A deep-learning AI search for techno-signatures from 820 nearby stars is underway

In a new paper published in the journal Nature Astronomy, astronomers with Breakthrough Listen Initiative — the largest ever scientific research program aimed at finding evidence of alien civilizations — present a new machine learning-based method that they apply to more than 480 hours of data from the Robert C. Byrd Green Bank Telescope, observing 820 nearby stars. The method analyzed 115 million snippets of data, from which it identified around 3 million signals of interest. The authors then inspected the 20,515 signals and they identified 8 previously undetected signals of interest, although follow-up observations of these targets have not re-detected them.


“The key issue with any techno-signature search is looking through this huge haystack of signals to find the needle that might be a transmission from an alien world,” said Dr. Steve Croft, an astrophysicist at the University of California, Berkeley and a member of the Breakthrough Listen team. “The vast majority of the signals detected by our telescopes originate from our own technology — GPS satellites, mobile phones, and the like. Our algorithm gives us a more effective way to filter the haystack and find signals that have the characteristics we expect from techno-signatures.”


Classical techno-signature algorithms compare scans where the telescope is pointed at a target point on the sky with scans where the telescope moves to a nearby position, in order to identify signals that may be coming from only that specific point.

These techniques are highly effective. For example, they can successfully identify the Voyager 1 space probe, at a distance of 20 billion km, in observations with the Green Bank Telescope. But all of these algorithms struggle in crowded regions of the radio spectrum, where the challenge is akin to listening for a whisper in a crowded room.


The process developed by the team inserts simulated signals into real data, and trains an artificial intelligence algorithm known as an auto-encoder to learn their fundamental properties. The output from this process is fed into a second algorithm known as a random forest classifier, which learns to distinguish the candidate signals from the noisy background. “In 2021, our classical algorithms uncovered a signal of interest, denoted BLC1, in data from the Parkes telescope,” said Breakthrough Listen’s principal investigator Dr. Andrew Siemion, an astronomer at the University of California, Berkeley.

Read the full article at: www.sci.news

youChat – A new, open conversational AI platform like ChatGPT but additionally knows about recent events and can provide citations in its answers

youChat has similar capabilities as #chatGPT but advances the AI field of large language models by incorporating the you search and app platform. youChat knows about recent events and can provide citations for its answers.


  • With youChat, we hope to solve two issues in search
  • Making search more intuitive, helpful, and faster
  • Making LLMs more reliable


youChat is the 4th and biggest wave of generative AI within the @YouSearchEngine – this year alone, we’ve introduced generative AI models to create texts, code and images.
Eg: https://t.co/CNI8tos79O

youChat responds to your prompts like an AI sidekick that reads, writes, and summarizes information for you.


  • Get info in easy-to-understand sentences, not a list of links
  • Understand complex concepts
  • Get ideas for Christmas gifts, essay outlines, or coding problems


While youChat will be more often up-to-date and truthful than other large language models, it still makes mistakes. Hence we’re releasing this in beta. We hope that having citations, apps and web links alongside chat will enable users to verify facts easily.

This is just the beginning. A much improved version will be released soon with even more unique features. AI breakthroughs in in 2023 will completely change how people think about search engines.

Read the full article at: mem.ai

James Webb Space Telescope Uncovers New Details in the Pandora’s Cluster

Astronomers have revealed the latest deep field image from NASA’s James Webb Space Telescope, featuring never-before-seen details in a region of space known as Pandora’s Cluster (Abell 2744).


Webb’s view displays three clusters of galaxies – already massive – coming together to form a megacluster. The combined mass of the galaxy clusters creates a powerful gravitational lens, a natural magnification effect of gravity, allowing much more distant galaxies in the early universe to be observed by using the cluster like a magnifying glass.


Only Pandora’s central core has previously been studied in detail by NASA’s Hubble Space Telescope. By combining Webb’s powerful infrared instruments with a broad mosaic view of the region’s multiple areas of lensing, astronomers aimed to achieve a balance of breadth and depth that will open up a new frontier in the study of cosmology and galaxy evolution.


“The ancient myth of Pandora is about human curiosity and discoveries that delineate the past from the future, which I think is a fitting connection to the new realms of the universe Webb is opening up, including this deep-field image of Pandora’s Cluster,” said astronomer Rachel Bezanson of the University of Pittsburgh in Pennsylvania, co-principal investigator on the “Ultradeep NIRSpec and NIRCam ObserVations before the Epoch of Reionization” (UNCOVER) program to study the region.


“When the images of Pandora’s Cluster first came in from Webb, we were honestly a little star struck,” said Bezanson. “There was so much detail in the foreground cluster and so many distant lensed galaxies, I found myself getting lost in the image. Webb exceeded our expectations.” The new view of Pandora’s Cluster stitches four Webb snapshots together into one panoramic image, displaying roughly 50,000 sources of near-infrared light.

Read the full article at: www.nasa.gov

With ChatGPT, Bing wants to be your ‘AI-powered copilot for the web’

Microsoft will add contextual searches to Bing, powered by its own version of the ChatGPT algorithm. Microsoft will also integrate a separate, dedicated chat interface for Bing, complete with footnoted links. Finally, AI will be integrated into Edge, allowing to summarize a financial earnings report, for example. Bing’s new search engine interface is live, but to a limited number of people. It will expand in the coming weeks.



Read the full article at: www.pcworld.com

White Hole? Astronomer Have Discovered A Mysterious Object, Which Is 570 Billion Times Brighter Than Our Sun

So bright that it pushes the energy limits of physics.


Billions of light years away, there is a giant ball of hot gas that is brighter than hundreds of billions of suns. It is hard to imagine something so bright. So what is it? Astronomers are not really sure, but they have a couple theories. They think it may be a very rare type of supernova — called a magnetar — but one so powerful that it pushes the energy limits of physics, or in other words, the most powerful supernova ever seen as of today. This object is so luminous that astronomers are having a really difficult time finding a way to describe it.


“If it really is a magnetar, it’s as if nature took everything we know about magnetars and turned it up to 11,” said Krzysztof Stanek, professor of astronomy at Ohio State University and the team’s co-principal investigator, comedically implying it is off the charts on a scale of 1 to 10.The object was first spotted by the All Sky Automated Survey of Supernovae (ASAS-SN or “assassin”), which is a small network of telescopes used to detect bright objects in the universe. Although this object is ridiculously bright, it still can’t be seen by the naked eye because it is 3.8 billion light years away.

ASAS-SN, since it began in 2014, has discovered nearly 250 supernovae, however this discovery, ASASSN-15lh, stands out because of its sheer magnitude. It is 200 times more powerful than the average supernova, 570 billion times brighter than the sun, and 20 times brighter than all the stars in the Milky Way Galaxy combined. “We have to ask, how is that even possible?” said Stanek. “It takes a lot of energy to shine that bright, and that energy has to come from somewhere.”


Read the full article at: blog.physics-astronomy.com

MusicLM: Generating Music From Text

Abstract We introduce MusicLM, a model generating high-fidelity music from text descriptions such as “a calming violin melody backed by a distorted guitar riff”. MusicLM casts the process of conditional music generation as a hierarchical sequence-to-sequence modeling task, and it generates music…

Read the full article at: google-research.github.io