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Wheat is becoming more climate-resilient through nature-based plant breeding and machine learning
Nitrogen fertilizers used in agriculture contribute significantly to global warming. A new breeding concept, specifically for ...
At a recent discussion among workforce leaders, educators, employers, and policymakers in the metro area, leaders identified ...
Students gave their consent that their stories could be used for research purposes and might be published. Out of a class of ...
AI-trained data analysis models may offer a more rapid and accurate detection of a range of neurologic conditions, including ...
Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature ...
This live event will explore the critical role of data fusion, machine learning and edge AI in enabling the Golden Dome’s ...
Researchers from Sun Yat-sen University’s Shenzhen Campus, led by WenYuan Yang and Gege Jianga, have developed a decentralized federated learning framework, DFUN-KDF, to enhance UAV network efficiency ...
Renmin University researchers present a comprehensive survey of sampling- and sketch-based algorithms for distinct value estimation in big data, offering insights to accelerate database queries, ...
Mild cognitive impairment (MCI) and dementia pose significant health challenges in aging societies, emphasizing the need for accessible, cost-effective, and noninvasive diagnostic tools.
With this, SKT has released a total of four models as open source, including two AX 3.1 models (standard, lightweight) based on the from-scratch method and two AX 4.0 models (standard, lightweight) ...
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Tech Xplore on MSNPlatform can make machine learning more transparent and accessible
What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...
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