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This article details how three MIT graduates joined IBM to bridge academic research with practical deployment of large language models and robotics systems. Their work emphasizes a collaborative approach to building AI that is safe, robust, and fair, leveraging the specific infrastructure of the MIT-IBM Computing Research Lab. The focus remains squarely on advancing industrial applications of artificial intelligence rather than general corporate news or unrelated tech sectors.
IBM hires MIT grads to speed up AI and quantum work
MIT grads, Srinivasan Arunachalam, Zhang-Wei Hong, & Irene Ko—now at IBM—leveraged the MIT-IBM Computing Research Lab to apply their expertise to AI & quantum deployment.
Zhang-Wei Hong PhD ‘25 traces his fascination with artificial intelligence back to watching DeepMind play Atari, a spark that ultimately led him from MIT to IBM. Hong, alongside Srinivasan Arunachalam and Irene Ko PhD ‘24, used connections fostered by the MIT-IBM Computing Research Lab to translate theoretical research into practical applications. “Among all the industrial labs, I think MIT-IBM has better academic collaboration policy and opportunity than the others,” Hong says, highlighting how the lab facilitated a seamless transition from academia to addressing real-world challenges in areas like robotics and large language models. This collaborative pathway is now driving innovation at IBM, with the trio applying their expertise to build more robust and inquisitive AI systems. Zhang-Wei…
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