This article is produced by NetEase Smart Studio (official account: smartman163). Stay tuned for AI and the next big era of technology!
[NetEase Smart News, January 14] The next generation of telescopes is set to revolutionize how we explore the universe. These powerful instruments will scan millions of stars, generating massive data sets that astronomers must analyze. With such vast amounts of information, traditional methods are no longer sufficient. As a result, many astronomers are turning to artificial intelligence to help process and interpret the data.
While algorithms have long assisted in astronomical research, recent advances in AI—especially in image recognition and computing power—have made these tools more accessible and effective. Derek Bussig from Florida International University explains, “We can’t keep up with the data flow using old methods, so we need to change the way we work.â€
One example is the Large Synoptic Survey Telescope (LSST) being built in Chile. It will use a camera the size of a car to capture images of the entire southern sky every few days. In total, it's expected to collect over 50 million gigabytes of raw data—an amount that would be impossible for humans to handle alone.
According to Donald Lee Brown, a graduate student at the University of Kansas, new AI techniques have significantly improved both speed and accuracy in recent years. He notes that the number of astronomical papers focusing on machine learning has grown fivefold in just five years.
How do astronomers use AI today?
1) **Telescope Coordination** Tom Waitland from Los Alamos National Laboratory explains that large telescopes often observe "transient celestial events"—like gamma-ray bursts, which last just seconds. These events require quick detection, classification, and follow-up observations. With telescopes like LSST detecting 50,000 such events each night, human intervention isn't fast enough. “Machines need to do this now,†says Waitland.
2) **Data Analysis** NASA’s new transit satellite from Japan will provide detailed images of nearly half the sky every 30 minutes, offering astronomers data on 20 million stars. “The future data will be far more than we’ve ever seen before,†says Bussig. AI can classify these stars, group similar ones together, and then let humans focus on the 1% that AI can’t fully understand. “Neural networks can extract star temperatures or metallicity faster and more accurately than before,†adds Lee Brown.
3) **Data Mining** Joshua Pique from the Space Telescope Science Institute says much of the data collected is often discarded, even though it may contain hidden physical insights. He’s developing a convolutional neural network to identify objects in nebula images and extract meaningful data about gas and plasma structures. This helps astronomers compare different cosmic formations and uncover new patterns.
A key challenge remains: “How do you write software to find things you don’t yet know how to describe?†asks Vestrand. “What do you do when an event is truly unique?†This is where real breakthroughs might come from, as it’s in the unknown that new discoveries lie.
Originally published on Axios by Alison Snyder. Translated and adapted by Sarah. Link: [https://]
(Word count: 534)I. Definition and overview
A high-frequency UPS is an Uninterruptible Power Supply (UPS) technology. It uses the high-frequency switching power supply technology to convert the input AC power into high-frequency AC power through the inverter and then converts the input AC power into stable direct current (DC) power for electronic devices. High frequency UPS plays an important role in modern power supply system because of its efficient conversion rate, small size design and fast response ability.
Two, the main characteristics
Efficient conversion rate:
High frequency UPS adopts a new IGBT (insulated gate bipolar transistor) inverter technology, and its conversion efficiency can reach more than 90%, which is much higher than the traditional low-frequency UPS, effectively reducing energy loss and improving the use efficiency. (Source: Shunqi network enterprise yellow pages and supply and demand information release platform)
Small volume design:
Because high-frequency UPS uses a more compact design, its volume is significantly smaller than low-frequency UPS, and its footprint is smaller, which is very suitable for use in space-limited environments, such as data centers and computer rooms. (source ibid.)
High power density:
The power density of high-frequency UPS is large, and it can provide greater power output in a small volume, improving the capacity and power supply efficiency of the equipment.
Quick response:
The high frequency UPS has a fast response capability and can provide stable power for the device immediately when the power supply of the grid is interrupted, ensuring that the continuous operation of the device is not affected.
Intelligent management:
Many high-frequency UPS are equipped with advanced intelligent management systems, which can monitor the status of power supply, battery status, load situation in real time, and have fault diagnosis, automatic switching, remote monitoring and other functions, improving the reliability and maintainability of the system.
High frequency Uninterrupted Power Supply,High frequency UPS system, High frequency online UPS
Foshan Keylewatt Technology Co., LTD , https://www.klwenergy.com