Formal Verification
Mathematical methods for proving that hardware, software or protocols satisfy precisely stated properties under explicit assumptions.
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Clear searchMathematical methods for proving that hardware, software or protocols satisfy precisely stated properties under explicit assumptions.
Systems that retrieve external evidence at query time and supply it to a generative language component before producing an answer.
Computing architectures that use brain-inspired event-driven neurons, synapses and memory-compute integration.
Cryptographic protocols that prove a statement is true without revealing the secret witness that makes it true.
Machine learning for sequential decisions in which an agent improves behaviour from rewards generated through interaction.
Collective problem-solving that emerges from local interactions among many comparatively simple autonomous agents.
Neural-network systems that model relationships among tokens using attention and parallel sequence processing.
Distributed machine learning that coordinates model training across data holders without centralising their raw records.
Cryptographic methods that permit selected computations on encrypted data without first revealing the plaintext.
Machine-learning architectures that learn representations from entities connected by relational structure.
How distributed participants agree on an ordered ledger despite delays, failures and conflicting proposals.
Layered computational models that learn distributed representations by adjusting weighted connections from data.