The integration of artificial intelligence in agriculture has revolutionized farming practices, enhancing crop yields and resource efficiency. However, existing machine learning systems primarily focus on livestock, o...
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Pairing Li-free transition-metal-based cathodes（MX） with Li-metal anodes is an emerging trend to overcome the energy-density limitation of current rechargeable Li-ion ***,the development of practical Li-free MX cath...
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Pairing Li-free transition-metal-based cathodes（MX） with Li-metal anodes is an emerging trend to overcome the energy-density limitation of current rechargeable Li-ion ***,the development of practical Li-free MX cathodes is plagued by the existing notion of low voltage due to the long-term overlo oked voltage-tuning/phase-stability ***,we propose a p-type alloying strategy involving three voltage/phase-evolution stages,of which each of the varying trends are quantitated by two improved ligand-field descriptors to balance the above *** this,an intercalation-type 2H-V1.75Cr0.25S4cathode tuned from layered MX2family is successfully designed,which possesses an energy density of 554.3 Wh kg-1at the ele ctrode level accompanied by interfacial compatibility with sulfide solid-state ele *** propos al of this class of materials is expected to break free from scarce or high-cost transition-metal（*** and Ni） reliance in current commercial *** experiments further confirm the voltage and energy-density gains of *** strategy is not limited to specific Li-free cathodes and offers a solution to achieve high voltage and phase stability simultaneously.
ChatGPT can improve software engineering (SE) research practices by offering efficient, accessible information analysis, and synthesis based on natural language interactions. However, ChatGPT could bring ethical chall...
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As the underlying implementation technology of the current main-stream digital currency, blockchain can establish a trusted distributed system without relying on third-party trusted institutions or a privacy-protect s...
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Memory is one of the most essential cognitive functions serving as a repository of world knowledge and episodes of activities. In recent years, large-scale pre-trained language models have shown remarkable memorizing ...
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Digital filters, a subclass of linear time-invariant systems, are widely used in signal processing and control systems. A digital filter performs mathematical operations on a sampled, discrete-time signal to reduce or...
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Since OpenAI opened access to ChatGPT,large language models(LLMs)become an increasingly popular topic attracting researchers’attention from abundant ***,public researchers meet some problems when developing LLMs give...
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Since OpenAI opened access to ChatGPT,large language models(LLMs)become an increasingly popular topic attracting researchers’attention from abundant ***,public researchers meet some problems when developing LLMs given that most of the LLMs are produced by industries and the training details are typically *** datasets are an important setup of LLMs,this paper does a holistic survey on the training datasets used in both the pre-train and fine-tune *** paper first summarizes 16 pre-train datasets and 16 fine-tune datasets used in the state-of-the-art ***,based on the properties of the pre-train and fine-tune processes,it comments on pre-train datasets from quality,quantity,and relation with models,and comments on fine-tune datasets from quality,quantity,and *** study then critically figures out the problems and research trends that exist in current LLM *** study helps public researchers train and investigate LLMs by visual cases and provides useful comments to the research community regarding data *** the best of our knowledge,this paper is the first to summarize and discuss datasets used in both autoregressive and chat *** survey offers insights and suggestions to researchers and LLM developers as they build their models,and contributes to the LLM study by pointing out the existing problems of LLM studies from the perspective of data.
This paper proposes a framework integrating Rate Splitting Multiple Access (RSMA), semantic communications, and generative AI for optimizing next-generation wireless networks. We present a unified model that combines ...
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With the development of digital currencies and 5G technology, blockchain has gained widespread attention and is being used in areas such as healthcare, industry and smart vehicles. Many security issues have also been ...
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Satisfiability Modulo Theories (SMT) has significant application in various domains. In this paper, we focus on quantifier-free Satisfiablity Modulo Real Arithmetic, referred to as SMT(RA), including both linear and n...
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