DOE’s Genesis Mission Drives Data and Quantum Computing Talks

Researchers from U.S. Department of Energy (DOE) national laboratories, universities, and industry convened for the Monterey Data Conference 2026, a meeting initiated in 2019 that this year highlighted advances in scientific data analysis and computing. The 2026 conference, with over 200 participants, focused on Acceleration and its connection to the DOE’s Genesis Mission.

“MDC has grown in size and impact every year,” said NERSC Director Sudip Dosanjh, a co-founder of the conference, noting discussions included machine learning and disruptive technologies like quantum computing. Ana Kupresanin of Lawrence Berkeley National Laboratory added that acceleration also comes from reducing friction around data access and reuse.

Integrated Computing Platforms Support DOE’s Genesis Mission

The conference agenda prominently featured discussions on building and exploiting integrated computing platforms, directly addressing a core tenet of the DOE’s Genesis Mission and the forthcoming American Science Cloud. Sessions explored how these platforms will underpin scientific discovery by enhancing data accessibility and usability for researchers across multiple facilities. Beyond infrastructure, the conference examined agentic scientific intelligence and reasoning-based discovery methods, alongside the potential of scientific foundation models and applications merging classical and quantum computing.

Kathy Yelick, director of Lawrence Berkeley National Laboratory, framed these advancements within the broader context of “Science in the Age of AI” with her opening presentation, signaling a shift towards data-driven research paradigms. Participants also examined quantum supercomputing, indicating a growing interest in using quantum systems to address complex scientific challenges.

This year there were over 200 participants from universities, laboratories and industry-scientists, computer scientists and computer architects discussing advances in data analysis and machine learning, as well as disruptive technologies like quantum computing.

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With a keen intuition for emerging technologies, The Neuron brings over 5 years of deep expertise to the AI conversation. Coming from roots in software engineering, they've witnessed firsthand the transformation from traditional computing paradigms to today's ML-powered landscape. Their hands-on experience implementing neural networks and deep learning systems for Fortune 500 companies has provided unique insights that few tech writers possess. From developing recommendation engines that drive billions in revenue to optimizing computer vision systems for manufacturing giants, The Neuron doesn't just write about machine learning—they've shaped its real-world applications across industries. Having built real systems that are used across the globe by millions of users, that deep technological bases helps me write about the technologies of the future and current. Whether that is AI or Quantum Computing.

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