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Archive for the ‘information science’ category: Page 68

Nov 8, 2022

Digital Doubles and Second Selves

Posted by in categories: augmented reality, automation, big data, computing, cyborgs, evolution, futurism, information science, innovation, internet, life extension, machine learning, neuroscience, posthumanism, robotics/AI, singularity, software, supercomputing

This time I come to talk about a new concept in this Age of Artificial Intelligence and the already insipid world of Social Networks. Initially, quite a few years ago, I named it “Counterpart” (long before the TV series “Counterpart” and “Black Mirror”, or even the movie “Transcendence”).

It was the essence of the ETER9 Project that was taking shape in my head.

Over the years and also with the evolution of technologies — and of the human being himself —, the concept “Counterpart” has been getting better and, with each passing day, it makes more sense!

Imagine a purely digital receptacle with the basics inside, like that Intermediate Software (BIOS(1)) that computers have between the Hardware and the Operating System. That receptacle waits for you. One way or another, it waits patiently for you, as if waiting for a Soul to come alive in the ether of digital existence.

Continue reading “Digital Doubles and Second Selves” »

Nov 7, 2022

What is “early dark energy” and can it save the expanding Universe?

Posted by in categories: cosmology, information science, physics

You can imagine starting at the beginning, evolving the Universe forward according to the laws of physics, and measuring those earliest signals and their imprints on the Universe to determine how it has expanded over time. Alternatively, you can imagine starting here and now, looking out at the distant objects as we see them receding from us, and then drawing conclusions as to how the Universe has expanded from that.

Both of these methods rely on the same laws of physics, the same underlying theory of gravity, the same cosmic ingredients, and even the same equations as one another. And yet, when we actually perform our observations and make those critical measurements, we get two completely different answers that don’t agree with one another. This is, in many ways, the most pressing cosmic conundrum of our time. But there’s still a possibility that no one is mistaken and everyone is doing the science right. The entire controversy over the expanding Universe could go away if just one new thing is true: if there was some form of “early dark energy” in the Universe. Here’s why so many people are compelled by the idea.

Nov 6, 2022

Researchers Uncover 29 Malicious PyPI Packages Targeted Developers with W4SP Stealer

Posted by in categories: cybercrime/malcode, information science

Cybersecurity researchers have uncovered 29 packages in Python Package Index (PyPI), the official third-party software repository for the Python programming language, that aim to infect developers’ machines with a malware called W4SP Stealer.

“The main attack seems to have started around October 12, 2022, slowly picking up steam to a concentrated effort around October 22,” software supply chain security company Phylum said in a report published this week.

The list of offending packages is as follows: typesutil, typestring, sutiltype, duonet, fatnoob, strinfer, pydprotect, incrivelsim, twyne, pyptext, installpy, faq, colorwin, requests-httpx, colorsama, shaasigma, stringe, felpesviadinho, cypress, pystyte, pyslyte, pystyle, pyurllib, algorithmic, oiu, iao, curlapi, type-color, and pyhints.

Nov 6, 2022

Ethical AI Team Says Bias Bounties Can More Quickly Expose Algorithmic Flaws

Posted by in categories: cybercrime/malcode, information science, robotics/AI

Bias in AI systems is proving to be a major stumbling block in efforts to more broadly integrate the technology into our society.

A new initiative that will reward researchers for finding any prejudices in AI systems could help solve the problem.

The effort is modeled on the bug bounties that software companies pay to cybersecurity experts who alert them of any potential security flaws in their products.

Nov 5, 2022

Should we abandon the multiverse theory? | Sabine Hossenfelder, Roger Penrose, Michio Kaku

Posted by in categories: cosmology, information science, physics

What is driving the mulitverse theory? Are the multiverse stories only a sticky-plaster solution to the Big Bang theory problem? Leading thinkers Sabine Hossenfelder, Roger Penrose and Michio Kaku debate.

00:00 Introduction.
02:22 Michio Kaku | Multiverse theory has now dominating cosmology; it is unavoidable.
06:03 Sabine Hossenfelder | Believing in the multiverse is the logical equivalent to believing in God.
07:57 Roger Penrose | Universes are sequential and so are not independent worlds.
16:36 Theme 1 | Do scientifc theories need to be testable?
28:45 Theme 2 | Are tales of the multiverse solutions to the Big Bang theory in trouble?
42:49 Theme 3 | Will theories of the universe always be bound by untestable elements?

Continue reading “Should we abandon the multiverse theory? | Sabine Hossenfelder, Roger Penrose, Michio Kaku” »

Nov 5, 2022

Research team reconstructs gravity to find a more robust way of understanding the cosmos

Posted by in categories: cosmology, information science

Scientists from around the world have reconstructed the laws of gravity, to help get a more precise picture of the universe and its constitution.

The standard model of is based on General Relativity, which describes gravity as the curving or warping of space and time. While the Einstein equations have been proven to work very well in our solar system, they had not been observationally confirmed to work over the entire .

An international team of cosmologists, including scientists from the University of Portsmouth in England, has now been able to test Einstein’s theory of gravity in the outer-reaches of space.

Nov 4, 2022

Floppy or not: AI predicts properties of complex metamaterials

Posted by in categories: information science, robotics/AI

Given a 3D piece of origami, can you flatten it without damaging it? Just by looking at the design, the answer is hard to predict, because each and every fold in the design has to be compatible with flattening.

This is an example of a combinatorial problem. New research led by the UvA Institute of Physics and research institute AMOLF has demonstrated that machine learning algorithms can accurately and efficiently answer these kinds of questions. This is expected to give a boost to the artificial intelligence-assisted design of complex and functional (meta)materials.

In their latest work, published in Physical Review Letters this week, the research team tested how well (AI) can predict the properties of so-called combinatorial mechanical metamaterials.

Nov 3, 2022

LIVE — BECOMING: AN INTERACTIVE JOURNEY IN VR

Posted by in categories: cybercrime/malcode, information science, media & arts, particle physics, virtual reality

Gallery QI — Becoming: An Interactive Music Journey in VR — Opening Night.
November 3rd, 2022 — Atkinson Hall auditorium.
UC San Diego — La Jolla, CA

By Shahrokh Yadegari, John Burnett, Eito Murakami and Louis Pisha.

Continue reading “LIVE — BECOMING: AN INTERACTIVE JOURNEY IN VR” »

Nov 3, 2022

This New AI is a Game Changer!

Posted by in categories: information science, robotics/AI, singularity

One small step for a machine… one giant leap for the singularity.

This AI actually improved a key algorithm that makes it run even faster.

Continue reading “This New AI is a Game Changer!” »

Nov 2, 2022

Will AI Reveal Extraterrestrial Intelligence Far Beyond Our Level of Consciousness?

Posted by in categories: alien life, information science, robotics/AI

“Machine learning provides a way of providing almost human-like intuition to huge data sets. One valuable application is for tasks where it’s difficult to write a specific algorithm to search for something—human faces, for instance, or perhaps ” something strange,” wrote astrophysicist and Director of the Penn State University Extraterrestrial Intelligence Center, Jason Wright in an email to The Daily Galaxy. ” In this case, you can train a machine-learning algorithm to recognize certain things you expect to see in a data set,” Wright explains, ” and ask it for things that don’t fit those expectations, or perhaps that match your expectations of a technosignature.

Crowdsourcing Alien Structures

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