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

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.

Researchers Uncover 29 Malicious PyPI Packages Targeted Developers with W4SP Stealer

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.

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

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.

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

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?

Multiverses are everywhere. Or at least the theory is. Everyone from physicists Stephen Hawking and Brian Greene to Marvel superheroes have shown their support for the idea. But critics argue that not only is the multiverse improbable, it is also fantasy and fundamentally unscientific as the theory can never be tested — a requirement that has defined science from its outset.

Should we reject the grand claims and leave multiverse theories to the pages of comic books? Are tales of the multiverse really sticking-plaster solutions for Big Bang theory in trouble? Or should we take multiverse theory as seriously as its proponents, and accept that modern science has moved beyond the bounds of experiment and into that of imagination?

#TheMultiverseFantasy #BigBangTheoryProblem #SpaceTimeContinuum.

Michio Kaku is the co-founder of string field theory and the author of several books including several New York Times best sellers such as ‘The God Equation: The Quest for a Theory of Everything became.’ He is also professor of theoretical physics in the City College of New York and CUNY Graduate Center.

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

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.

Floppy or not: AI predicts properties of complex metamaterials

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.

LIVE — BECOMING: AN INTERACTIVE JOURNEY IN VR

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.

“Becoming” is the result of a collaborative work that was initiated at the Opera Hack organized by San Diego Opera. It is an operatic VR experience based on a Persian poem by Mowlana Rumi depicting the evolution of human spirit. The audience experiences visual, auditory and tactile impressions which are partly curated and partly generated interactively in response to the player’s actions.

“Becoming” incorporates fluid and reactive graphical material which embodies the process of transformation depicted in the Rumi poem. Worlds seamlessly morph between organic and synthetic environments such as oceans, mountains and cities and are populated by continuously evolving life forms. The music is a union of classical Persian music fused with electronic music where the human voice becomes the beacon of spirit across the different stages of the evolution. The various worlds are constructed by the real-time manipulation of particle systems, flocking algorithms and terrain generation methods—all of which can be touched and influenced by the viewer. Audience members can be connected through the network and haptic feedback technology provides human interaction cues as well as an experiential stimulus.

While the piece is a major artistic endeavor, it also showcases a number of key technologies and streaming techniques for the development of musical content in XR. The spatialization system Space3D, developed at Sonic Arts and implemented to run on advanced GPUs, is capable of creating highly realistic spatial impressions, and recreating the acoustics of the environment based on the virtual models in real-time using advanced multi-processing ray-tracing techniques.

“Becoming” premiered at SIGGRAPH 2022, Immersive Pavilion in Vancouver, Canada in August 2022. Opera America and San Diego Opera showcased an early preview of this work as part of the first Opera Hack presentations in 2020.

This New AI is a Game Changer!

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.


In this video I discuss new Deepmind’s AlphaTensor algorithm and why this work is so important for all the fields of Engineering!

Deepmind’s paper “Discovering faster matrix multiplication algorithms with reinforcement learning”:
https://www.nature.com/articles/s41586-022-05172-4

My Gear:

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

“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

For instance,’ Wright notes, theoretical physicist Paul Davies has suggested crowdsourcing the task of looking for alien structures or artifacts on the Moon by posting imaging data on a site like Zooniverse and looking for anomalies. Some researchers (led by Daniel Angerhausen) have instead trained machine-learning algorithms to recognize common terrain features, and report back things it doesn’t recognize, essentially automating that task. Sure enough, the algorithm can identify real signs of technology on the Moon—like the Apollo landing sites!

US Air Force and MIT commission a lead AI pilot for their innovative project

The project, known as DAF-MIT AI Accelerator, selected a pilot out of over 1,400 applicants.

The United States Air Force (DAF) and Massachusetts Institute of Technology (MIT) commissioned their lead AI pilot — a training program that uses artificial intelligence — in October 2022. The project utilizes the expertise at MIT and the Department of Air Force to research the potential of applying AI algorithms to advance the DAF and security.

The military department and the university created an artificial intelligence project called the Department of the Air Force-Massachusetts Institute of Technology Artificial Intelligence Accelerator (DAF-MIT AI Accelerator).

Full Story:


The project and the pilot

A prototype of the project was signed with an executive order in 2019, and it had various strategies put into place in 2020. The collective team, known as the DAF-MIT AI Accelerator, commissioned their lead AI pilot last month. “In this pilot, [the cohort] will gain a practical grounding in AI and its business applications helping you transform your organizations into the workforce of the future,” said Major John Radovan, deputy director of the AIA.

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