How edge machine learning and telematics SaaS replaced manual mileage logs. The market, vendor architectures, and procurement ...
Abstract: This article proposes a technique to improve the performance of power systems that are subjected to random topology changes and communication-related latencies. A Markov jump system ...
Abstract: This paper proposes a speech synthesis technique based on a neural sequence-to-sequence (Seq2Seq) model that incorporates the structure of hidden semi-Markov models (HSMMs). Although Seq2Seq ...
According to Anthropic (@AnthropicAI) and co-author Owain Evans (@OwainEvans_UK), a peer-reviewed Nature paper shows large language models can transmit latent traits—such as preferences or ...
A large language model that is trained using AI outputs can inherit undesirable behaviours, even if they are not directly referenced in the training data. Work this year has shown that AI models that ...
In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, could help orthopedic physicians predict when a patient might encounter a bone ...
A new study suggests that growing reliance on generative AI may be reshaping not only learning behaviors but also the very foundation of trust in educational tools. In view of this development, ...