Lifeboat Foundation

Google announced today that it is buying AppSheet, an eight-year-old no-code mobile-application-building platform. The company had raised more than $17 million on a $60 million valuation, according to PitchBook data. The companies did not share the purchase price.

With AppSheet, Google gets a simple way for companies to build mobile apps without having to write a line of code. It works by pulling data from a spreadsheet, database or form, and using the field or column names as the basis for building an app.

It is integrated with Google Cloud already integrating with Google Sheets and Google Forms, but also works with other tools, including AWS DynamoDB, Salesforce, Office 365, Box and others. Google says it will continue to support these other platforms, even after the deal closes.

Holly Jean Buck is a fellow at UCLA’s Institute of the Environment and Sustainability. This is an adapted excerpt from her upcoming book After Geoengineering: Climate Tragedy, Repair, and Restoration (September 2019, Verso Books).

“These are novel living machines,” says Joshua Bongard, the University of Vermont expert who co-led the new research. “They’re neither a traditional robot nor a known species of animal. It’s a new class of artifact: a living, programmable organism.”

In the popular book The Demon in the Machine, physicist Paul Davies argues that what’s missing in the definition of life is how biological processes create “information,” and such information storage is the stuff of life, like a bird’s ability to navigate or a human’s ability to solve complex problems. The “Demon” Davies refers to is Maxwell’s Demon, as proposed by 19th century physicist James Clerk Maxwell as a thought experiment. Maxwell’s hypothetical “demon” controls a gate between two chambers of gas and knows when to open the gate only to allow gas molecules moving faster than average to pass through it. This way, a chamber could be heated and create “energy” to be put to work. Such a demon would amount to a workaround of the Second Law of Thermodynamics. And that, as we know, is impossible. We also know, of course, that demons don’t exist.

However, living things use many protein devices called enzymes that mimic such a demon each time a muscle contracts or when any chemical reaction needs to be driven uphill and away from thermodynamic equilibrium like the gas molecules chosen by the demon. How these dynamic machines work has long been puzzling. Over the past 75 years, scientists have chipped away at this problem without identifying precise details of how any of these enzyme machines accomplishes the sleight of hand that sustains living things, such as humans who live in a chemical state far from equilibrium.

For the first time, in a paper published in Proteins: Structure, Function, and Bioinformatics by Charlie Carter, Ph.D., professor in the Department of Biochemistry and Biophysics at the UNC School of Medicine, and supported by the National Institute of General Medical Sciences, describes the details that enable one such machine to work like Maxwell’s demon.

Artificial Intelligence can now detect over 50 eyes diseases as accurately as doctors!

In a new report published on Scientific Reports, Milan M. Milošević and an international research team at the Zepler Institute for Photonics and Nanoelectronics, Etaphase Incorporated and the Departments of Chemistry, Physics and Astronomy, in the U.S. and the U.K. Introduced a hyperuniform-disordered platform to realize near-infrared (NIR) photonic devices to create, detect and manipulate light. They built the device on a silicon-on-insulator (SOI) platform to demonstrate the functionality of the structures in a flexible, silicon-integrated circuit unconstrained by crystalline symmetries. The scientists reported results for passive device elements, including waveguides and resonators seamlessly integrated with conventional silicon-on-insulator strip waveguides and vertical couplers. The hyperuniform-disordered platform improved compactness and enhanced energy efficiency as well as temperature stability, compared to silicon photonic devices fabricated on rib and strip waveguides.

Academic and commercial efforts worldwide in the field of silicon photonics have led to engineer optical data communications at the Terabit-scale at increasingly lower costs to meet the rapidly growing demand in data centers. Explosive growth in cloud computing and entertainment-on-demand pose increasingly challenging costs and energy requirements for data transmission, processing and storage. Optical interconnects can replace traditional copper-based solutions to offer steadily increasing potential to minimize latency and power consumption, while maximizing the bandwidth and reliability of the devices. Silicon photonics also leverage large-scale, complementary metal-oxide semiconductor (CMOS) manufacturing processes to produce high-performance optical transceivers with high yield at low-cost. The properties allow applications of optical transceivers (fiber optical technology to send and receive data) to be increasingly compelling across shorter distances.

More than three decades ago, physicist Richard Soref identified silicon as a promising material for photonic integration. Leading to the present-day steady development and rapid production of increasingly complex photonic integrated circuits (PICs). Researchers can integrate large numbers of massively-parallel compact energy-efficient optical components on a single chip for cloud computing applications from deep learning to artificial intelligence and the internet of things. Compared to the limited scope of commercial silicon photonic systems, photonic crystal (PhC) architectures promise smaller device sizes, although they are withheld by layout constraints imposed by waveguide requirements along the photonic crystal’s axis. Until recently, photonic band gap (PBG) structures that efficiently guide light were limited to photonic crystal platforms. Now, newer classes of PBG structures include photonic quasicrystals, hyperuniform disordered solids (HUDs) and local self-uniform structures.

Launching in late 2021, Lucy will be the first space mission to explore the Trojan asteroids. These are a population of small bodies that are left over from the formation of the solar system. They lead or follow Jupiter in their orbit around the Sun, and they may tell us about the origins of organic materials on Earth.

Lucy will fly by and carry out remote sensing on six different Trojan asteroids and will study surface geology, surface color and composition, asteroid interiors/bulk properties, and will look at the satellites and rings of the Trojans.

Underdog Pharma is developing disease-modifying treatments for atherosclerosis and other age-related diseases.

They want to prevent or reverse atherosclerosis by removing a harmful lipid known as 7-ketocholesterol (7KC) from the arterial walls.

Continue reading “Underdog Pharma Could Reverse Cardiovascular Disease Which is the Leading Medical Problem” »

In microbiology, an electroporator is a tool that allows scientists to apply electricity to a cell to temporarily breach its cell wall so you can introduce chemicals, drugs or DNA to the cell. These tools are extremely useful in the lab, but they’re also very expensive. They cost anywhere from roughly $3,000 to $10,000.

Researchers at Georgia Tech just revealed they’ve found a way to create an electroporator that costs next to nothing to make. Their research was just published in the journal PLOS Biology.

These researchers were able to create a version of the electroporator that can generate short bursts of more than 2,000 volts of electricity, which they named the “ElectroPen,” using a crystal from a common lighter, copper-plated wire, heat-shrinking wire insulator and aluminum tape. They then created a case for these components using a 3D printer. They claim you can assemble it within 15 minutes once you have all the pieces.