From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...
The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...
Researchers used 1 million data points and a machine learning algorithm to estimate groundwater stores with higher resolution ...
(2026) AI Assisted Material Selection Framework for Corrosion Resistant Steels in Onshore Oil and Gas Pipelines. Open Journal ...
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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 ...
Machine learning (ML) and deep learning (DL) as two well-known methods of artificial intelligence (AI) have emerged as powerful tools in extracting insights and patterns from vast amounts of data. In ...
Introduction Accurate preoperative assessment of lymph node metastasis (LNM) is a key determinant of treatment selection in early gastric cancer (EGC), particularly when choosing between endoscopic ...
Central Banking’s regtech and suptech interviews are in‑depth exploration of the pioneering work at central banks and ...
On January 5, 2026, The dsm-firmenich Running Team, home to marathon icon Eliud Kipchoge, announced a revolutionary ...
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