MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.

The optimisation of GPU kernels through performance tuning and auto-tuning approaches has become essential in maximising computational efficiency on modern heterogeneous architectures. Researchers ...

A paper recently published in the journal Scientific Reports proposed the use of machine learning for cross-architecture tuning of silicon-germanium (SiGe) and silicon (Si)-based devices. The ...

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Quantum hardware is starting to hit a wall that has little to do with flashy new qubit designs and everything to do with how precisely those qubits are tuned. As devices scale, tiny errors in charge ...