Evidence of disturbed gene activity in the brain as a result of heart problems. Researchers at the German Center for Neurodegenerative Diseases (DZNE), the University Medical Center Göttingen (UMG) and the German Center for Cardiovascular Research (DZHK) come to this conclusion based on laboratory studies. They consider that they have found a possible cause for the increased risk of dementia in people with heart problems. In mice, a specific drug which is known to affect gene activity alleviated the mental deficits. The involved experts see these results as potential approaches for therapies. The study data are published in the scientific journal EMBO Molecular Medicine.

In Germany, about four million people are affected by what is called “heart failure”: Their heart muscle is too...

The total amount of data generated worldwide is expected to reach 175 zettabytes (1 ZB equals 1 billion terabytes) by 2025. If 175 ZB were stored on Blu-ray disks, the stack would be 23 times the distance to the moon. There is an urgent need to develop storage technologies that can accommodate this enormous amount of data.

The demand to store ever-increasing volumes of information has resulted in the widespread implementation of data centers for Big Data. These centers consume massive amounts of energy (about 3% of global electricity supply) and rely on magnetization-based harddisk drives with limited storage capacity (up to 2 TB per disk) and lifespan (three to five years)...

Researchers have detected cosmic pipelines supplying the cold gases necessary for the formation of massive galaxies and the creation of stars. It is the first direct observational evidence of the phenomenon in the early universe.

To come into being, galaxies need a steady diet of cold gases to undergo gravitational collapse. The larger the galaxy, the more cold gas it needs to coalesce and to grow.

Massive galaxies found in the early universe needed a lot of cold gas — a store totaling as much as 10...

Responding to artificial intelligence’s exploding demands on computer networks, Princeton University researchers in recent years have radically increased the speed and slashed the energy use of specialized AI systems. Now, the researchers have moved their innovation closer to 0003Verma, a professor of electrical and computer engineering at Princeton and a leader of the research team. “The hope is that designers can keep using the same software system — and just have it work ten times faster or more efficiently.”