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“For example, a number of animals benefit from solar-powered molecules. The pea aphid produces pigments that, with the aid of light, generate adenosine triphosphate, or ATP, the compound that powers reactions with cells. In addition, a stripe of yellow pigment on the exoskeleton of the Oriental hornet (Vespa orientalis) converts light to electricity, which could help to explain why these insects become more active during the middle of the day. Other animals make use of actual photosynthesis, using sunlight, water and carbon dioxide to produce sugars and other vital compounds. Plants and algae rely on chloroplasts, structures within their cells, to carry out photosynthesis, but Elysia sea slugs can steal chloroplasts from algae they graze on, to help them live solely on photosynthesis for months… Many other animals reap benefits from photosynthesis by forming partnerships instead. For instance, most corals partner with photosynthetic symbiotic microbes known as zooxanthellae, while the eggs of spotted salamanders receive valuable oxygen from algae.”

If humans had green skin, for instance, what if it granted us the ability to perform photosynthesis, which plants use to live off of sunlight?

The new facility is a product of the partnership between Danish startup Nordic Harvest and Taiwanese tech company YesHealth Group. It’s an indoor farm that covers an area of over 75000 square feet, situated just on the outskirts of Copenhagen. Featuring a 14-shelf grow rack system, it boasts an annual production capacity of about 1000 tons of greens. That’s almost equivalent to the capacity of farms covering an area that’s the size of 20 soccer fields!

Research papers come out far too rapidly for anyone to read them all, especially in the field of machine learning, which now affects (and produces papers in) practically every industry and company. This column aims to collect the most relevant recent discoveries and papers — particularly in but not limited to artificial intelligence — and explain why they matter.

A membrane between what is inside the solar system and the outside. 😃

NASA‘s New Horizons spacecraft has helped scientists study a mysterious phenomenon at the edge of the Solar System, where particles from the Sun and interstellar space interact.

This region, about 100 times further from the Sun than Earth, is where uncharged hydrogen atoms from interstellar space meet charged particles from our Sun. The latter extend out from our Sun in a bubble called the heliosphere.

Continue reading “A NASA Spacecraft May Have Detected A Giant Wall At The Edge Of The Solar System” »

When taken orally or intravenously, medications typically travel throughout the body, producing unwanted side effects. MIT scientists are working on an alternative, that delivers both light and a light-activated drug directly to the target area.

So-called “photoswitchable” drugs contain light-sensitive molecules that essentially switch the drug on when exposed to a flash of light. This means that a pharmaceutical could remain inactive when moving through the bloodstream or digestive tract, only becoming active once it reached the place it was needed. As a result, few if any side effects would occur.

That said, how could a flash of light be delivered precisely to the target area, right when the drug was present at that location? Well, that’s where a device developed by the MIT researchers comes into play.

Scientists have developed a machine-learning method that crunches massive amounts of data to help determine which existing medications could improve outcomes in diseases for which they are not prescribed.

The intent of this work is to speed up drug repurposing, which is not a new concept—think Botox injections, first approved to treat crossed eyes and now a migraine treatment and top cosmetic strategy to reduce the appearance of wrinkles.

But getting to those new uses typically involves a mix of serendipity and time-consuming and expensive randomized clinical trials to ensure that a drug deemed effective for one disorder will be useful as a treatment for something else.

29 agosto 2020.

Utilizing nuclear waste converted to diamonds, this company’s batteries will reportedly last thousands of years in some cases.

Scientists at DGIST in Korea, and UC Irvine and UC San Diego in the US, have developed a computer architecture that processes unsupervised machine learning algorithms faster, while consuming significantly less energy than state-of-the-art graphics processing units. The key is processing data where it is stored in computer memory and in an all-digital format. The researchers presented the new architecture, called DUAL, at the 2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture.

“Today’s computer applications generate a large amount of data that needs to be processed by machine learning algorithms,” says Yeseong Kim of Daegu Gyeongbuk Institute of Science and Technology (DGIST), who led the effort.

Powerful “unsupervised” machine learning involves training an algorithm to recognize patterns in large datasets without providing labeled examples for comparison. One popular approach is a clustering algorithm, which groups similar data into different classes. These algorithms are used for a wide variety of data analyzes, such as identifying fake news on social media, filtering spam email and detecting criminal or fraudulent activity online.

Polarons are fleeting distortions in a material’s atomic lattice that form around a moving electron in a few trillionths of a second, then quickly disappear. As ephemeral as they are, they affect a material’s behavior, and may even be the reason that solar cells made with lead hybrid perovskites achieve extraordinarily high efficiencies in the lab.

Now scientists at the Department of Energy’s SLAC National Accelerator Laboratory and Stanford University have used the lab’s X-ray laser to watch and directly measure the formation of polarons for the first time. They reported their findings in Nature Materials today.

“These materials have taken the field of solar energy research by storm because of their high efficiencies and low cost, but people still argue about why they work,” said Aaron Lindenberg, an investigator with the Stanford Institute for Materials and Energy Sciences (SIMES) at SLAC and associate professor at Stanford who led the research.