At Vanderbilt, education leaders from around the globe meet to shape the future of AI in learning

AI center will be part of UF Gulf Coast Research and Education Center

The University of Florida's Institute of Food and Agricultural Sciences (UF/IFAS) is establishing a 40,000-square-foot AI hub at the Gulf Coast Research and Education Center to address agricultural challenges through technology. This center aims to enhance crop yields, reduce chemical use, and create technology-driven jobs, ultimately strengthening Florida's agricultural and economic landscape.

The impact of artificial intelligence-based learning tools in academic innovation: a review of Deep seek, GPT, and Gemini (2020–2025)

AI-based Learning Tools (AI-LTs) are significantly transforming higher education by enhancing personalized learning experiences, boosting student engagement, and streamlining administrative tasks, although they also present ethical challenges such as algorithmic bias and data privacy risks. The study emphasizes the importance of responsible AI adoption, advocating for transparency and collaboration between humans and AI, while also highlighting the need for future research to focus on empirical investigations to validate the influence of AI-LTs across diverse academic environments.

UNO Business Students Use AI to Hone Strategic Decision-Making

Contact us to explore AI possibilities, as discussing AI is simple, but effectively utilizing it is the true challenge. UNO's College of Business Administration is actively integrating AI into its curriculum to enhance students' critical thinking, decision-making, and market analysis skills.

CSU Libraries event discusses generative AI’s academic impacts

Colorado State University's Morgan Library hosted a discussion on generative AI and writing, led by Professors Kelly Bradbury and Aly Welker, as part of the AI Dialogues series. The event focused on student perspectives regarding AI usage in education, highlighting their desire for guidance and consistent policies, and included insights from national surveys and classroom experiences.

Exploring AI futures in libraries with the Futurescape Workshop community

The Futurescape Libraries AI Workshop, hosted by Carnegie Mellon University, brought together librarians from across North America to explore how artificial intelligence might reshape discovery, access, and trust in scholarly information. The event emphasized the importance of guiding AI development with human-centered values such as transparency, accountability, and fairness, while also addressing the challenges and opportunities AI presents in enhancing discovery tools and combating misinformation in the scholarly publishing ecosystem.

Students express hope — and fear — over classroom AI use

Students are optimistic about AI's potential benefits in education but express concerns over misinformation, misuse, and lack of guidance, according to a Project Tomorrow survey. While district leaders are eager to integrate AI, students are hesitant due to fears of cheating accusations and uneven implementation across schools, highlighting the need for clear guidelines and AI literacy skills.

New AI system could accelerate clinical research

MIT researchers have developed an AI-based system called MultiverSeg that streamlines the process of segmenting biomedical imaging datasets, allowing users to rapidly and accurately mark regions of interest with minimal input. Unlike previous models, MultiverSeg can improve its predictions based on user interactions and does not require retraining for new tasks, significantly accelerating medical research and clinical applications.

Founding partner Microsoft to bring new Discovery AI technology to NJ AI Hub

In the A.I. Race, Chinese Talent Still Drives American Research

Generative AI’s Ethical and Societal Impacts in Higher Computing Education: a Systematic Review

Generative AI poses significant ethical and societal challenges in education, particularly concerning equity, academic integrity, and bias, prompting researchers like Janice Mak, Joyce Nakatumba-Nabende, and Tony Clear to develop the Ethical and Societal Impacts-Framework. This framework, based on a comprehensive analysis of existing research and university policies, serves as a practical tool for educators, computing professionals, and policymakers to guide the responsible integration of generative AI in higher computing education.