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In the ever-evolving realm of academic research, AI tools are increasingly taking center stage. They not only facilitate efficient literature reviews by presenting key information, but also find overlooked insights. AI research tools, like Concensus, offer immense benefits in scientific research. The Technical Performance section of this year’s AI Index provides a comprehensive overview of AI advancements in 2024.
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These articles cover a wide range of topics on how AI is transforming the analysis and management of big data. Whether you are a business professional, a data scientist, or simply interested in the latest advancements in artificial intelligence, these top-rated articles are a must-read. Recommender systems are a crucial aspect of artificial intelligence, helping users discover the best content and products tailored to their preferences. From highly influential research papers to popular industry publications, here are the top AI articles on recommender systems with the highest ratings and most widespread popularity.
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Similarly face recognition or autofocus methods must be trained on a broad range of skin types and facial features to avoid failure for certain ethnic groups or genders. However, throughout the lifetime of a trained AI system, the complexity of data it processes is likely to grow, so even a network originally trained with balanced data may consequently establish some bias. A review of various sources of bias in ML is provided in Ntoutsi et al. (2020). To convert 2D to 3D representations (including 2D+t to 3D), the first step is normally depth estimation, which is performed using stereo or multi-view RGB camera arrays.
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This is normally achieved by exploiting spatial redundancy through transform-based decorrelation followed by variable length, voice commerce quantization and symbol encoding. While video can also be encoded as a series of still images, significantly higher coding gains can be achieved if temporal redundancies are also exploited. In this case the encoder processes the low energy residual signal remaining after prediction, rather than the original frame. A thorough coverage of image and video compression methods is provided by Bull and Zhang (2021). Object tracking is the temporal process of locating objects in consecutive video frames.
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If not, then look into getting certified through a training program that best suits the criteria of your alternative job certification. In most cases, you'll need to handle essential customer service duties and have a basic knowledge of using a machine. Plus, the pay is usually pretty good, primarily if you work for a large company.
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