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My New AI bot! Ideally for Beginners! (Real showcasting!)
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LLM-KT: A Flexible Framework for Enhancing Collaborative Filtering Models with Embedded LLM-Generated Features
Collaborative Filtering (CF) is widely used in recommender systems to match user preferences with items but often struggles with complex relationships and adapting to evolving user interactions. Recently, researchers have explored using LLMs to enhance […]
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Tech leaders congratulate Trump on winning 2024 election
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Tech leaders said they are ready to work with the new Trump administration, stating that American […]
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Meet Crysta | Your AI Guide at Crystal Clean | Our vision for a Crystal Clean Pakistan
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AI hallucinations gone wrong as Alaska uses fake stats in policy
The combination of artificial intelligence and policymaking can occasionally have unforeseen repercussions, as seen recently in Alaska. In an unusual turn of events, Alaska legislators reportedly used AI-generated citations that were inaccurate to justify a […]
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UniMTS: A Unified Pre-Training Procedure for Motion Time Series that Generalizes Across Diverse Device Latent Factors and Activities
Recognition of human motion using time series from mobile and wearable devices is commonly used as key context information for various applications, from health condition monitoring to sports activity analysis to user habit studies. However, […]
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AI News: Unbelievable news on Nov 5, 2024 – You Won’t Believe What’s Next! #aiunveiled #nextgenai
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Nintendo’s 1st half sales drop 34% as Switch shows its age
Nintendo reported that sales for the first half of 2024 fell 34.1% to 523.2 billion yen ($3.43 billion) as it saw a slowdown in sales for Nintendo Switch hardware and games. And in the mobile […]
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5. Supervised Learning Algorithms – AI Course for Beginners | Short Series
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pEBR: A Novel Probabilistic Embedding based Retrieval Model to Address the Challenges of Insufficient Retrieval for Head Queries and Irrelevant Retrieval for Tail Queries
Creating a common semantic space where queries and items can be represented as dense vectors is the main goal of embedding-based retrieval. Instead of depending on precise keyword matches, this method enables effective matching based […]
