China has accelerated its Mighty Dragon, J-20 stealth fighter jet production at top-notch manufacturing facilities in the country to match the U.S.’s air-power technology in the region.
China has recently unveiled its third, and most advanced aircraft carrier, the “Fujian.” But how does it stack up against American aircraft carriers?
China recently hit the headlines with the launch of its third aircraft carrier.
The “Fujian” is China’s most advanced aircraft carrier to date. But how does it stack up against the carriers of the U.S.?
In June 2022, China reportedly launched its third and supposedly most advanced aircraft carrier. Domestically made, this ship, called the “Fujian,” makes China the 4th most potent naval power by its number of aircraft carriers.
AvigatorPhotographer/iStock.
Taylor Hill/Getty Images.
The tech billionaire, “chief Twit,” posted images of the company’s progress chart late on Saturday.
Musk said user active minutes were at a record high, averaging nearly eight billion active minutes per day in the last seven days as of November 15, an increase of 30% in comparison to the same week last year.
With the help of AI, researchers at Chalmers University of Technology, Sweden, have succeeded in designing synthetic DNA that controls the cells’ protein production. The technology can contribute to the development and production of vaccines, drugs for severe diseases, as well as alternative food proteins much faster and at significantly lower costs than today. How our genes are expressed is a process that is fundamental to the functionality of cells in all living organisms. Simply put, the genetic code in DNA is transcribed to the molecule messenger RNA (mRNA), which tells the cell’s factory which protein to produce and in which quantities.
Researchers have put a lot of effort into trying to control gene expression because it can, among other things, contribute to the development of protein-based drugs. A recent example is the mRNA vaccine against Covid-19, which instructed the body’s cells to produce the same protein found on the surface of the coronavirus. The body’s immune system could then learn to form antibodies against the virus. Likewise, it is possible to teach the body’s immune system to defeat cancer cells or other complex diseases if one understands the genetic code behind the production of specific proteins. Most of today’s new drugs are protein-based, but the techniques for producing them are both expensive and slow, because it is difficult to control how the DNA is expressed. Last year, a research group at Chalmers, led by Aleksej Zelezniak, Associate Professor of Systems Biology, took an important step in understanding and controlling how much of a protein is made from a certain DNA sequence.
“First it was about being able to fully ‘read’ the DNA molecule’s instructions. Now we have succeeded in designing our own DNA that contains the exact instructions to control the quantity of a specific protein,” says Aleksej Zelezniak about the research group’s latest important breakthrough. The principle behind the new method is similar to when an AI generates faces that look like real people. By learning what a large selection of faces looks like, the AI can then create completely new but natural-looking faces. It is then easy to modify a face by, for example, saying that it should look older, or have a different hairstyle. On the other hand, programming a believable face from scratch, without the use of AI, would have been much more difficult and time-consuming. Similarly, the researchers’ AI has been taught the structure and regulatory code of DNA. The AI then designs synthetic DNA, where it is easy to modify its regulatory information in the desired direction of gene expression.
Pests destroy up to 40% of the world’s crops each year, causing $220 billion in economic losses, according to the UN Food and Agriculture Organization (FAO). Trapview is harnessing the power of AI to help tackle the problem.
The Slovenian company has developed a device that traps and identifies pests, and acts as an advance warning system by predicting how they will spread.
“We’ve built the biggest database of pictures of insects in the world, which allows us to really use modern AI-based computing vision in the most optimal way,” says Matej Štefančič, CEO of Trapview and parent company EFOS.
Neuroscience exploration
Posted in neuroscience
The latest data improves our understanding of how clouds in “hot Jupiter” exoplanets like this might appear up close. They are likely to be broken up, rather than a single, uniform blanket over the planet.
Photochemistry is the result of light triggering chemical reactions. This process is fundamental to life on Earth: it makes ozone, for example, which protects us from harsh ultraviolet (UV) rays.
New observations of WASP-39 b, a Jupiter-sized planet orbiting a Sun-like star found 700 light years away, confirm the presence of a never-before-seen molecule in the atmosphere – sulfur dioxide – among other details.
The James Webb Space Telescope has previously studied WASP-39 b. In August, it captured the first clear evidence for carbon dioxide. Now, it has focused its array of highly sensitive instruments on the planet once again, revealing not just an isolated ingredient, but a full menu of atoms, molecules, and even signs of active chemistry and clouds in the broiling atmosphere. This latest data, far more detailed than any previous telescope, shows the amazing capabilities of Webb, and hints at the potential for future discoveries that may reveal biosignatures.
Deepmind introduces a new research framework for AI agents in simulated environments such as video games that can interact more flexibly and naturally with humans.
AI systems have achieved great success in video games such as Dota or Starcraft, defeating human professional players. This is made possible by precise reward functions that are tuned to optimize game outcomes: Agents were trained using unique wins and losses calculated by computer code. Where such reward functions are possible, AI agents can sometimes achieve superhuman performance.
But often – especially for everyday human behaviors with open-ended outcomes – there is no such precise reward function.
11/26/22
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