We are excited to present an advancement in the management of lithium-ion battery performance, a critical component in the transition towards sustainable energy. Our team from the School of Engineering, Technology, and Design at Canterbury Christ Church University, U.K., has focused on utilizing machine/deep learning to enhance the State of Charge (SOC) estimation for lithium-ion batteries, particularly those being repurposed for second-life applications.We are excited to present an advancement in the management of lithium-ion battery performance, a critical component in the transition towards sustainable energy. Our team from the School of Engineering, Technology, and Design at Canterbury Christ Church University, U.K., has focused on utilizing machine/deep learning to enhance the State of Charge (SOC) estimation for lithium-ion batteries, particularly those being repurposed for second-life applications.Energy & Green Tech[#item_full_content]

A team of Chinese scientists has established a novel brain-inspired network model based on internal complexity to address challenges faced by traditional models, such as high consumption of computing resources, according to the Institute of Automation under the Chinese Academy of Sciences.A team of Chinese scientists has established a novel brain-inspired network model based on internal complexity to address challenges faced by traditional models, such as high consumption of computing resources, according to the Institute of Automation under the Chinese Academy of Sciences.Computer Sciences[#item_full_content]

A team of AI researchers and computer scientists from Cornell University, the University of Washington and the Allen Institute for Artificial Intelligence has developed a benchmarking tool called WILDHALLUCINATIONS to evaluate the factuality of multiple large language models (LLMs). The group has published a paper describing the factors that went into creating their tool on the arXiv preprint server.A team of AI researchers and computer scientists from Cornell University, the University of Washington and the Allen Institute for Artificial Intelligence has developed a benchmarking tool called WILDHALLUCINATIONS to evaluate the factuality of multiple large language models (LLMs). The group has published a paper describing the factors that went into creating their tool on the arXiv preprint server.Computer Sciences[#item_full_content]

Artificial intelligence (AI) and machine learning tools have proved to be highly effective in tackling various tasks that entail analyzing data and making accurate predictions. Despite their advantages, these tools have significant computational demands, and when running on existing processing units, they can consume a lot of energy.Artificial intelligence (AI) and machine learning tools have proved to be highly effective in tackling various tasks that entail analyzing data and making accurate predictions. Despite their advantages, these tools have significant computational demands, and when running on existing processing units, they can consume a lot of energy.Electronics & Semiconductors[#item_full_content]