Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...
Researchers at the University of California, Los Angeles (UCLA), in collaboration with UC Berkeley, have developed a new type ...
Large language models (LLMs), such as the model underpinning the functioning of OpenAI's platform ChatGPT, are now widely ...
Controversy has erupted after 21% of manuscript reviews for an international AI conference were found to be generated by ...
AI-Driven Visual Intelligence forms a critical cornerstone of both computer vision and artificial intelligence, serving ...
Machine learning models can predict postoperative hyperopic shift in patients with primary angle-closure glaucoma.
A research team has mapped how machine learning is transforming the global tea industry, revealing that data-driven ...
Abstract: Process scheduling is crucial in optimizing resource utilization and reducing waiting times in computer systems. The traditional multilevel feedback queue scheduling algorithm (MLFQ) divides ...
The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...
Objective: This study aimed to develop and evaluate a machine learning (ML)–based algorithm to predict whether an initial vancomycin dose falls within the therapeutic range of the 24-hour area under ...
Abstract: In the era of large-scale machine learning, large-scale clusters are extensively used for data processing jobs. However, the state-of-the-art heuristic-based and Deep Reinforcement Learning ...
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