Astrophysicists Use Supercomputer to Uncover Secrets of Universal Dark Matter

Fugaku supercomputer at the Riken Center for Computational Science in Kobe, JapanJIJI PRESS/AFP via Getty Images
Fugaku supercomputer at the Riken Center for Computational Science in Kobe, JapanJIJI PRESS/AFP via Getty Images
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Astrophysicists Use Supercomputer to Uncover Secrets of Universal Dark Matter

Fugaku supercomputer at the Riken Center for Computational Science in Kobe, JapanJIJI PRESS/AFP via Getty Images
Fugaku supercomputer at the Riken Center for Computational Science in Kobe, JapanJIJI PRESS/AFP via Getty Images

Visible matter constitutes only 16% of the universe's total mass. Little is known about the nature of the rest of that mass, which referred to as dark matter. Even more surprising is the fact that the universe's total mass accounts for only 30% of its energy. The rest is dark energy, which is totally unknown but is responsible for the universe's accelerated expansion.

To find out more about dark matter and dark energy, astrophysicists use large-scale surveys of the universe or detailed studies of the properties of galaxies. But they can only interpret their observations by comparing them to predictions by theoretical models of dark matter and dark energy. But these simulations take tens of millions of computing hours on supercomputers.

Using the Joliot-Curie supercomputer, a team of astrophysicists from the French Alternative Energies and Atomic Energy Commission (CEA), Sorbonne Université, and Université Paris-Saclay, run a simulation of the evolution of cosmic structures from the first few moments after the Big Bang to the present day. They managed to describe the intergalactic regions, which represent 90% of the Universe's volume in unprecedented resolution. The findings were published in the recent issue of the journal Monthly Notices of the Royal Astronomical Society.

According to a report published Saturday on the CEA website, the simulation's high resolution in low density regions meant that it was able to describe cold gas accretion by galaxies and the formation of ultra-compact massive galaxies when the universe was only 2 to 3 billion years old. This step, which was only possible through a simulation on the supercomputer, helps establish the grounds to understand dark matter and dark energy.

The supercomputer offers a computing power of 22 petaflops, and the volume of numerical data processed exceeded 3TB at each step of the computation. The Joliot-Curie supercomputer was designed by the company Atos for GENCI (the French high-performance computing center).



Microsoft Rejigs Reporting on Business Units, Offers Clarity on AI Benefits

A Microsoft logo is seen in Los Angeles, California US November 7, 2017. (Reuters)
A Microsoft logo is seen in Los Angeles, California US November 7, 2017. (Reuters)
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Microsoft Rejigs Reporting on Business Units, Offers Clarity on AI Benefits

A Microsoft logo is seen in Los Angeles, California US November 7, 2017. (Reuters)
A Microsoft logo is seen in Los Angeles, California US November 7, 2017. (Reuters)

Microsoft on Wednesday restructured how it reports results for its business units, moving some search and news advertising revenue under the Azure cloud-computing unit as the tech giant looks to offer investors a clearer picture on AI contributions.

The company said revenue from the AI and speech technology services that its Nuance unit offers would now come under its productivity business - home to the Office suite of apps - instead of the intelligent cloud division.

The rejig will allow Microsoft to align the reporting structure with how its businesses are managed, it said.

As a result, the company restated revenue growth at its divisions for the last fiscal year and revised its forecast for July-September quarter.

Big tech companies, including Microsoft and Google, are facing investor pressure to show that the billions of dollars they have been investing in AI infrastructure would pay off, Reuters reported.

Microsoft is one of the few big companies that break out AI contributions in their quarterly earnings, as most firms are yet to see a big boost from AI investments.

The Windows maker reported last month AI provided a bigger boost to Azure in the June quarter, even as overall business slowed. Microsoft expects Azure's growth to accelerate in the second half of fiscal 2025.

The company expects intelligent cloud revenue to be between $23.80 billion and $24.10 billion in the first quarter, compared with its prior expectations of $28.6 billion and $28.9 billion.

Quarterly revenue at its personal computing segment is expected between $12.25 billion and $12.65 billion, compared with its earlier view of $14.9 billion and $15.3 billion, after the company moved some units from the business to the productivity division.

Productivity and business processes revenue is expected to be between $27.75 billion and $28.05 billion, compared with $20.3 billion and $20.6 billion previously.