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Finding the hypothetical particle axion could mean finding out for the first time what happened in the Universe a second after the Big Bang, suggests a new study published in Physical Review D.

How far back into the Universe’s past can we look today? In the electromagnetic spectrum, observations of the Cosmic Microwave Background — commonly referred to as the CMB — allow us to see back almost 14 billion years to when the Universe cooled sufficiently for protons and electrons to combine and form neutral hydrogen. The CMB has taught us an inordinate amount about the evolution of the cosmos, but photons in the CMB were released 400000 years after the Big Bang making it extremely challenging to learn about the history of the universe prior to this epoch.

To open a new window, a trio of theoretical researchers, including Kavli Institute for the Physics and Mathematics of the Universe (Kavli IPMU) Principal Investigator, University of California, Berkeley, MacAdams Professor of Physics and Lawrence Berkeley National Laboratory senior faculty scientist Hitoshi Murayama, Lawrence Berkeley National Laboratory physics researcher and University of California, Berkeley, postdoctoral fellow Jeff Dror (now at University of California, Santa Cruz), and UC Berkeley Miller Research Fellow Nicholas Rodd, looked beyond photons, and into the realm of hypothetical particles known as axions, which may have been emitted in the first second of the Universe’s history.

Generational shifts in the workforce are creating a loss of operational expertise. Veteran workers with years of institutional knowledge are retiring, replaced by younger employees fresh out of school, taught on technologies and concepts that don’t match the reality of many organizations’ workflows and systems. This dilemma is fueling the need for automated knowledge sharing and intelligence-rich applications that can close the skills gap.

Industrial organizations are accumulating massive volumes of data but deriving business value from only a small slice of it. Transient repositories like data lakes often become opaque and unstructured data swamps. Organizations are switching their focus from mass data accumulation to strategic industrial data management, homing in on data integration, mobility, and accessibility—with the goal of using AI-enabled technologies to unlock value hidden in these unoptimized and underutilized sets of industrial data. The rise of the digital executive (chief technology officer, chief data officer, and chief information officer) as a driver of industrial digital transformation has been a key influence on this trend.

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The middle and working classes have seen a steady decline in their fortunes. Sending jobs to foreign countries, the hollowing out of the manufacturing sector, pivoting toward a service economy and the weakening of unions have been blamed for the challenges faced by a majority of Americans.

There’s an interesting, compelling and alternative explanation. According to a new academic research study, automation technology has been the primary driver in U.S. income inequality over the past 40 years. The report, published by the National Bureau of Economic Research, claims that 50% to 70% of changes in U.S. wages, since 1980, can be attributed to wage declines among blue-collar workers who were replaced or degraded by automation.

Artificial intelligence, robotics and new sophisticated technologies have caused a wide chasm in wealth and income inequality. It looks like this issue will accelerate. For now, college-educated, white-collar professionals have largely been spared the fate of degreeless workers. People with a postgraduate degree saw their salaries rise, while “low-education workers declined significantly.” According to the study, “The real earnings of men without a high-school degree are now 15% lower than they were in 1980.”

Kerbal Space Program has now been out for a full 10 years, progressing alongside the space industry and the various people that operate within it. This documentary-style video takes a look at the people that have been influenced, inspired, and introduced to the wonder of space exploration by this bizarre game about little green beings, created by a small group of developers in Mexico City.

We want to thank you, the community, for helping us turn KSP into the launchpad for the next generation of space explorers!

https://www.kerbalspaceprogram.com/game/kerbal-space-program/

Don’t miss another KSP launch!
http://kerbalspaceprogram.com.
http://facebook.com/KerbalSpaceProgram.

https://www.instagram.com/kerbalspacep.
https://www.youtube.com/KerbalSPOfficial

Smart strategies like this can help workers learn to embrace technological change. If the government helps people plan their next move if and when they’re no longer needed in their current job, workers will be able to roll with the economy’s punches more easily. Combined with national health insurance, education and retraining assistance — and a robust unemployment insurance system — it could make terror of job loss a thing of the past.


The U.S. government must assuage people’s anxiety about technology upending their working lives, in part by helping them forge new career paths.

It was the third round of announcements Scott has made regarding her philanthropy, which rivals the largest of foundations. In 2020, she made two similar surprise announcements and donated about $6bn to causes including Covid relief, gender equity, historically Black colleges and universities and other schools.


Ex-wife of Jeff Bezos gives to 286 groups and says she wants to donate ‘fortune that was enabled by systems in need of change’