A new analysis of data from NASA’s Kepler telescope has revealed a treasure trove of 20 extraterrestrial worlds astronomers say could hold life.
The new analysis includes several planets that orbit stars similar to our sun.
They include KOI-7923.01, an exoplanet 97 per cent the size of Earth, but colder.
A supermassive dark opening isn’t the best place to live. Notwithstanding, there are physicists who think about existence existing in such outrageous spots and likely effectively occupied by some most progressive races – super outsiders. “Insides of super gigantic dark openings might be occupied by cutting edge human advancements living on planets with the third-kind circles,” Russian cosmologist Vyacheslav I. Dokuchaev at Moscow’s Institute for Nuclear Research of the Russian Academy of Sciences writes in his paper distributed in Cornell University’s online diary arXiv. “We could live inside a super gigantic dark gap in the long run… yet super-outsiders may have effectively outsmarted us,” claims Dokuchaev. His dubious hypothesis did not depend on sci-fi yet on Einstein’s speculations.
New NASA research is helping to refine our understanding of candidate planets beyond our solar system that might support life.
“Using a model that more realistically simulates atmospheric conditions, we discovered a new process that controls the habitability of exoplanets and will guide us in identifying candidates for further study,” said Yuka Fujii of NASA’s Goddard Institute for Space Studies (GISS), New York, New York and the Earth-Life Science Institute at the Tokyo Institute of Technology, Japan, lead author of a paper on the research published in the Astrophysical Journal Oct. 17.
Are AI aliens watching Earth? An immortal machine civilization could already exist and may be BILLIONS of years old, leading expert claims…
Artificial intelligence could already exist elsewhere in the universe and may have been around for billions of years, according to a leading expert.
Susan Schneider of the University of Connecticut believes other civilisations could rely on forms of alien super-intelligence we haven’t yet created on Earth.
#AI The Machine Learning 4 SETI Code Challenge (ML4SETI), created by the SETI Institute and IBM, was completed on July 31st 2017. Nearly 75 participants, with a wide range of backgrounds from industry and academia, worked in teams on the project. The top team achieved a signal classification accuracy of 95%. The code challenge was sponsored by IBM, Nimbix Cloud, Skymind, Galvanize, and The SETI League.
The Machine Learning 4 SETI Code Challenge (ML4SETI), created by the SETI Institute and IBM, was completed on July 31st 2017. Nearly 75 participants, with a wide range of backgrounds from industry and academia, worked in teams on the project. The top team achieved a signal classification accuracy of 95%. The code challenge was sponsored by IBM, Nimbix Cloud, Skymind, Galvanize, and The SETI League.
The ML4SETI project challenged participants to build a machine-learning model to classify different signal types observed in radio-telescope data for the search for extra-terrestrial intelligence (SETI). Seven classes of signals were simulated (and thus, labeled), with which citizen scientists trained their models. We then measured the performance of these models with tests sets in order to determine a winner of the code challenge. The results were remarkably accurate signal classification models. The models from the top teams, using deep learning techniques, attained nearly 95% accuracy in signals from the test set, which included some signals with very low amplitudes. These models may soon be used in daily SETI radio signal research.
Deep learning models trained for signal classification may significantly impact how SETI research is conducted at the Allen Telescope Array, where the SETI Institute conducts its radio-signal search. More robust classification should allow researchers to improve the efficiency of observing each star system and allow for new ways to implement their search.
London-based AI start-up REZIINE has published the entire explanation and framework design for the creation of consciousness in machines.
“Consciousness Illuminated and the Reckoning of Physics” – a 525-page document – features:
Describing the compact definition of consciousness as “the ability to make illogical decisions based on personal values”, founder, Corey Reaux-Savonte, goes on to say:
If consciousness is the ability to make illogical decisions based on personal values, …
Read the full story at LinkedIN
Galaxy Quest, the cult movie beloved by sci-fi fans for its gentle mocking of, well, sci-fi fans, is back on track as a rebooted TV series for Amazon, THR reports. The revival was originally revealed in 2015, but plans were put on hold after the death of original cast-member Alan Rickman, who was to reprise his role in the news series. It’s now on again, with writer/actor/comedian Paul Scheer (The Disaster Artist, Veep) set to write the script.
The original 1999 film was a mild success, grossing $90 million, but has since become a cult classic. Starring Tim Allen, Sigourney Weaver, Alan Rickman and Tony Shalhoub, it follows the cast of a fictional Star Trek-like TV show called Galaxy Quest. After it’s canceled, they make their living via conventions, but are suddenly visited by actual aliens who believe the show is a documentary. The crew subsequently becomes mixed up in a serious galactic conflict and pulls together despite deep-seated resentments, with the help of devoted fans.
By Grabthar’s Hammer, I will write thee. https://t.co/LLuRumTW6u— Paul Scheer (@paulscheer) August 17, 2017
