Lifeboat Foundation

The synthesis of plastic precursors, such as polymers, involves specialized catalysts. However, the traditional batch-based method of finding and screening the right ones for a given result consumes liters of solvent, generates large quantities of chemical waste, and is an expensive, time-consuming process involving multiple trials.

Ryan Hartman, professor of chemical and biomolecular engineering at the NYU Tandon School of Engineering, and his laboratory developed a lab-based “intelligent microsystem” employing machine learning, for modeling chemical reactions that shows promise for eliminating this costly process and minimizing environmental harm.

In their research, “Combining automated microfluidic experimentation with machine learning for efficient polymerization design,” published in Nature Machine Intelligence, the collaborators, including doctoral student Benjamin Rizkin, employed a custom-designed, rapidly prototyped microreactor in conjunction with automation and in situ infrared thermography to study exothermic (heat generating) polymerization—reactions that are notoriously difficult to control when limited experimental kinetic data are available. By pairing efficient microfluidic technology with machine learning algorithms to obtain high-fidelity datasets based on minimal iterations, they were able to reduce chemical waste by two orders of magnitude and catalytic discovery from weeks to hours.

Wind power surged worldwide in 2019, but will it sustain? More than 340,000 wind turbines generated over 591 gigawatts globally. In the U.S., wind powered the equivalent of 32 million homes and sustained 500 U.S. factories. What’s more, in 2019 wind power grew by 19 percent, thanks to both booming offshore and onshore projects in the U.S. and China.

A study by Cornell University researchers used supercomputers to look into the future of how to make an even bigger jump in wind power capacity in the U.S.

“This research is the first detailed study designed to develop scenarios for how wind energy can expand from the current levels of seven percent of U.S. electricity supply to achieve the 20 percent by 2030 goal outlined by the U.S. Department of Energy National Renewable Energy Laboratory (NREL) in 2014,” said study co-author Sara C. Pryor, a professor in the Department of Earth and Atmospheric Studies, Cornell University. Pryor and co-authors published the wind power study in Nature Scientific Reports, February 2020.

Ever since the outbreak of the SARS-CoV-2, scientists have been scrambling to identify the species of origin to understand how the new coronavirus first leapt from its animal hosts to humans, causing the current pandemic infecting more than a million people worldwide.

Scientists have been looking for an intermediate animal host between bats, which are known to harbor many coronaviruses, and the first introduction of SARS-CoV-2 into humans.

Many animals, beginning with snakes and most recently, pangolins, have all been put forth as the likely intermediate, but the viruses isolated from them are too divergent from SARS-CoV-2, suggesting a common ancestor too far back in time—-living in the 1960s.

The U.S. government is still trying to understand the origins of covid-19.

https://www.youtube.com/watch?v=r-vbh3t7WVI

Your Neuralink device would be implanted using traditional neurosurgery methods safely and seamlessly with a robot surgeon. As mentioned in the Neuralink published paper, “We have also built a neurosurgical robot capable of inserting six threads (192 electrodes) per minute. Each thread can be individually inserted into the brain with micron precision for the avoidance of surface vasculature and targeting specific brain regions.”

Continue reading “Downloading the Human Brain to a Computer: Elon Musk’s Neuralink” »

You really can not make this up The Bill and Melinda Gates Foundation has donated more than $21 million towards developing a vaccine technology that uses a tattoo-like mechanism which injects invisible nanoparticles under the skin that is now being tested in a vaccine against the virus that causes COVID-19.

Another study funded by the Bill and Melinda Gates Foundation and published in December, 2019 by researchers from the Massachusetts Institute of Technology, the Institute of Chemistry of the Chinese Academy of Sciences in Beijing and the Global Good, Intellectual Ventures Laboratory in Bellevue, WA, describes how “near-infrared quantum dots” can be implanted under the skin along with a vaccine to encode information for “decentralized data storage and bio-sensing.”

“To maximize the utility of this technology for vaccination campaigns, we aimed to create a platform compatible with microneedle-delivered vaccines that could reliably encode data on an individual for at least five years after administration,” said the MIT paper, titled Biocompatible near-infrared quantum dots delivered to the skin by microneedle patches record vaccination. “In addition, this system also needed to be highly biocompatible, deliver a sufficient amount of dye after an application time of 2 min or less, and be detectable using a minimally adapted smartphone.”

Continue reading “Bill Gates and Intellectual Ventures Funds Microchip Implant Vaccine Technology” »

O,.o 2019

Transplanting insulin-making islet cells comes close to a cure for type 1 diabetes. It was developed in the U.S. and should be available here. But it isn’t.

The Wolfram Physics Project intends to crowdsource the pursuit of the discipline’s holy grail: A fundamental theory of everything.

VTT researchers have successfully demonstrated a new electronic refrigeration technology that could enable major leaps in the development of quantum computers. Present quantum computers require extremely complicated and large cooling infrastructure that is based on mixture of isotopes of helium. The new electronic cooling technology could replace these cryogenic liquid mixtures and enable miniaturization of quantum computers.

In this purely electrical refrigeration method, cooling and thermal isolation operate effectively through the same point like junction. In the experiment the researchers suspended a piece of silicon from such junctions and refrigerated the object by feeding electrical current from one junction to another through the piece. The current lowered the thermodynamic temperature of the silicon object as much as 40% from that of the surroundings. This could lead to the miniaturization of future quantum computers, as it can simplify the required cooling infrastructure significantly. The discovery has been published in Science Advances.

“We expect that this newly discovered electronic cooling method could be used in several applications from the miniaturization of quantum computers to ultra-sensitive radiation sensors of the security field,” says Research Professor Mika Prunnila from VTT Technical Research Centre of Finland.