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School of Engineering welcomes new faculty

School of Engineering welcomes new faculty
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Israel General , Soult Ukpyolsi , South Korea , Harvard University , United States , Sendhil Mullainathan , Anantha Chandrakasan , Abigail Bodner , Andreea Bobu , Samantha Coday , Mitchell Gordon , Stephen Bates , Alex Rives , Sungho Shin , Gioele Zardini , Suraj Cheema , School Of Humanities , Boston Dynamics Ai Institute , Department Of Chemical Engineering , Computer Science Division At Argonne National Laboratory , York University , Media Lab , University Of Washington , Brown University , University Of Rochester , Broad Institute ,

Martin Claassen and Jiaoyang Huang named 2024 Sloan Research Fellows

Martin Claassen and Jiaoyang Huang named 2024 Sloan Research Fellows
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United States , Martin Claassen , Jiaoyang Huang , School Of Arts Sciences , Sloan Research Fellowships , Alfredp Sloan Foundation , Sloan Research Fellowship , Bernoulli Society New Researcher Award , Department Of Statistics , Wharton School , Department Of Energy Early Career Award , National Science Foundation , Department Of Physics , University Of Pennsylvania Martin Claassen , Research Fellowship , Energy Early Career , Data Science , National Science , Blavatnik Regional Awards , Simons Junior Fellow ,

Artificial intelligence classifies supernova explosions with unprecedented accuracy

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IMAGE: Cassiopeia A, or Cas A, is a supernova remnant located 10,000 light years away in the constellation Cassiopeia, and is the remnant of a once massive star that died in.
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Credit: Credit: NASA/JPL-Caltech/STScI/CXC/SAO
Cambridge, MA (December 17, 2020) Artificial intelligence is classifying real supernova explosions without the traditional use of spectra, thanks to a team of astronomers at the Center for Astrophysics | Harvard & Smithsonian. The complete data sets and resulting classifications are publicly available for open use.
By training a machine learning model to categorize supernovae based on their visible characteristics, the astronomers were able to classify real data from the Pan-STARRS1 Medium Deep Survey for 2,315 supernovae with an accuracy rate of 82-percent without the use of spectra. ....

United Kingdom , Ashley Villar , Verac Rubin , Harvard Smithsonian , Griffin Hosseinzadeh , Simons Junior Fellow At Columbia University , Medium Deep , Harvard Data Science Initiative , National Science Foundation , Deep Survey , Rubin Observatory , Simons Junior Fellow , Columbia University , Astrophysical Journal , ஒன்றுபட்டது கிஂக்டம் , ஆஷ்லே வில்லர் , ஹார்வர்ட் ஸ்மித்சோனியன் , சிமன்கள் ஜூனியர் சக இல் கொலம்பியா பல்கலைக்கழகம் , நடுத்தர ஆழமான , ஹார்வர்ட் தகவல்கள் அறிவியல் முயற்சி , தேசிய அறிவியல் அடித்தளம் , ஆழமான கணக்கெடுப்பு , ரூபின் கண்காணிப்பு , சிமன்கள் ஜூனியர் சக , கொலம்பியா பல்கலைக்கழகம் , வானியற்பியல் இதழ் ,