Tools & Platforms
NSF announces new funding opportunities to advance AI education and build the STEM workforce of the future | NSF

The U.S. National Science Foundation has announced two new Dear Colleague Letters (DCL) and one program solicitation that implement key elements of the Trump administration’s executive order, “Advancing Artificial Intelligence Education for American Youth.” The new opportunities will take decisive steps to expand resources for K-12 AI education, enhance teacher training and harness AI tools and services to improve science, technology, engineering and mathematics (STEM) teaching and learning.
“For decades, NSF has invested in research projects designed to transform STEM teaching and learning to meet emerging needs like AI. Integrating AI into education systems helps to prepare both young and adult learners to contribute to an AI-driven society,” said NSF Assistant Director for STEM Education James L. Moore III. “With these new funding mechanisms, NSF will fast-track its efforts to provide early exposure to AI, scale AI curricula, expand services that support the use of AI in education, advance teacher professional development and improve knowledge sharing in AI education to help sustain the nation’s leadership in technological innovation.”
Dear Colleague Letters
The Expanding K-12 Resources for AI Education DCL seeks to build upon NSF’s extensive investments in fundamental research, technology transition and education related to the science and application of AI. Existing awardees with K-12 AI or computer science education experience are invited to submit supplemental funding proposals to refine, scale, and/or implement established K-12 AI-related activities. Proposals should be for specific K-12 educational efforts that address age-appropriate AI education, literacy and/or the use of technologies in AI education.
The Expanding AI Career and Skilled Technical Workforce Opportunities in Support of High School Students DCL seeks to strengthen the U.S. AI workforce and advance education and innovation pipelines by increasing early access to high-quality, AI learning opportunities for America’s high school students. This can include AI courses, certification or dual enrollment programs focusing on AI and workforce development for high school students.
Solicitation
The NSF STEM K-12 program will support innovative, multidisciplinary research that explores how AI and other emerging technologies can be leveraged to study and enhance STEM teaching and learning. This program seeks projects that produce new tools and frameworks, harness exemplary formal and informal learning and unlock new avenues of scientific inquiry and discovery in STEM education. This broad funding opportunity has a particular focus on research and development advances that will be translated to STEM classroom practices.
In support of the priorities detailed in the executive order, NSF is also taking steps to integrate AI as a priority area within existing fellowship and scholarship for service programs.
Tools & Platforms
AI will reshape internet, create jobs in West Virginia says High Technology Foundation's Estep – WV News
Tools & Platforms
Nvidia says GAIN AI Act would restrict competition, likens it to AI Diffusion Rule

Short for Guaranteeing Access and Innovation for National Artificial Intelligence Act, the GAIN AI Act was introduced as part of the National Defense Authorization Act and stipulates that AI chipmakers prioritize domestic orders for advanced processors before supplying them to foreign customers.
“We never deprive American customers in order to serve the rest of the world. In trying to solve a problem that does not exist, the proposed bill would restrict competition worldwide in any industry that uses mainstream computing chips,” an Nvidia spokesperson said.
If passed into law, the bill would enact new trade restrictions mandating exporters obtain licenses and approval for the shipments of silicon exceeding certain performance caps.
“It should be the policy of the United States and the Department of Commerce to deny licenses for the export of the most powerful AI chips, including such chips with total processing power of 4,800 or above and to restrict the export of advanced artificial intelligence chips to foreign entities so long as United States entities are waiting and unable to acquire those same chips,” the legislation reads.
The rules mirror some conditions under former U.S. President Joe Biden’s AI diffusion rule, which allocated certain levels of computing power to allies and other countries.
The AI Diffusion Rule and AI GAIN Act are attempts by Washington to prioritize American needs, ensuring domestic firms gain access to advanced chips while limiting China’s ability to obtain high-end tech amid fears that the country would use AI capabilities to supercharge its military.
Last month, President Donald Trump made an unprecedented deal with Nvidia to give the government a cut of its sales in exchange for resuming exports of banned AI chips to China.
Tools & Platforms
Apple sued by authors over use of books in AI training

The proposed class action, filed in the federal court in Northern California, said Apple copied protected works without consent and without credit or compensation.
“Apple has not attempted to pay these authors for their contributions to this potentially lucrative venture,” according to the lawsuit, filed by authors Grady Hendrix and Jennifer Roberson.
Apple and lawyers for the plaintiffs did not immediately respond to requests for comment on Friday.
The lawsuit is the latest in a wave of cases from authors, news outlets and others accusing major technology companies of violating legal protections for their works.
Artificial intelligence startup Anthropic on Friday disclosed in a court filing in California that it agreed to pay $1.5 billion to settle a class action from a group of authors who accused the company of using their books to train its AI chatbot Claude without permission.
Anthropic did not admit any liability in the accord, which lawyers for the plaintiffs called the largest publicly reported copyright recovery in history.
In June, Microsoft was hit with a lawsuit by a group of authors who claimed the company used their books without permission to train its Megatron artificial intelligence model. Meta Platforms and Microsoft-backed OpenAI also have faced claims over the alleged misuse of copyrighted material in AI training.
The lawsuit against Apple accused the company of using a known body of pirated books to train its “OpenELM” large language models.
Hendrix, who lives in New York, and Roberson in Arizona, said their works were part of the pirated dataset, according to the lawsuit.
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