Breaking: UNM AI Certificate

AI Advancements at UNM: The RAISE Program

Groundbreaking Research: The RAISE Program

The University of New Mexico (UNM) has embarked on a significant venture in the realm of artificial intelligence (AI) and autonomous systems through the RAISE program. Funded through a $3 million National Science Foundation (NSF) National Research Traineeship program award, the RAISE program, headed by Professor Meeko Oishi from the Department of Electrical and Computer Engineering, aims to address pressing issues in the ethical use and development of AI. The project’s funding began in September 2023 and will last for five years, providing a robust timeline for achieving project objectives.

The RAISE project encompasses a variety of research areas, with a particular emphasis on developing AI systems that are reliable, responsive, and capable of operating autonomously. The project will explore the application of AI in space and defense autonomy, algorithmic fairness, multi-agent and intelligent systems, and extreme-scale computing. The interdisciplinary approach will allow researchers to tackle complex problems that require collaboration across varied academic departments.

Interdisciplinary Collaboration

The RAISE program is a testament to the power of interdisciplinary collaboration. The project brings together experts from the Department of Electrical and Computer Engineering, the Department of Computer Science, the Department of Mechanical Engineering, and the College of University Libraries and Learning Sciences. This collaboration is critical for addressing the multifaceted challenges associated with AI development, particularly in ensuring that these systems are developed responsibly and with a deep understanding of their ethical implications.

Through cross-disciplinary coursework, students will gain a comprehensive understanding of AI technologies and their applications. This includes courses that integrate ethical considerations into the design process, which is a unique aspect of the RAISE program. The inclusion of ethical decision-making in the curriculum will prepare students to navigate the complex trade-offs inherent in AI development.

Associate Professor Stephanie Moore, whose research focuses on learning design, ethics, and technology, is co-designing the curriculum to emphasize ethical considerations as design specifications. This approach ensures that future AI specialists are equipped with the tools to make informed decisions that align with societal values and ethical standards.

Educational Impact

The RAISE program introduces a new graduate certificate in artificial intelligence and autonomy, available to both master’s and Ph.D. students at UNM. This certificate is designed to offer specialized training in the ethical development and use of AI for autonomous systems. The program will train a new generation of AI specialists who are well-versed in the complexities of autonomous systems and the ethical considerations that accompany their development and deployment.

Central to the educational impact of RAISE is the emphasis on ethical decision-making. The curriculum is structured to ensure that ethical considerations are an integral part of the design process for AI systems. This approach will help future professionals in the field to think critically about the potential societal impacts of the technology they develop.

AI Applications and Implications

The RAISE program focuses on practical applications of AI and autonomous systems across several domains. One key area of research involves the development of technology that allows satellites to operate autonomously in space missions. This research has the potential to revolutionize space exploration and defense operations by enabling more efficient and autonomous satellite systems.

Another significant area of study within the RAISE program is algorithmic fairness. Researchers will explore the societal implications of machine learning algorithms and devise methods to integrate fairness into these systems. This research is crucial in ensuring that AI technologies do not perpetuate or exacerbate existing societal biases.

Multi-agent and intelligent systems research within RAISE aims to advance the technology that allows machines to communicate and collaborate effectively. This research could lead to breakthroughs in robotics, autonomous vehicles, and other areas where autonomous systems interact with humans and the environment.

Finally, the RAISE program will investigate extreme-scale computing, focusing on how distributed systems with limited training resources can perform machine learning tasks successfully. This research could have far-reaching implications for the scalability and efficiency of AI systems.

The RAISE program will not only foster groundbreaking research but also contribute to the development of a new generation of AI professionals who are well-equipped to navigate the ethical and technical challenges associated with AI and autonomous systems. By integrating ethical considerations into the curriculum, the RAISE program is setting a new standard for AI education and research.

Extreme-Scale Computing

The University of New Mexico (UNM) is at the forefront of technological innovation, particularly in the realm of extreme-scale computing. This cutting-edge field involves the use of distributed systems and machine learning to tackle complex challenges that require vast computational resources. The institution’s focus on this area is evident in its latest initiatives, which aim to address limited training resources and explore practical applications while overcoming significant challenges.

Distributed Systems and Machine Learning

Distributed systems and machine learning are two interconnected components that drive extreme-scale computing. Distributed systems involve the coordination of multiple computers to work together on a single task, allowing for the processing of enormous datasets and complex computations. Machine learning, on the other hand, enables these systems to learn from data and make predictions or decisions without being explicitly programmed.

At UNM, researchers are leveraging these technologies to develop advanced solutions in various domains. For instance, the RAISE program, funded by a nearly $3 million National Science Foundation grant, focuses on the ethical development and use of AI for autonomous systems. This initiative not only emphasizes the technical aspects of extreme-scale computing but also underscores the importance of ethical considerations in AI development.

Addressing Limited Training Resources

One of the primary challenges in extreme-scale computing is addressing limited training resources. Traditional machine learning models often require vast amounts of data and computational power for training, which can be a significant barrier. UNM’s research in this area aims to develop methods that enable distributed systems to perform machine learning tasks with limited resources.

Professor Meeko Oishi, lead investigator of the RAISE program, emphasizes the importance of this research. “The challenges are especially urgent when AI is employed in dynamical systems. We are interested in developing theories, methods, and algorithms in AI for autonomous systems that can help provide assurances about reliability as well as responsiveness to the human in the loop,” Oishi said. This focus on reliability and responsiveness is crucial for applications in robotics, autonomous vehicles, and other dynamic systems.

Practical Applications and Challenges

Extreme-scale computing has a wide range of practical applications, from space and defense autonomy to algorithmic fairness and multi-agent systems. At UNM, researchers are exploring these applications through various projects. For example, work on space and defense autonomy aims to create technology that enables satellites to operate independently in space missions. This has implications for national security and space exploration, where autonomous systems can perform tasks in environments too hazardous or impractical for human intervention.

Algorithmic fairness is another critical area of focus. Machine learning algorithms can inadvertently perpetuate biases present in their training data, leading to unfair outcomes. Research in this field seeks to build notions of fairness into AI systems, ensuring that they treat all individuals equitably. This is particularly relevant in areas such as healthcare, where biased algorithms could lead to disparities in treatment and care.

Multi-agent and intelligent systems research at UNM is advancing technology that allows machines to communicate with each other and achieve joint objectives in challenging environments. This has applications in fields such as autonomous vehicle fleets, where vehicles need to coordinate their movements to optimize traffic flow and safety.

The challenges in extreme-scale computing are manifold. Researchers must develop robust algorithms that can handle the complexities of distributed systems while ensuring ethical considerations are met. The RAISE program at UNM is addressing these challenges through interdisciplinary collaborations, bringing together experts from the Departments of Computer Science, Electrical and Computer Engineering, Mechanical Engineering, and Organization, Information and Learning Sciences. This collaborative approach ensures that students receive a comprehensive education that encompasses not only technical skills but also ethical decision-making.

Open Educational Resources: Supporting Student Success

In an era where technological advancements are reshaping education, UNM is committed to leveraging open educational resources (OER) to support student success. OER refers to educational materials that are freely available for use, reuse, and modification. These resources include textbooks, multimedia, assignments, and assessments, which can significantly reduce the cost of education and enhance learning outcomes.

LoboEats App: Combating Food Insecurity

One innovative initiative at UNM is the LoboEats App, developed in collaboration with UNM Food, Information Technologies (IT), and the Honors College. This platform addresses food waste and insecurity on campus by establishing a system for sharing surplus food while destigmatizing food insecurity.

App Development and Features

The LoboEats App was developed by UNM’s IT team in collaboration with computer science and economics alumnus Biraj Silwal and Honors College Associate Professor Sarita Cargas. The app provides a user-friendly interface for students to share surplus food with those in need, reducing food waste and addressing food insecurity.

The app features include:

• A platform for students to donate surplus food from campus dining halls and events.
• A system for students to request food when they are in need, maintaining anonymity to destigmatize food insecurity.
• Notifications for available food and pickup locations.
• An easy-to-use interface that allows for seamless interaction between donors and recipients.

Promoting Food Sharing and Reducing Waste

The LoboEats App promotes food sharing and reduces waste by creating a community-driven solution to food insecurity. By providing a platform for surplus food to be redistributed, the app helps minimize the amount of food that goes to waste while ensuring that those in need have access to nutritious meals. This not only supports the immediate needs of students but also fosters a culture of sharing and community support.

Destigmatizing Food Insecurity

Food insecurity is a sensitive issue, and many students may feel embarrassed or ashamed to seek help. The LoboEats App addresses this challenge by providing a discreet and dignified way for students to access food. The app maintains anonymity for those requesting food, ensuring that they do not feel stigmatized. This approach helps create a supportive environment where students can focus on their studies and well-being without the burden of food insecurity.

Zimmerman Library Renovation

The Zimmerman Library at UNM has undergone a transformative renovation, specifically focusing on classroom B30, to enhance the learning experience for students through innovative design and collaborative spaces.

Classroom B30 Transformation

Classroom B30, located in the basement of Zimmerman Library, has been completely redesigned to foster collaboration and active learning. The renovation includes:

• A total space rearrangement to create an open and flexible environment.
• Modern furniture and technology to support group work and interactive learning.
• Designated areas for different types of activities, such as group discussions, individual study, and hands-on projects.

Fostering Collaboration and Active Learning

The renovated B30 classroom is designed to promote collaboration and active learning. The open layout encourages interaction among students, while the modern furniture and technology support various learning activities. This design fosters a dynamic learning environment where students can engage in group projects, collaborative problem-solving, and hands-on experiments.

Impact on Student Experience

The impact of the Zimmerman Library renovation on student experience is significant. The new design of classroom B30 provides a space that is conducive to active learning and collaboration, which are essential for student success. By creating an environment that supports different learning styles and activities, the renovation enhances the overall educational experience at UNM.

Community Engagement and Events

UNM is committed to community engagement and hosting events that enrich the academic experience and foster a sense of community. From educational screenings to innovative health initiatives, these events reflect the university’s dedication to making a positive impact on both the campus and the broader community.

NMPBS Screening of ‘Learning Wild’

NMPBS invites the campus community and the general public to a free premiere screening of “Learning Wild,” a New Mexico story featuring UNM alum and Furman University Professor Travis Perry. The screening will be held on Saturday, Feb. 17, at the UNM Student Union Building (SUB) Theater. Doors open at 9:30 a.m., with the film starting at 10 a.m. Admission is free, but reservations are required via NMPBS.

This event provides an opportunity for the community to engage with a compelling narrative that highlights local talent and showcases the educational and cultural offerings of New Mexico.

UNM Hospital’s Centralized Check-In System

UNM Hospital has implemented a new centralized check-in (CCI) system for outpatient care, streamlining the check-in process and improving patient experience. As of Feb. 5, patients no longer check in at their respective clinics but instead use the centralized system.

This initiative aims to reduce wait times, minimize administrative burdens, and ensure a smoother, more efficient patient experience. The centralized system allows for better coordination and communication between different departments, enhancing the overall quality of care.

Rankings and Recognition of UNM Online Programs

The University of New Mexico’s online programs have received high rankings in the latest U.S. News & World Report 2024 Best Online Programs survey. Several programs were recognized, with three programs ranking in the top 50 and two in the top 25.

Overall, eight UNM programs were ranked, reflecting the institution’s commitment to excellence in online education. These rankings highlight the high quality of UNM’s online offerings, which provide flexible and accessible education to students nationwide. The recognition underscores UNM’s dedication to innovation and continuous improvement in delivering top-tier educational experiences.

AI Advancements at UNM: The RAISE Program

Groundbreaking Research: The RAISE Program

The University of New Mexico (UNM) has embarked on a significant venture in the realm of artificial intelligence (AI) and autonomous systems through the RAISE program. Funded through a $3 million National Science Foundation (NSF) National Research Traineeship program award, the RAISE program, headed by Professor Meeko Oishi from the Department of Electrical and Computer Engineering, aims to address pressing issues in the ethical use and development of AI. The project’s funding began in September 2023 and will last for five years, providing a robust timeline for achieving project objectives.

The RAISE project encompasses a variety of research areas, with a particular emphasis on developing AI systems that are reliable, responsive, and capable of operating autonomously. The project will explore the application of AI in space and defense autonomy, algorithmic fairness, multi-agent and intelligent systems, and extreme-scale computing. The interdisciplinary approach will allow researchers to tackle complex problems that require collaboration across varied academic departments.

Interdisciplinary Collaboration

The RAISE program is a testament to the power of interdisciplinary collaboration. The project brings together experts from the Department of Electrical and Computer Engineering, the Department of Computer Science, the Department of Mechanical Engineering, and the College of University Libraries and Learning Sciences. This collaboration is critical for addressing the multifaceted challenges associated with AI development, particularly in ensuring that these systems are developed responsibly and with a deep understanding of their ethical implications.

Through cross-disciplinary coursework, students will gain a comprehensive understanding of AI technologies and their applications. This includes courses that integrate ethical considerations into the design process, which is a unique aspect of the RAISE program. The inclusion of ethical decision-making in the curriculum will prepare students to navigate the complex trade-offs inherent in AI development.

Associate Professor Stephanie Moore, whose research focuses on learning design, ethics, and technology, is co-designing the curriculum to emphasize ethical considerations as design specifications. This approach ensures that future AI specialists are equipped with the tools to make informed decisions that align with societal values and ethical standards.

Educational Impact

The RAISE program introduces a new graduate certificate in artificial intelligence and autonomy, available to both master’s and Ph.D. students at UNM. This certificate is designed to offer specialized training in the ethical development and use of AI for autonomous systems. The program will train a new generation of AI specialists who are well-versed in the complexities of autonomous systems and the ethical considerations that accompany their development and deployment.

Central to the educational impact of RAISE is the emphasis on ethical decision-making. The curriculum is structured to ensure that ethical considerations are an integral part of the design process for AI systems. This approach will help future professionals in the field to think critically about the potential societal impacts of the technology they develop.

AI Applications and Implications

The RAISE program focuses on practical applications of AI and autonomous systems across several domains. One key area of research involves the development of technology that allows satellites to operate autonomously in space missions. This research has the potential to revolutionize space exploration and defense operations by enabling more efficient and autonomous satellite systems.

Another significant area of study within the RAISE program is algorithmic fairness. Researchers will explore the societal implications of machine learning algorithms and devise methods to integrate fairness into these systems. This research is crucial in ensuring that AI technologies do not perpetuate or exacerbate existing societal biases.

Multi-agent and intelligent systems research within RAISE aims to advance the technology that allows machines to communicate and collaborate effectively. This research could lead to breakthroughs in robotics, autonomous vehicles, and other areas where autonomous systems interact with humans and the environment.

Finally, the RAISE program will investigate extreme-scale computing, focusing on how distributed systems with limited training resources can perform machine learning tasks successfully. This research could have far-reaching implications for the scalability and efficiency of AI systems.

The RAISE program will not only foster groundbreaking research but also contribute to the development of a new generation of AI professionals who are well-equipped to navigate the ethical and technical challenges associated with AI and autonomous systems. By integrating ethical considerations into the curriculum, the RAISE program is setting a new standard for AI education and research.

Extreme-Scale Computing

The University of New Mexico (UNM) is at the forefront of technological innovation, particularly in the realm of extreme-scale computing. This cutting-edge field involves the use of distributed systems and machine learning to tackle complex challenges that require vast computational resources. The institution’s focus on this area is evident in its latest initiatives, which aim to address limited training resources and explore practical applications while overcoming significant challenges.

Distributed Systems and Machine Learning

Distributed systems and machine learning are two interconnected components that drive extreme-scale computing. Distributed systems involve the coordination of multiple computers to work together on a single task, allowing for the processing of enormous datasets and complex computations. Machine learning, on the other hand, enables these systems to learn from data and make predictions or decisions without being explicitly programmed.

At UNM, researchers are leveraging these technologies to develop advanced solutions in various domains. For instance, the RAISE program, funded by a nearly $3 million National Science Foundation grant, focuses on the ethical development and use of AI for autonomous systems. This initiative not only emphasizes the technical aspects of extreme-scale computing but also underscores the importance of ethical considerations in AI development.

Addressing Limited Training Resources

One of the primary challenges in extreme-scale computing is addressing limited training resources. Traditional machine learning models often require vast amounts of data and computational power for training, which can be a significant barrier. UNM’s research in this area aims to develop methods that enable distributed systems to perform machine learning tasks with limited resources.

Professor Meeko Oishi, lead investigator of the RAISE program, emphasizes the importance of this research. “The challenges are especially urgent when AI is employed in dynamical systems. We are interested in developing theories, methods, and algorithms in AI for autonomous systems that can help provide assurances about reliability as well as responsiveness to the human in the loop,” Oishi said. This focus on reliability and responsiveness is crucial for applications in robotics, autonomous vehicles, and other dynamic systems.

Practical Applications and Challenges

Extreme-scale computing has a wide range of practical applications, from space and defense autonomy to algorithmic fairness and multi-agent systems. At UNM, researchers are exploring these applications through various projects. For example, work on space and defense autonomy aims to create technology that enables satellites to operate independently in space missions. This has implications for national security and space exploration, where autonomous systems can perform tasks in environments too hazardous or impractical for human intervention.

Algorithmic fairness is another critical area of focus. Machine learning algorithms can inadvertently perpetuate biases present in their training data, leading to unfair outcomes. Research in this field seeks to build notions of fairness into AI systems, ensuring that they treat all individuals equitably. This is particularly relevant in areas such as healthcare, where biased algorithms could lead to disparities in treatment and care.

Multi-agent and intelligent systems research at UNM is advancing technology that allows machines to communicate with each other and achieve joint objectives in challenging environments. This has applications in fields such as autonomous vehicle fleets, where vehicles need to coordinate their movements to optimize traffic flow and safety.

The challenges in extreme-scale computing are manifold. Researchers must develop robust algorithms that can handle the complexities of distributed systems while ensuring ethical considerations are met. The RAISE program at UNM is addressing these challenges through interdisciplinary collaborations, bringing together experts from the Departments of Computer Science, Electrical and Computer Engineering, Mechanical Engineering, and Organization, Information and Learning Sciences. This collaborative approach ensures that students receive a comprehensive education that encompasses not only technical skills but also ethical decision-making.

Open Educational Resources: Supporting Student Success

In an era where technological advancements are reshaping education, UNM is committed to leveraging open educational resources (OER) to support student success. OER refers to educational materials that are freely available for use, reuse, and modification. These resources include textbooks, multimedia, assignments, and assessments, which can significantly reduce the cost of education and enhance learning outcomes.

LoboEats App: Combating Food Insecurity

One innovative initiative at UNM is the LoboEats App, developed in collaboration with UNM Food, Information Technologies (IT), and the Honors College. This platform addresses food waste and insecurity on campus by establishing a system for sharing surplus food while destigmatizing food insecurity.

App Development and Features

The LoboEats App was developed by UNM’s IT team in collaboration with computer science and economics alumnus Biraj Silwal and Honors College Associate Professor Sarita Cargas. The app provides a user-friendly interface for students to share surplus food with those in need, reducing food waste and addressing food insecurity.

The app features include:

• A platform for students to donate surplus food from campus dining halls and events.
• A system for students to request food when they are in need, maintaining anonymity to destigmatize food insecurity.
• Notifications for available food and pickup locations.
• An easy-to-use interface that allows for seamless interaction between donors and recipients.

Promoting Food Sharing and Reducing Waste

The LoboEats App promotes food sharing and reduces waste by creating a community-driven solution to food insecurity. By providing a platform for surplus food to be redistributed, the app helps minimize the amount of food that goes to waste while ensuring that those in need have access to nutritious meals. This not only supports the immediate needs of students but also fosters a culture of sharing and community support.

Destigmatizing Food Insecurity

Food insecurity is a sensitive issue, and many students may feel embarrassed or ashamed to seek help. The LoboEats App addresses this challenge by providing a discreet and dignified way for students to access food. The app maintains anonymity for those requesting food, ensuring that they do not feel stigmatized. This approach helps create a supportive environment where students can focus on their studies and well-being without the burden of food insecurity.

Zimmerman Library Renovation

The Zimmerman Library at UNM has undergone a transformative renovation, specifically focusing on classroom B30, to enhance the learning experience for students through innovative design and collaborative spaces.

Classroom B30 Transformation

Classroom B30, located in the basement of Zimmerman Library, has been completely redesigned to foster collaboration and active learning. The renovation includes:

• A total space rearrangement to create an open and flexible environment.
• Modern furniture and technology to support group work and interactive learning.
• Designated areas for different types of activities, such as group discussions, individual study, and hands-on projects.

Fostering Collaboration and Active Learning

The renovated B30 classroom is designed to promote collaboration and active learning. The open layout encourages interaction among students, while the modern furniture and technology support various learning activities. This design fosters a dynamic learning environment where students can engage in group projects, collaborative problem-solving, and hands-on experiments.

Impact on Student Experience

The impact of the Zimmerman Library renovation on student experience is significant. The new design of classroom B30 provides a space that is conducive to active learning and collaboration, which are essential for student success. By creating an environment that supports different learning styles and activities, the renovation enhances the overall educational experience at UNM.

Community Engagement and Events

UNM is committed to community engagement and hosting events that enrich the academic experience and foster a sense of community. From educational screenings to innovative health initiatives, these events reflect the university’s dedication to making a positive impact on both the campus and the broader community.

NMPBS Screening of ‘Learning Wild’

NMPBS invites the campus community and the general public to a free premiere screening of “Learning Wild,” a New Mexico story featuring UNM alum and Furman University Professor Travis Perry. The screening will be held on Saturday, Feb. 17, at the UNM Student Union Building (SUB) Theater. Doors open at 9:30 a.m., with the film starting at 10 a.m. Admission is free, but reservations are required via NMPBS.

This event provides an opportunity for the community to engage with a compelling narrative that highlights local talent and showcases the educational and cultural offerings of New Mexico.

UNM Hospital’s Centralized Check-In System

UNM Hospital has implemented a new centralized check-in (CCI) system for outpatient care, streamlining the check-in process and improving patient experience. As of Feb. 5, patients no longer check in at their respective clinics but instead use the centralized system.

This initiative aims to reduce wait times, minimize administrative burdens, and ensure a smoother, more efficient patient experience. The centralized system allows for better coordination and communication between different departments, enhancing the overall quality of care.

Rankings and Recognition of UNM Online Programs

The University of New Mexico’s online programs have received high rankings in the latest U.S. News & World Report 2024 Best Online Programs survey. Several programs were recognized, with three programs ranking in the top 50 and two in the top 25.

Overall, eight UNM programs were ranked, reflecting the institution’s commitment to excellence in online education. These rankings highlight the high quality of UNM’s online offerings, which provide flexible and accessible education to students nationwide. The recognition underscores UNM’s dedication to innovation and continuous improvement in delivering top-tier educational experiences.