Researchers from several physics and geology laboratories have developed Deep Emulator Network SEarch (DENSE), a technique for using deep-learning to perform scientific simulations from various fields from high-energy physics to climate science. Compared to previous simulators, the results from DENSE achieved speedups ranging from 10 million to 2 billion times.

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Join senior developers in Boston for insights on AI, scalable architectures, and more. June 9-10, 2025. Early bird pricing available.

Join senior developers in Boston for insights on AI, scalable architectures, and more. June 9-10, 2025. Early bird pricing available.

Researchers from several physics and geology laboratories have developed Deep Emulator Network SEarch (DENSE), a technique for using deep-learning to perform scientific simulations from various fields from high-energy physics to climate science. Compared to previous simulators, the results from DENSE achieved speedups ranging from 10 million to 2 billion times.

Join senior developers in Boston for insights on AI, scalable architectures, and more. June 9-10, 2025. Early bird pricing available.