TrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, ...

The Massachusetts Institute of Technology (MIT) has been using large language models (LLMs) to detect errors in data recorded over time without the need for training. MIT researchers hope the new ...

Quantum Circuits’ error-detecting dual-rail qubits innovation allows errors to be detected and corrected first to avoid disrupting performance at scale. This system will enable a 10x reduction in ...

The ability to detect and deal with errors when manipulating quantum systems is a fundamental requirement for fault-tolerant quantum computing. Unlike classical bits that are subject to only ...