NASA - Data Influx - James Webb Telescope

 - NASA announced it will use AI to analyze the massive data influx from the James Webb Space Telescope, aiding in the discovery of exoplanets and distant celestial bodies.

NASA has indeed announced that it plans to utilize artificial intelligence (AI) to manage and analyze the vast amounts of data generated by the James Webb Space Telescope (JWST). This is essential because the JWST, equipped with advanced instruments, is expected to capture an unprecedented volume of complex data from deep space, including high-resolution images and spectra across different wavelengths.

AI and machine learning algorithms are particularly well-suited to handle this influx as they can process and interpret large datasets more efficiently than traditional methods. These technologies will aid in tasks such as identifying distant celestial objects, analyzing their compositions, and detecting potential signs of life. 

While NASA has outlined its intention to integrate AI into its data analysis workflows, the specific details about the exact timeline or specific starting point for this integration have not always been clearly spelled out in press announcements. However, given the JWST's successful launch in December 2021 and its deployment and calibration phases in early 2022, the usage of AI for data analysis has likely been in planning or early stages since mid-2022, with continuous development and scaling up expected as the JWST sends back more data.

For the most current information, it's best to refer to the latest updates from NASA's official communications, research articles, and press releases.