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Forget scaling compute – the future of AI hinges on a 1000x leap in energy efficiency via tight AI+Hardware co-design over the next decade.
Forget expensive data generation and unstable PINNs: this method trains neural PDE solvers with cheap, noisy Monte Carlo estimates, achieving up to 8.75x improvement in L2 error.
Bridge the semantic gap between neural network execution and analysis with TorchLean, a framework that brings fully formal, end-to-end verification of learning-enabled systems into the Lean 4 theorem prover.
