#31 - Kesh Kesavadas, VP of Research and Economic Development at SUNY Albany
Jan 24, 2024
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Join Kesh Kesavadas, VP of Research and Economic Development at SUNY Albany, as he discusses the future of higher education and the integration of AI. Discover his journey from engineering to medicine and his current role at SUNY Albany. Explore the impact of data-driven approaches and the exciting possibilities of generative AI in education.
Multidisciplinary collaborations are becoming more prevalent in research, leading to innovative solutions for complex problems.
Generative AI is being integrated into higher education to equip students with foundational knowledge and explore its potential applications in various fields.
Deep dives
Multidisciplinary research and data-driven approaches are prevalent trends
One main trend in research is the growing prevalence of multidisciplinary collaborations, with researchers from different fields working together to tackle complex problems. This is in contrast to the past where individual grants were more common. Another trend is the increasing impact of data-driven approaches, particularly in the era of AI and machine learning. Data analysis and machine learning techniques are being applied to various fields, such as drug discovery and predictive modeling, leading to more accurate and efficient solutions.
The integration of generative AI in higher education
Generative AI is becoming increasingly important and is being integrated into higher education. Programs like AI Plus at the University at Albany are introducing AI to students across different disciplines, ensuring they have a foundational knowledge of AI and its potential applications. Additionally, the university has invested in advanced computing resources to support faculty and student research in generative AI. The goal is to prepare students to fully utilize generative AI in their respective fields and to explore its potential for research and innovation.
The use of generative AI in mental health
One specific application of generative AI that is being explored is in the field of mental health. The University at Albany has launched a center for AI in mental health, aiming to use AI technology to improve training, provide insights into thought processes, and assist in triaging mental health cases. By developing a foundation model that is fine-tuned for mental health applications, AI can help in triaging and providing accurate diagnostics to patients. This technology could address the shortage of mental health providers and improve access to timely and effective care.
The future of AI and emerging trends
Looking ahead, the future of AI holds promising advancements. One potential trend is the development of next-generation hardware, including GPUs and chips, which may revolutionize AI computing and enable more energy-efficient and powerful systems. This could lead to the integration of AI into a wide range of applications, such as advanced medical devices, self-aware robots, and consumer electronics. Additionally, there is a growing focus on using AI in areas like weather prediction, disaster relief decision-making, and drug discovery. These advancements have the potential to significantly impact various industries and transform the way we approach research, healthcare, and daily life.
Discover the future of higher education in an engaging conversation with Kesh Kesavadas, the VP of Research and Economic Development at SUNY Albany. Learn how Kesh and his team are pioneering GenAI integration in universities, equipping students with essential skills for tomorrow's world. Explore the exciting possibilities of AI-driven academia.
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