In conclusion, the recent development of suspects being taken into custody in connection with the Bu incident signifies a critical juncture in the ongoing investigation. The diligent efforts of law enforcement officials, coupled with the support and attention of the community, will undoubtedly contribute to a thorough and transparent resolution of the case. As the case continues to unfold, the importance of upholding the principles of justice and truth remains paramount, guiding the journey towards understanding and closure for all those affected by the Bu incident.None
New Mexico's two national laboratories are banding together with higher education institutions to bring the state to the national forefront of artificial intelligence development. The seven-member New Mexico AI Consortium is the first of its kind to unify industry with educational institutions, according to Melanie Moses, computer science professor at the University of New Mexico and the university's leader within the AI Consortium. Its aim is to combine the research and education of the state's universities and colleges with the experience and computational power of Los Alamos and Sandia national labs. While many educational institutions have AI programs — including state-funded AI-literacy programs for K-12 students — the new partnership represents an expansion of the state's AI’s capabilities in regard to science, specifically, according to a UNM news release Monday. “We think New Mexico can be a real powerhouse in AI research and AI education by combining the universities with the labs' long history of working in AI and high performance computing,” Moses said in an interview. The consortium isn't interested in making the next ChatGPT or any other traditional language model. Instead, it's focused on using AI’s strength to recognize patterns among large amounts of data for research purposes — such as designing improved antibiotic drugs, or conducting material analysis on energy technology like batteries and solar panels. The newly formed union brings together Los Alamos and Sandia with UNM, New Mexico State University, New Mexico Institute for Mining and Technology, Central New Mexico Community College and the educational research nonprofit New Mexico Consortium to create a “pipeline,” to bolster the state’s AI research and employment opportunities. The consortium was formed during a recent meeting held by LANL that brought educational institutions together with lab leaders to discuss the state’s future in artificial intelligence. “In that meeting, it became clear that if we want to invest specifically in AI in the state, we really need to pool resources,” Moses said. It was a natural partnership, Moses said. Industry has the resources to develop AI for profit, while universities need more resources to research AI’s ethical and social implications. “So, we said, ‘Why don't we just see what we can do to pull people together?’ And everybody was excited to join this,” said Moses, who said she expects more colleges and institutions to join the coalition as it expands throughout the state. At the meeting, Moses sat alongside Los Alamos National Laboratory's AI Office Council Director Jason Pruet and Sandia's Director of Computing Research Jennifer Gaudioso, who testified in June before the congressional Joint Economic Committee on “artificial intelligence and its potential to fuel economic growth and improve governance.” In that hearing, Gaudioso said data from the U.S. Department of Energy would go a long way in training AI models. Moses, whose specialization is in biology-inspired computation, cited another recent example. The use of AI to predict the protein shape produced by a string of DNA, what she called, “an open problem in biology for the last five decades,” which was solved in just a few years by AI. The discovery came about as a result of an AI tool called AlphaFold, made by the Google Deep Mind team, which successfully mapped the predicted shape for all 200 million known proteins, earning the team the 2024 Nobel Prize in Chemistry. “That’s millions and millions of hours of human labor just taken care of. It’s done. The problem is essentially solved,” she said. There are some drawbacks to using AI, though. One of the largest is the lack of transparency, or the “black box” effect, referring to the fact that most AI models are unable to explain exactly why they arrived at a given conclusion. “It's a huge problem,” said Moses. “As a scientist, you're not very satisfied when it just says, ‘The answer is 42.’ You want explainability. Everyone understands that this black box nature of AI is not ideal.” Elimination or reduction of this black box effect is an early top priority for the consortium, said Moses, and for good reason. Not only is AI being looked at for hard scientific research applications in areas such as biomedicine and chemistry, but also within social sciences. Political scientists using AI to examine election infrastructure and law specialists using it to analyze legal codes and deliver proposed verdicts are just a couple of examples of the about 60 faculty members that Moses said are engaged in AI research at UNM. That expansion of AI applications has also given rise to those raising caution. Specifically in the form of an algorithmic justice team between UNM and the Santa Fe Institute, developed before the consortium, which is focused on ensuring AI provides tangible explanations, especially if an AI decision could affect a person’s livelihood. As one consortium-proposed solution, Sandia is “looking to the architecture of the human brain for a better model of how to build these sort of artificial neural networks,” said Moses, both as a method of reducing the black box effect and aiming to reduce the traditionally high energy expenditure of AI models. While the coalition is focused on bringing AI-interested students to the labs, it is also trying to expand the labs' role in the classroom, adding to the already-strong cohort of adjunct faculty with a background in the labs. While Moses recognized some jobs could be threatened by AI, having AI skills will “empower people to be more productive and to have secure, interesting jobs in the future,” she said. "This consortium is trying to foster all of us being able to apply for very large grants that will really bring funding into the state and to build this kind of ecosystem that'll attract AI startups and things of that nature," said Moses. "This right now is the seedling stage, and I'm hoping that we'll really grow into something that benefits all of the state."In fact, long before the English Premier League Referees Company investigated Kut during his tenure, UEFA had already taken action to remove him from their officiating list. Kut's removal was a crucial decision that highlighted UEFA's commitment to upholding the integrity and values of football.
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