Progress in Applying Artificial Intelligence and Machine Learning
From filtering your inbox for spam to protecting your credit card from fraudulent activity, AI technologies are already part of our everyday lives. AI is integrated into every major U.S. economic sector, including transportation, health care, agriculture, finance, national defense, and space exploration.
This influence will only expand. In 2016, the global AI market was valued at over $4 billion and is expected to grow to $169 billion by 2025. Additionally, there are estimates that AI could add $15.7 trillion to global GDP by 2030.
The House Science Committee has been developing legislation that would accelerate and coordinate Federal investments and facilitate new public-private partnerships in research, standards, and education in artificial intelligence, in order to ensure the United States leads the world in the development and use of responsible artificial intelligence systems.
Now, in an example of a successful public-private partnership to improve our forecasting ability, the National Oceanic Atmospheric Association (NOAA) and Google are teaming up to study how Artificial Intelligence and Machine Learning can enhance how NOAA uses satellite and environmental data:
NOAA, Google announce data partnership
NOAA’s Satellite and Information Service (NESDIS) has signed an agreement with Google to explore the benefits of Artificial Intelligence (AI) and Machine Learning (ML) for enhancing NOAA’s use of satellite and environmental data.
Under this three-year Other Transaction Authority (OTA) agreement, NESDIS and Google will pilot specific AI- and ML-related projects to amplify NOAA’s environmental monitoring, weather forecasting, climate research, and technical innovation.
“Strengthening NOAA’s data processing through the use of big data, artificial intelligence, machine learning, and other advanced analytical approaches is critical for maintaining and enhancing the performance of our systems in support of public safety and the economy,” said Neil Jacobs, Ph.D., acting NOAA administrator. “I am excited to utilize new authorities granted to NOAA to pursue cutting-edge technologies that will enhance our mission and better protect lives and property.”
Research will initially focus on developing small-scale AI/ML systems. With the results yielded from those efforts, NOAA and Google Cloud will then focus on executing full-scale prototypes that NOAA could ultimately operationalize across its organization. If successful, this has the potential to be a significant leap in NOAA’s ability to leverage the enormous volume and diversity of environmental data in order to enhance prediction, including for extreme weather events such as hurricanes and tornadoes.
“By bringing together NOAA and Google’s expertise and talent, we can both resource and jointly explore AI/ML methods to achieve a more effective use of satellite and other environmental data,” said Mike Daniels, vice president, Global Public Sector, Google Cloud. “Our goal is to increase scientific impact, and improve the efficiency and effectiveness of environmental and satellite data by leveraging Google Cloud’s infrastructure and AI/ML know-how. All this will help improve weather forecasting, research and unlock innovation.”
Through this agreement, NOAA and Google will work together on a number of projects, offering hands-on AI training opportunities to the NOAA workforce. NOAA’s AI strategy aims to infuse new technologies and approaches to increase efficiency and skills through partnerships, training, and AI-related research and development.
NOAA developed an AI/ML strategy and a Data Strategy to dramatically accelerate the use of data across the agency and with other key partners, maximize openness and transparency, deliver on mission, and steward resources while protecting quality, integrity, security, privacy, and confidentiality.
Learn more about NOAA’s AI strategy for optimizing our systems and processes.
Learn more about NOAA’s Data Strategy for maximizing the value of data
Learn more about NOAA NESDIS