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Islands Sounder

Meeting of the Minds: ‘Einstein’s Cat’

Join the Orcas Senior Center for a brief history of telegraphy and its local relevance. By the late nineteenth century, the telegraph was essential to communication and commerce, similar to the internet today. Ambitious people created the opportunity for the telegraph to arrive here in the PNW in 1866, in time to serve the needs of the American and British forces jointly occupying the San Juans.
SCIENCE
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dailygalaxy.com

Dark Energy May Not Be the Cosmological Constant as Theorized by Einstein

In 1917, Albert Einstein originally included a cosmological constant in his field equations of general relativity in order to achieve a steady-state static Universe. Shortly after Edwin Hubble’s discovery of the expanding Universe in 1929, Einstein removed the cosmological constant, calling it the “greatest blunder of my life”. In the late 1990s, astronomers measured the distances to extremely distant exploding supernovae and discovered that the Universe is actually accelerating (not just expanding), and therefore reintroduced the extra dark energy vacuum term in the cosmological equations.
ASTRONOMY

Einstein alum Arnold Ebiketie drafted by Falcons

WASHINGTON (WDVM) – With the 38th overall pick in the second round of the 2022 NFL draft, the Atlanta Falcons selected Einstein high school alum Arnold Ebiketie, a defensive end from Penn State. Ebiketie is the first Einstein alum drafted to the NFL ever. “If I made it that far, it’s possible they can do […]
ATLANTA, GA
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chicagotheaterandarts.com

Einstein and Picasso view the world at Citadel Theatre

It may be hard to imagine what a conversation would be like between Albert Einstein and Pablo Picasso if the two 20th century geniuses met in a Parisian bar before they achieved international fame. Comedic actor/screenwriter Steve Martin conceived just such a scenario taking place in 1904 in “Picasso at...
CHICAGO, IL
Science Daily

In Einstein's footsteps and beyond

Harvard John A. Paulson School of Engineering and Applied Sciences. In physics, as in life, it's always good to look at things from different perspectives. Since the beginning of quantum physics, how light moves and interacts with matter around it has mostly been described and understood mathematically through the lens of its energy. In 1900, Max Planck used energy to explain how light is emitted by heated objects, a seminal study in the foundation of quantum mechanics. In 1905, Albert Einstein used energy when he introduced the concept of photon.
SCIENCE
WMUR.com

Happy Birthday, Einstein! Miniature horse born in New Hampshire turns 12

BARNSTEAD, N.H. — A miniature horse famous for being the world’s smallest horse at birth is celebrating its 12th birthday. Einstein was born in New Hampshire on April 22, 2010, and weighed an astonishingly small 6 pounds and stood 14 inches tall, setting a world record as the planet’s smallest newborn horse. He was three pounds lighter than the previous record holder.
ANIMALS
Nature.com

Einstein"“Roscoe regression for the slag viscosity prediction problem in steelmaking

In classical machine learning, regressors are trained without attempting to gain insight into the mechanism connecting inputs and outputs. Natural sciences, however, are interested in finding a robust interpretable function for the target phenomenon, that can return predictions even outside of the training domains. This paper focuses on viscosity prediction problem in steelmaking, and proposes Einstein"“Roscoe regression (ERR), which learns the coefficients of the Einstein"“Roscoe equation, and is able to extrapolate to unseen domains. Besides, it is often the case in the natural sciences that some measurements are unavailable or expensive than the others due to physical constraints. To this end, we employ a transfer learning framework based on Gaussian process, which allows us to estimate the regression parameters using the auxiliary measurements available in a reasonable cost. In experiments using the viscosity measurements in high temperature slag suspension system, ERR is compared favorably with various machine learning approaches in interpolation settings, while outperformed all of them in extrapolation settings. Furthermore, after estimating parameters using the auxiliary dataset obtained at room temperature, an increase in accuracy is observed in the high temperature dataset, which corroborates the effectiveness of the proposed approach.