Google is depending on thousands of contractors to train the AI behind its flagship chatbot Gemini. As The Guardian reports, many of these "AI raters," tasked with instructing the model and correcting ...
Google's new Data Transfer Essentials is designed to enable enterprises to transfer data between clouds at no cost for supported Google services, aligning with the EU Data Act and aiming to reduce ...
Abstract: Federated learning (FL) presents a promising paradigm for decentralized machine learning, particularly well-suited for data-sensitive cyber-physical systems (CPS) where privacy preservation ...
Abstract: we provide a new method for classifying pest images using the Efficient NetV2L convolution neural network architecture. Our model has a high degree of accuracy in identifying agricultural ...
Having signed superstar striker Alexander Isak from Newcastle on deadline day in a blockbuster £125M transfer deal, plenty of Liverpool fans were disappointed to see the player immediately fly off to ...
Large-scale pretraining for seismic monitoring remains challenging due to the lack of effective pretraining algorithms, the high cost of training, and the significant variations across existing ...
We use the stock selection benchmark dataset from https://github.com/fulifeng/Temporal_Relational_Stock_Ranking/tree/master. To prepare the data: feature_describe ...
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