Chapter I. Why you should learn about non-Euclidean ML. “Machine Learning in a Non-Euclidean Space” is published by Mastafa Foufa in Towards Data Science.
Category: space – Page 231
Using data from the Spitzer space observatory, Dr. Susana Iglesias-Groth, a researcher from The Instituto de Astrofísica de Canarias (IAC), has found evidence for the existence of the amino acid tryptophan in the interstellar material in a nearby star-forming region. The research is published in Monthly Notices of the Royal Astronomical Society.
High amounts of tryptophan were detected in the Perseus molecular complex, specifically in the IC348 star system, a star-forming region that lies 1,000 light years away from Earth—relatively close in astronomical terms. The region is generally invisible to the naked eye, but shines brightly when viewed in infrared wavelengths.
Tryptophan is one of the 20 amino acids essential for the formation of key proteins for life on Earth, and produces one of the richest pattern of spectral lines in the infrared. It was therefore an obvious candidate to be explored using the extensive spectroscopic database of the Spitzer satellite, a space-based infrared telescope.
“Learn to code.” That three-word pejorative is perpetually on the lips and at the fingertips of internet trolls and tech bros whenever media layoffs are announced. A useless sentiment in its own right, but with the recent advent of code generating AIs, knowing the ins and outs of a programming language like Python could soon be about as useful as knowing how to fluently speak a dead language like Sanskrit. In fact, these genAIs are already helping professional software developers code faster and more effectively by handling much of the programming grunt work.
Two of today’s most widely distributed and written coding languages are Java and Python. The former almost single handedly revolutionized cross-platform operation when it was released in the mid-’90s and now drives “everything from smartcards to space vehicles,” as Java Magazine put it in 2020 — not to mention Wikipedia’s search function and all of Minecraft. The latter actually predates Java by a few years and serves as the code basis for many modern apps like Dropbox, Spotify and Instagram.
They differ significantly in their operation in that Java needs to be compiled (having its human-readable code translated into computer-executable machine code) before it can run. Python, meanwhile, is an interpreted language, which means that its human code is converted into machine code line-by-line as the program executes, enabling it to run without first being compiled. The interpretation method allows code to be more easily written for multiple platforms while compiled code tends to be focused to a specific processor type. Regardless of how they run, the actual code-writing process is nearly identical between the two: Somebody has to sit down, crack open a text editor or Integrated Development Environment (IDE) and actually write out all those lines of instruction. And until recently, that somebody typically was a human.
NASA and other space agencies have captured vivid images of galaxies, planets, moons, stars, and beyond in 2023. Here are some of the most stunning cosmic photos, so far.
If those two examples didn’t make you feel like an underachiever, we now have news of yet another child prodigy. AP reported on Alena Wicker, a 12-year-old who has been accepted to Arizona State University (ASU) and who aims to become a NASA engineer by age 16.
Comet Swan and its 11 million mile long tail will be visible in the night sky from tonight and you may be able to see it with the naked eye, astronomers say.
NASA’s JunoCam captured green lightning near Jupiter’s north pole. See the spectacular image and learn why lighting on the Gas Giant is green.
Debris field found — the crew perished in a catastrophic implosion. What are the lessons to be learned from this? How does this apply to future space, stratospheric, and oceanic tourism?
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A new photonic quantum computer takes just 36 microseconds to perform a task that would take a conventional supercomputer more than 9,000 years to complete. The new device, named Borealis, is the first quantum computer from a startup to display such “quantum advantage” over regular computers. Borealis is also the first machine capable of quantum advantage to be made available to the public over the cloud.
Quantum computers can theoretically achieve a quantum advantage that enables them to find the answers to problems no classical computers could ever solve. The more components known as qubits that a quantum computer has, the greater its computational power can grow, in an exponential fashion.
Many companies, including giants such as Google, IBM, and Amazon as well as startups such as IonQ, rely on qubits based on superconducting circuits or trapped ions. One drawback with these approaches is that they both demand temperatures colder than those found in deep space, because heat can disrupt the qubits. The expensive, bulky cryogenic systems required to hold qubits at such frigid temperatures can also make it a major challenge to scale these platforms up to high numbers of qubits—or to smaller and more portable form factors.
On this day 52 years ago, Neil Armstrong and Buzz Aldrin walked on the Moon. Here’s what they said about “The Overview Effect” and how it transforms the way you think forever.
Have you heard of the overview effect? It’s an interesting phenomenon that, for the time being, is exclusively reserved for astronauts. It refers to the overwhelming feeling astronauts get when witnessing for the first time the Earth from space.
It was first experienced by Yuri Gagarin in April 1961 when he became the first human to orbit the Earth. The event led him to marvel at Earth’s beauty, saying, “People of the world, let us safeguard and enhance this beauty, and not destroy it.”
Eight years later, Neil Armstrong, Buzz Aldrin, and Michael Collins, all astronauts walking on the Moon, also reported feeling a profound and stunning sense of clarity when first witnessing the Earth from so far.