From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

Finally, the organizations that implement quantum-inspired techniques will have a headstart on quantum computing as the ...

The tech tool has been subject to criticism and controversy since being launched by the department five years ago.

Researchers develop an AI tool to predict cardiometabolic multimorbidity risk in type 2 diabetes, aiding early intervention and personalised care. Find out more.

Machine learning and other modeling approaches could aid in forecasting the arrival of floating Sargassum rafts that clog ...

Researchers used 1 million data points and a machine learning algorithm to estimate groundwater stores with higher resolution ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

Data inconsistencies arise when formats, units, or collection practices change over time, undermining model reliability. Poor ...

Wave Quantum Inc. (NYSE: QBTS) ("D-Wave" or the "Company"), the only dual-platform quantum computing company, providing ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty.