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Geoscientist Among First Projects Approved by National Artificial Intelligence Research Resource (NAIRR) Pilot

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Lijing Wang, soon to join UConn in August as an assistant professor of geosciences in the College of Liberal Arts and Sciences, has been selected as one of the pioneering scientists in the U.S. to receive support from the National Artificial Intelligence Research Resource (NAIRR) Pilot.
This initiative, a nationwide infrastructure, aims to provide U.S. researchers with the necessary computational data, software, models, and training to conduct paradigm-shifting AI research.
Announced jointly by the U.S. National Science Foundation (NSF) and the Department of Energy (DOE), the NAIRR Pilot has awarded computational time to the first 35 projects, marking a significant step in fostering responsible AI research and ensuring equitable access to AI tools across the country.
The NAIRR Pilot is dedicated to supporting fundamental, translational, and use-inspired AI-related research, with a focus on addressing societal challenges. Initial priority areas include the development of safe, secure, and trustworthy AI, advancements in human health, and initiatives related to the environment and infrastructure.
Wang’s project has been allocated 10,500 node hours at the DOE Argonne National Laboratory AI Testbed. This allocation allows her to investigate water flow in mountainous regions, where limited data on snow melt and water movement pose challenges to accurate predictions of future water flow patterns.
“Mountainous watersheds are critical water sources,” Wang explains. “While intensive monitoring is essential for understanding water availability, it is not always feasible in every catchment. By complementing monitoring efforts with AI tools, we can more efficiently evaluate water variations, particularly in the context of climate change.”
Her research involves simulating water movement across diverse mountain slopes under varying conditions. The outcomes will generate a comprehensive dataset for developing an AI model capable of predicting snow melt, water flow dynamics, and groundwater levels. These predictive capabilities will enable faster water forecasting, thereby enhancing water management strategies and informing climate change studies.
Out of the 35 selected projects, 27 will receive support through NSF-funded advanced computing systems, while the remaining eight projects will utilize DOE-supported systems.
Source: today.uconn.edu

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EU’s new AI rules: Industry opposed to revealing guarded trade secrets

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New regulations in the European Union (EU) are set to compel companies to increase transparency regarding the data they use to train artificial intelligence (AI) systems, potentially unveiling closely guarded industry practices, reports the Times of India.
Since OpenAI, supported by Microsoft, introduced ChatGPT to the public 18 months ago, there has been a surge in public interest and investment in generative AI. This technology enables rapid generation of text, images, and audio content.
As the AI industry expands, concerns have emerged regarding how companies source data for training their models, particularly whether using content from popular books and movies without creators’ consent constitutes a breach of copyright.
The EU’s new AI Act, phased in over the next two years, mandates stricter regulations while allowing time for businesses to adjust to new requirements. Nevertheless, the practical implementation of these rules remains uncertain, notes the report.
Mandating “detailed summaries”
A contentious provision of the AI Act requires organizations deploying general-purpose AI models like ChatGPT to provide “detailed summaries” of the training data. The newly established AI Office plans to release a template for these summaries by early 2025 after consulting stakeholders. However, AI companies oppose disclosing their training data, arguing it as a trade secret that could unfairly benefit competitors if made public, the report reveals.
In the past year, major tech firms including Google, OpenAI, and Stability AI have faced lawsuits alleging unauthorized use of content for AI training. Despite US President Joe Biden’s executive orders addressing AI security risks, legal challenges regarding copyright remain largely untested, the report adds.
Backlash against OpenAI
Amid heightened scrutiny, tech companies have struck content-licensing deals with media outlets and websites. OpenAI, for instance, has partnered with the Financial Times and The Atlantic, while Google has collaborated with NewsCorp and Reddit.
Despite these efforts, OpenAI drew criticism in March when Chief Technology Officer Mira Murati declined to confirm whether YouTube videos were used to train its video-generating tool, Sora, citing potential violations of company terms and conditions.
Source: business-standard.com
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Picsart teams up with Getty to take on Adobe’s ‘commercially-safe’ AI

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Picsart and Getty Images are joining forces to develop an AI image generator exclusively trained on Getty’s licensed stock content.
According to Picsart, their AI lab is constructing a bespoke model from the ground up to power this tool. It aims to provide the platform’s paying subscribers with the ability to generate images that come with full commercial rights. This initiative seeks to address persistent concerns about potential copyright violations associated with AI-generated content. The Picsart / Getty Images generator is slated for launch later this year and will be accessible through Picsart’s API services.
This collaboration bears similarities to Adobe’s Firefly AI model, initially introduced as a prompt-based image generation tool within Photoshop last year. Adobe has since expanded its integration across various Creative Cloud applications. Adobe’s model also emphasizes commercial safety by training on stock images from Adobe’s own library, along with openly licensed or out-of-copyright content. However, questions remain about the integrity of the training data and user trust in Adobe’s approach.
Getty Images has previously ventured into commercially-focused AI products through partnerships with Bria AI and Runway, and by teaming up with Nvidia to introduce “Generative AI by Getty Images,” leveraging its extensive catalog of licensed images. Adobe’s widespread integration of the Firefly model into popular applications like Photoshop, Illustrator, Lightroom, and Express may pose a challenge for Picsart’s new offering in terms of attracting creatives away from Adobe’s established ecosystem.
Source: theverge.com
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Microsoft to delay release of Recall AI feature on security concerns

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On June 13, Microsoft announced that it will postpone the rollout of its AI-powered feature “Recall” with new computers next week due to privacy concerns. Instead, the tech giant plans to offer Recall for preview to a smaller group later, following feedback and additional testing.
Recall is designed to track various activities from web browsing to voice chats, compiling a searchable history stored on the user’s computer. This allows users to easily retrieve past actions, even months later.
Originally slated for broad availability on June 18 for Copilot+ PC users, Recall will now undergo a preview phase exclusively within Microsoft’s Windows Insider Program (WIP) in the coming weeks. This decision, as stated in a blog post by the Redmond, Washington-based company, underscores their commitment to ensuring a trusted, secure, and reliable experience for all customers.
Copilot+ PCs, introduced in May, feature advanced AI capabilities aimed at enhancing user interactions and productivity. The WIP, a platform for software testing, enables enthusiasts to preview upcoming Windows operating system features.
Microsoft intends to incorporate feedback from the WIP community before extending the Recall preview to all Copilot+ PC users in the near future.
Following the feature’s announcement, concerns over privacy were swiftly voiced on social media, with some users fearing potential surveillance implications. Elon Musk, prominent technologist and billionaire, likened Recall to a scenario from the dystopian series “Black Mirror,” highlighting societal apprehensions about the impact of advanced technologies.
Source: reuters.com

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