


IBM and NASA join forces to open source geospatial AI basic model to promote progress in climate science
News on August 4, according to foreign media Fagen Wasanni Technologies reported that IBM recently announced that it will join forces with NASA to use IBM’s watsonx.ai# on the open source AI platform Hugging Face. ## Combined with NASA satellite data, build an open source geospatial AI basic model. Officially stated that this model will become the largest geospatial basic model on Hugging Face and the first open source AI basic model established in cooperation with NASA.
watsonx.ai AI Tools Page
In climate science, due to environmental conditions every day Changes occur, and obtaining up-to-date data remains a significant challenge. NASA estimates that by 2024, scientists will obtain 250,000 terabytes of data from new missions, but scientists and researchers still face certain obstacles in analyzing these large data sets, so IBM and NASA believe that it can Improve this situation with the power of AI.As part of the Space Act Agreement with NASA, IBM earlier this year began building an AI foundation model for geospatial data watsonx.ai
.
▲ Picture sourcewatsonx.ai
After a year of cooperation, IBM and NASA use Harmonized Landsat Sentinel -2 satellite data jointly trained this model. Researchers are constantly optimizing the model, and the efficiency of the model has now increased by 15% compared with the initial release. In addition, officials said that the model has made some fine adjustments to the annotated data and can be used to track deforestation. , predicting crop yields, and detecting and monitoring greenhouse gases, among other tasks. In addition, researchers from IBM and NASA collaborated with Clark University to add scientific applications to the model, such as "time series segmentation" and "similarity research"
It is reported that IBM'swatsonx.ai
A commercial version of the geospatial model will be available later this year through the IBM Environmental Intelligence Suite (EIS). The open source version is currently available on Hugging Face. Interested friends of this site can visithere.
Sriram Raghavan, Vice President of IBM Research AI, emphasizes the crucial role of open-source technologies in accelerating discoveries in critical areas such as climate change.IBM claims that through its reusability By combining AI systems with NASA’s Earth satellite data warehouse, humans can harness the power of collaboration to implement faster, more impactful solutions that improve our planet Hugging Face’s products and growth are responsible Jeff Boudier said that AI is a science-based field, and science can only make progress through information sharing and cooperation. Therefore, open source AI and model datasets are critical to the sustainable development of AI, as these resources ensure the technology is as widely available as possible
Kevin Murphy, NASA's Chief Scientific Data Officer, expressed his belief that Fundamental models have the potential to revolutionize methods of analyzing observational data, aiding in a better understanding of the Earth and fostering collaborative efforts for human development.
The above is the detailed content of IBM and NASA join forces to open source geospatial AI basic model to promote progress in climate science. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

Using the chrono library in C can allow you to control time and time intervals more accurately. Let's explore the charm of this library. C's chrono library is part of the standard library, which provides a modern way to deal with time and time intervals. For programmers who have suffered from time.h and ctime, chrono is undoubtedly a boon. It not only improves the readability and maintainability of the code, but also provides higher accuracy and flexibility. Let's start with the basics. The chrono library mainly includes the following key components: std::chrono::system_clock: represents the system clock, used to obtain the current time. std::chron

MeMebox 2.0 redefines crypto asset management through innovative architecture and performance breakthroughs. 1) It solves three major pain points: asset silos, income decay and paradox of security and convenience. 2) Through intelligent asset hubs, dynamic risk management and return enhancement engines, cross-chain transfer speed, average yield rate and security incident response speed are improved. 3) Provide users with asset visualization, policy automation and governance integration, realizing user value reconstruction. 4) Through ecological collaboration and compliance innovation, the overall effectiveness of the platform has been enhanced. 5) In the future, smart contract insurance pools, forecast market integration and AI-driven asset allocation will be launched to continue to lead the development of the industry.

Measuring thread performance in C can use the timing tools, performance analysis tools, and custom timers in the standard library. 1. Use the library to measure execution time. 2. Use gprof for performance analysis. The steps include adding the -pg option during compilation, running the program to generate a gmon.out file, and generating a performance report. 3. Use Valgrind's Callgrind module to perform more detailed analysis. The steps include running the program to generate the callgrind.out file and viewing the results using kcachegrind. 4. Custom timers can flexibly measure the execution time of a specific code segment. These methods help to fully understand thread performance and optimize code.

Recommended reliable digital currency trading platforms: 1. OKX, 2. Binance, 3. Coinbase, 4. Kraken, 5. Huobi, 6. KuCoin, 7. Bitfinex, 8. Gemini, 9. Bitstamp, 10. Poloniex, these platforms are known for their security, user experience and diverse functions, suitable for users at different levels of digital currency transactions

The top ten cryptocurrency trading platforms in the world include Binance, OKX, Gate.io, Coinbase, Kraken, Huobi Global, Bitfinex, Bittrex, KuCoin and Poloniex, all of which provide a variety of trading methods and powerful security measures.

The top ten digital currency exchanges such as Binance, OKX, gate.io have improved their systems, efficient diversified transactions and strict security measures.

Bitcoin’s price ranges from $20,000 to $30,000. 1. Bitcoin’s price has fluctuated dramatically since 2009, reaching nearly $20,000 in 2017 and nearly $60,000 in 2021. 2. Prices are affected by factors such as market demand, supply, and macroeconomic environment. 3. Get real-time prices through exchanges, mobile apps and websites. 4. Bitcoin price is highly volatile, driven by market sentiment and external factors. 5. It has a certain relationship with traditional financial markets and is affected by global stock markets, the strength of the US dollar, etc. 6. The long-term trend is bullish, but risks need to be assessed with caution.

Currently ranked among the top ten virtual currency exchanges: 1. Binance, 2. OKX, 3. Gate.io, 4. Coin library, 5. Siren, 6. Huobi Global Station, 7. Bybit, 8. Kucoin, 9. Bitcoin, 10. bit stamp.
