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 ...
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.
Researchers used 1 million data points and a machine learning algorithm to estimate groundwater stores with higher resolution ...
Data inconsistencies arise when formats, units, or collection practices change over time, undermining model reliability. Poor ...
Businesses with a Mac-first strategy have long enjoyed the perception of inherent security from the Unix-based operating ...
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 ...
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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 ...
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