How Does it Compare Against Other Biological Age Metrics?” »

Protein Transport in Peroxisomes.

#peroxisomes #protein Transport

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Joby Avaiation could be the first to make air taxis a reality. The company is one of the most experienced companies trying to bring urban air taxis to the mainstream. Here’s the first look at its eVTOL. https://cnet.co/2Qp0YcV

As a future Mars tourist attraction, Olympus Mons is unlike anything else in the solar system.