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One of the most exciting features in Bluetooth 6.0 is called “Channel Sounding,” which makes it possible to locate lost devices and/or other objects with much more precision than previous versions of Bluetooth. In fact, you’ll be able to locate them down to the centimeter.

And this device detection feature isn’t just for close-range uses — it will be able to work across long distances and be just as effective. If it lives up to the hype, this improvement could significantly improve devices like Apple’s AirTag and apps like Google’s Find My Device.

Bluetooth 6.0’s Channel Sounding could even find its way into more types of devices that need protection against loss, such as remote controls (which somehow tend to disappear without a trace).

Why do we study Mars? What missions have been there? How do we plan to explore this intriguing world in the future? Quench your curiosity with this educational infographic on the Red Planet!


For thousands of years, Mars aka the Red Planet, has fascinated skywatchers from countless civilizations and cultures, leading some to speculate that it was a lush world full of life. However, the exploration of Mars has proven to be quite the contrast, instead exhibiting a dry and inhabitable world utterly devoid of life. Despite this, scientists and engineers from around the world have learned quite a bit from our planetary neighbor with the countless robotic explorers sent there, including flybys, orbiters, landers, and rovers.

Through this, we have gained incredible insight into the ancient history of Mars and whether life might have existed there long ago. In the future, as humanity looks to return the first samples from Mars and land humans on the Red Planet’s surface, we will continue to learn more about this fascinating world and whether it could have, or currently, hosts life as we know it.

The Road To Wisdom — Dr. Francis Collins, MD, PhD — Former Director, National Institutes of Health (NIH); Distinguished Investigator, Center for Precision Health Research, National Human Genome Research Institute.


Dr. Francis S. Collins, M.D., Ph.D., (https://www.francisscollins.com/) is the former Director of the U.S. National Institutes of Health (NIH), where as the longest serving director of NIH (spanning 12 years and three presidencies) he oversaw the work of the largest supporter of biomedical research in the world, from basic to clinical research.

Dr. Collins continues to serve as NIH Distinguished Investigator.

AI can enhance legal efficiency and productivity, but it cannot replace the essential human skills, judgment, and personal involvement required in law practice.

Questions to inspire discussion.

AI’s Impact on Legal Processes.
🤖Q: How can AI streamline legal work? A: AI can streamline document review, legal research, and contract analysis, potentially saving time and reducing costs, but requires accurate databases of serious legal precedent to avoid errors.

Transistors, the building blocks of integrated circuits, face growing challenges as their size decreases. Developing transistors that use novel operating principles has become crucial to enhancing circuit performance.

Hot carrier transistors, which utilize the excess kinetic energy of carriers, have the potential to improve the speed and functionality of transistors. However, their performance has been limited by how hot carriers have traditionally been generated.

A team of researchers led by Prof. Liu Chi, Prof. Sun Dongming, and Prof. CHeng Huiming from the Institute of Metal Research (IMR) of the Chinese Academy of Sciences has proposed a novel hot carrier generation mechanism called stimulated emission of heated carriers (SEHC).

Researchers at Johannes Gutenberg University Mainz (JGU) have managed to enhance the framework of Brownian reservoir computing by recording and transferring hand gestures to the system which then used skyrmions to detect these individual gestures.

“We were impressed to see that our hardware approach and concept worked so well – and even better than energy-intensive software solutions that employ neural networks,” said Grischa Beneke, a member of Professor Mathias Kläui’s research group at the JGU Institute of Physics.

In collaboration with other experimental and theoretical physicists, Beneke was able to demonstrate that simple hand gestures can be recognized by means of Brownian reservoir computing with a relatively high degree of precision.