Abstract: The efficiency of variational autoencoders (VAEs) and its expansions is the major topic of this study, which investigates the potential of deep learning variational encoders in the field of ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Lowering barriers to explainable AI: Control technique for LLMs reduces resource demands by over 90%
Large language models (LLMs) such as GPT and Llama are driving exceptional innovations in AI, but research aimed at improving ...
Researchers have developed a new way to compress the memory used by AI models to increase their accuracy in complex tasks or help save significant amounts of energy.
Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
Abstract: Today's process industries are investing heavily in the field of process safety and efficiency so as to ensure that the plant is running at the optimal conditions and the overall profit is ...
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