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Slaughter-free meat is finally starting to make the jump from the lab to the factory line.

As Singapore becomes the first country to allow the sale of cultured meat, more startups around the world are preparing to test production of lab-grown meats like beef and chicken in factories. While there’s a long way to go, it’s a crucial step in getting cell-based products ready for supermarket shelves.

Forget what you thought you knew about the universe.


Embrace the flow, says a duo of mechanical engineers at North Carolina State University—the flow of energy, that is. The mantra you might normally hear from your yoga instructor could be an entirely new way of looking at the universe.

🌌The universe is badass. Let’s explore it together.

It’s the two highly problematic trends, that the study relates here, that are important: The comparatively slow, but long-term, continuous human-induced reduction of the global biomass stock vis-à-vis the exponentially growing anthropogenic (human-made) mass,” Krausmann said by email. “Better knowledge about the dynamics and patterns of anthropogenic mass, and how it is linked to service provision and resource flows is key for sustainable development. The big question is how much anthropogenic mass do we need for a good life.


The year 2020 could be the year when human-made mass surpasses the overall weight of biomass — estimated to be roughly 1,100,000,000,000 tons, or 1.1 teratons — a milestone scientists say speaks to the enormous impact that humans have had on the planet.

The analysis was published Wednesday in the scientific journal Nature, and was conducted by a group of researchers from Israel’s Weizmann Institute of Science.

It’s happening at last.


For the first time, a major group of American scientists has agreed to work toward opening a nuclear fusion plant by the 2040s. The timeframe is intentional, letting scientists work on and learn from giant projects like Europe’s ITER and China’s EAST before designing a prototype of a fusion plant for the United States.

☢️ You love nuclear. So do we. Let’s nerd out over nuclear together.

Charles Darwin’s landmark opus “On the Origin of the Species” ends with a beautiful summary of his theory of evolution: “There is a grandeur in this view of life, with its several powers, having been originally breathed into a few forms or into one; and that, whilst this planet has gone cycling on according to the fixed law of gravity, from so simple a beginning endless forms most beautiful and most wonderful have been, and are being, evolved.” In fact, scientists now know that most species that have ever existed are extinct.

This has, on the whole, been roughly balanced by the origination of new ones over Earth’s history, with a few major temporary imbalances scientists call extinction events. Scientists have long believed that mass extinctions create productive periods of evolution, or “radiations,” a model called “creative destruction.” A new study led by scientists affiliated with the Earth-Life Science Institute (ELSI) at Tokyo Institute of Technology used machine learning to examine the co-occurrence of fossil species and found that radiations and extinctions are rarely connected, and thus mass extinctions likely rarely cause radiations of a comparable scale.

Creative destruction is central to classic concepts of evolution. It seems clear that there are periods in which many species suddenly disappear, and many new species suddenly appear. However, radiations of a comparable scale to the mass extinctions, which this study, therefore, calls the mass radiations, have received far less analysis than extinction events. This study compared the impacts of both extinction and radiation across the period for which fossils are available, the so-called Phanerozoic Eon. The Phanerozoic (from the Greek meaning “apparent life”), represents the most recent ~ 550-million-year period of Earth’s total ~4.5 billion-year history, and is significant to palaeontologists: Before this period, most of the organisms that existed were microbes that didn’t easily form fossils, so the prior evolutionary record is hard to observe.

Researchers at Hokkaido University and Amoeba Energy in Japan have, inspired by the efficient foraging behavior of a single-celled amoeba, developed an analog computer for finding a reliable and swift solution to the traveling salesman problem—a representative combinatorial optimization problem.

Many real-world application tasks such as planning and scheduling in logistics and automation are mathematically formulated as combinatorial optimization problems. Conventional digital computers, including supercomputers, are inadequate to solve these in practically permissible time as the number of candidate solutions they need to evaluate increases exponentially with the problem size—also known as combinatorial explosion. Thus new computers called Ising machines, including quantum annealers, have been actively developed in recent years. These machines, however, require complicated pre-processing to convert each task to the form they can handle and have a risk of presenting illegal solutions that do not meet some constraints and requests, resulting in major obstacles to the practical applications.

These obstacles can be avoided using the newly developed ‘electronic amoeba,’ an inspired by a single-celled amoeboid organism. The amoeba is known to maximize nutrient acquisition efficiently by deforming its body. It has shown to find an approximate solution to the (TSP), i.e., given a map of a certain number of cities, the problem is to find the shortest route for visiting each exactly once and returning to the starting city. This finding inspired Professor Seiya Kasai at Hokkaido University to mimic the dynamics of the amoeba electronically using an analog circuit, as described in the journal Scientific Reports. “The amoeba core searches for a solution under the electronic environment where resistance values at intersections of crossbars represent constraints and requests of the TSP,” says Kasai. Using the crossbars, the city layout can be easily altered by updating the resistance values without complicated pre-processing.