Artificial Intelligence
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Various State University of New York schools are working with University at Albany, Binghamton University, University at Buffalo and Stony Brook University on AI programming and research for students and faculty.
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The company provides maps and other AI-driven solutions to help local government agencies with transportation, transit, natural disaster response and traffic safety efforts. The new funding comes from a single investor.
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The boom of early Internet in the mid-1990s upended government IT. The rise of artificial intelligence isn't exactly the same, but it isn't completely different. What can we learn from 30 years ago?
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The state and private-sector backers will offer $20 million to help companies develop artificial intelligence tools. The move is the latest sign of New Jersey’s desire to become a national AI leader.
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A township in eastern Washtenaw County has adopted rules that limit data centers to land zoned for industrial and commercial revitalization uses. The facilities are not allowed on land zoned for any other uses.
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In 2025, state IT focused on resilience — including recovery from a significant cybersecurity incident — and technology modernization with the CORE.NV project, setting the stage for continued progress next year.
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A 30-member California Innovation Council will include executives and leaders from the UC system, the Brookings Institute, Stanford University and the California Chamber of Commerce, among others.
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The 20th annual top 10 list of state CIO priorities from the National Association of State Chief Information Officers reflects a pivotal shift in how leaders are preparing for the next era of gov tech.
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A group of 20 California state lawmakers sent a letter before the executive order was signed, asking their congressional counterparts to push back against pre-emption or other efforts to limit flexibility.
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The new executive will lead the state’s artificial intelligence and machine learning strategy as the Department of Innovation and Technology builds out a formal AI office.
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The document emphasizes governance, risk assessment and safety principles to protect operational technology as AI adoption grows. Understanding security concerns during development is one recommendation.
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President Donald Trump has signed an executive order seeking to limit states’ abilities to enact AI-related policy that could be deemed “burdensome.” Experts argue the action is illegal.
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The state Department of Administration is considering adding agentic AI modules in the myAlaska app, which residents use for a variety of key services. A recent request for information sought industry input.
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The young company’s backers and supporters include several gov tech veterans along with officials from Nevada. Madison AI offers a chatbot and other AI-backed services to cities and counties and other local agencies.
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A presidential executive order on AI could challenge a number of laws already in play. One in California, state Senate Bill 53, set safety disclosure requirements for companies operating AI models.
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“Experiential learning” can let people discover technologies firsthand, a panelist said at the inaugural CoMotion GLOBAL conference in Riyadh, Saudi Arabia. Residents must be kept in mind, said another.
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Pamela McKnight will serve as the city’s inaugural chief AI officer. Officials first announced plans to hire a CAIO and build out an AI team earlier this year, powered by a $2 million budget expansion.
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A private research university in Texas announced a partnership with Dell to accelerate the use of artificial intelligence on campus and implement an AI system that keeps critical data in-house.
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New York Gov. Kathy Hochul is pouring an additional $40 million into the clean energy workforce with aims of upping the state’s nuclear and AI capabilities.
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Providing shared computing power, AI tools and educational support, the National Artificial Intelligence Research Resource pilot connects researchers, educators and industry partners pushing boundaries with AI.
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Next year will bring a complex mix of evolution, correction and convergence when it comes to AI. It will become more powerful, more personal and more ubiquitous — and also more expensive, more autonomous and more disruptive.
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