In today’s digital age, data analytics has emerged as a pivotal force shaping the landscape of industries worldwide. As ...
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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 ...
Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
Artificial Intelligence and Data Science are among the fastest-growing and most transformative domains in technology today, driving innovation across industries such as healthcare, finance, retail, ...
Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...
Ricursive Intelligence, founded by two former Google researchers and valued at $4 billion, is among several efforts to ...
At a hackathon over the weekend, students worked with real brain data to create new tools for brain-machine systems. The post Students hack their way into the future of brain-computer interfaces ...
Nintendo’s original Pokémon games are becoming a popular and strangely effective way to test and benchmark new artificial-intelligence models. “We’re all a whole bunch of nerds,” said the man behind ...
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