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 ...

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

Ulster University's Dr Sunish Kumar Orappanpara Soman focuses on quantum networking and high-speed communications.

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

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

Ricursive Intelligence, founded by two former Google researchers and valued at $4 billion, is among several efforts to ...

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

Chinese tech giant ByteDance finalized its agreement to sell a majority stake in its video platform TikTok to a group of US ...

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 ...

Solar cells, devices that convert sunlight into electricity, are helping to reduce greenhouse gas emissions worldwide, ...