From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
Chinese tech giant ByteDance finalized its agreement to sell a majority stake in its video platform TikTok to a group of US ...
The tech tool has been subject to criticism and controversy since being launched by the department five years ago.
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 ...
Professor Niusha Shafiabady is Head of Discipline for IT and the Director of Women in AI for Social Good lab at ACU at Australian Catholic University. She is an internationally recognised expert ...
Finally, the organizations that implement quantum-inspired techniques will have a headstart on quantum computing as the ...
Ricursive Intelligence, founded by two former Google researchers and valued at $4 billion, is among several efforts to ...
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
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 ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...
People with spinal cord injuries often lose movement even though their brains still send the right signals. Researchers ...
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