Abstract: Presently, the exponential growth of unstructured data on the web and social networks has made it increasingly ... This paper presents a novel Deep Learning (DL)-based text summarization ...

Read the 20 winning stories. By The Learning Network This year’s Super Bowl was likely the biggest wagering event in U.S. sports betting history. Is legalized gambling hurting fans and sports?

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. Deep Learning Containers provide optimized environments ...

However, existing methods show inadequate utilization of the signals' sequential characteristics. Addressing these gaps, this paper introduces the Spatio-Temporal Feature Extraction Network (STFEN), ...

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark ...

At the core of EasyDAM_V4 lies a multi-dimensional phenotypic feature extraction technique, which integrates deep learning and latent space modeling to enhance fruit image translation. The method ...

Gemini 1.5 Pro LLM model currently powers Deep Research in Gemini for iPhone. Google will soon use the Gemini 2.0 Pro model once it gets out of the experimental phase. As of now, it’s not clear ...

A cutting-edge AI method, EasyDAM_V4, is set to transform fruit detection in agriculture by enabling automatic labeling of ...

3 A pipeline of image quality control, preprocessing, deep-learning feature extraction, and a survival model were generated based on serial CT scans. The AI model was then validated using additional ...

2 Researchers developed a multi-step pipeline incorporating image quality control, preprocessing, deep-learning feature extraction, and survival modeling based on serial CT scans. The model was ...

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