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Circa 2012 Now, a team of MIT researchers has come up with a very different approach: building cubes or towers that extend the solar cells upward in three-dimensional configurations. Amazingly, the results from the structures they’ve tested show power output ranging from double to more than 20 times that of fixed flat panels with the same base area.


Innovative 3D designs from an MIT team can more than double the solar power generated from a given area.

When the researchers studied the patterns of aging-associated chemical tags called methyl groups, which serve as an indicator of a cell’s chronological age, they found that the treated cells appeared to be about 1½ to 3½ years younger on average than untreated cells from elderly people, with peaks of 3½ years (in skin cells) and 7½ years (in cells that line blood vessels).


The study found that inducing old human cells in a lab dish to briefly express these proteins rewinds many of the molecular hallmarks of aging and renders the treated cells nearly indistinguishable from their younger counterparts.

“When iPS cells are made from adult cells, they become both youthful and pluripotent,” says Vittorio Sebastiano, assistant professor of obstetrics and gynecology at Stanford University and senior author of the paper, published in Nature Communications.

“We’ve wondered for some time if it might be possible to simply rewind the aging clock without inducing pluripotency. Now we’ve found that, by tightly controlling the duration of the exposure to these protein factors, we can promote rejuvenation in multiple human cell types.”

Sunflower Electric Power Corp.

JOHNSON CITY – Sunflower Electric Power Corp. and Lightsource BP have announced that the Johnson Corner Solar Project entered commercial operation on April 7. The $37 million project, which was financed and constructed by Lightsource BP, is located approximately 2 miles southwest of Johnson City in Stanton County.

Lightsource BP, a global leader in the development, financing and management of utility-scale solar energy projects, is the project owner and operator. All the energy from the project is being sold under a 25-year power purchase agreement (PPA) to Sunflower, a nonprofit electric utility providing wholesale generation and transmission services to six member-owners serving in central and western Kansas. The National Renewables Cooperative Organization (NRCO) played a key role in helping Sunflower develop this important project for the public power community.

Spotted on my feed.


“The new burger chef makes $3 an hour and never goes home.” — LA Times.

Flippy is the world’s first autonomous robotic kitchen assistant that can learn from its surroundings and acquire new skills over time. Specifically designed to operate in an existing commercial kitchen layout and to serve alongside kitchen staff to safely and efficiently fulfill a variety of cooking tasks. Miso is working with major QSR locations to integrate Flippy as an overhead rail system. The overhead rail system will reduce the cost to produce Flippy by 50% and requires ZERO real estate footprint.

O,.O woah!


This summer, NASA plans to launch its next Mars rover, Perseverance, which will carry with it the first aircraft to ever fly on another planet, the Mars Helicopter. As the first of its kind, the Mars Helicopter will carry no instruments and collect no data—NASA describes merely flying it all as “high-risk, high-reward” research.

With the risks of extraterrestrial flight in mind, Penn Engineers are suggesting a different approach to exploring the skies of other worlds: a fleet of tiny aircraft that each weigh about as much as a fruit fly and have no moving parts.

These flyers are plates of “nanocardboard,” which levitate when bright light is shone on them. As one side of the plate heats up, the temperature differential gets air circulating through its and shooting out of the corrugated channels that give it its name, thrusting it off the ground.

Using machine learning three groups, including researchers at IBM and DeepMind, have simulated atoms and small molecules more accurately than existing quantum chemistry methods. In separate papers on the arXiv preprint server the teams each use neural networks to represent wave functions of electrons that surround the molecules’ atoms. This wave function is the mathematical solution of the Schrödinger equation, which describes the probabilities of where electrons can be found around molecules. It offers the tantalising hope of ‘solving chemistry’ altogether, simulating reactions with complete accuracy. Normally that goal would require impractically large amounts of computing power. The new studies now offer a compromise of relatively high accuracy at a reasonable amount of processing power.

Each group only simulates simple systems, with ethene among the most complex, and they all emphasise that the approaches are at their very earliest stages. ‘If we’re able to understand how materials work at the most fundamental, atomic level, we could better design everything from photovoltaics to drug molecules,’ says James Spencer from DeepMind in London, UK. ‘While this work doesn’t achieve that quite yet, we think it’s a step in that direction.’

Two approaches appeared on arXiv just a few days apart in September 2019, both combining deep machine learning and Quantum Monte Carlo (QMC) methods. Researchers at DeepMind, part of the Alphabet group of companies that owns Google, and Imperial College London call theirs Fermi Net. They posted an updated preprint paper describing it in early March 2020.1 Frank Noé’s team at the Free University of Berlin, Germany, calls its approach, which directly incorporates physical knowledge about wave functions, PauliNet.2