Tianyi Chen, an associate professor at Cornell Tech and Cornell Engineering, is revolutionizing artificial intelligence by exploring a crucial question: How can AI make smarter, balanced decisions similar to human reasoning? By applying deep mathematical insights, Chen develops algorithms that enable AI to manage multiple priorities—accuracy, fairness, efficiency, and reliability—rather than focusing on a single outcome. This innovative approach promises to enhance the reliability of generative AI tools and improve the energy efficiency of AI chips powering large-scale computing systems. His groundbreaking work has already resulted in patented innovations through collaborations with IBM. By prioritizing balanced decision-making in AI, Chen is pushing the boundaries of the technology, paving the way for more adaptable and trustworthy AI applications. For further insights into his research, visit the Cornell Tech website.
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