Over the past few months, artificial intelligence (AI) has entered the global conversation as a result of the widespread adoption of generative AI-based tools such as chatbots and automatic image generation programs. Prominent AI scientists and technologists have raised concerns about the hypothetical existential risks posed by these developments.Over the past few months, artificial intelligence (AI) has entered the global conversation as a result of the widespread adoption of generative AI-based tools such as chatbots and automatic image generation programs. Prominent AI scientists and technologists have raised concerns about the hypothetical existential risks posed by these developments.[#item_full_content]

In a paper published in Machine Intelligence Research, a team of researchers explored the problem of whether pre-trained models can be applied to multi-modal tasks and made significant progress. This paper surveys recent advances and new frontiers in vision-language pre-training (VLP), including image-text and video-text pre-training.In a paper published in Machine Intelligence Research, a team of researchers explored the problem of whether pre-trained models can be applied to multi-modal tasks and made significant progress. This paper surveys recent advances and new frontiers in vision-language pre-training (VLP), including image-text and video-text pre-training.[#item_full_content]

A study in the International Journal of Computational Science and Engineering, introduces a new deep learning architecture called LightNet, designed to overcome the challenges of training deep learning models and revolutionize the agricultural sector. The study, focuses on plant disease management and fruit classification and addresses the normally high computational resource demands that have hindered the implementation of deep learning models on limited-resource devices for disease identification in images of leaves and fruit.A study in the International Journal of Computational Science and Engineering, introduces a new deep learning architecture called LightNet, designed to overcome the challenges of training deep learning models and revolutionize the agricultural sector. The study, focuses on plant disease management and fruit classification and addresses the normally high computational resource demands that have hindered the implementation of deep learning models on limited-resource devices for disease identification in images of leaves and fruit.[#item_full_content]

Many intelligent applications and systems, including biomedical hardware and devices, require human computer interaction technology. This technology enables intelligent hardware to obtain physiological and behavioral information from humans to process and accomplish specific tasks, providing convenience in daily life and promoting societal efficiency. Further, human-computer interaction technology is relevant to many important research fields.Many intelligent applications and systems, including biomedical hardware and devices, require human computer interaction technology. This technology enables intelligent hardware to obtain physiological and behavioral information from humans to process and accomplish specific tasks, providing convenience in daily life and promoting societal efficiency. Further, human-computer interaction technology is relevant to many important research fields.[#item_full_content]

For more than 20 years, the National Eating Disorders Association has operated a phone line and online platform for people seeking help for anorexia, bulimia, and other eating disorders. Last year, nearly 70,000 individuals used the help line.For more than 20 years, the National Eating Disorders Association has operated a phone line and online platform for people seeking help for anorexia, bulimia, and other eating disorders. Last year, nearly 70,000 individuals used the help line.[#item_full_content]

The launch of ever-capable large language models (LLMs) such as GPT-3.5 has sparked much interest over the past six months. However, trust in these models has waned as users have discovered they can make mistakes—and that, just like us, they aren’t perfect.The launch of ever-capable large language models (LLMs) such as GPT-3.5 has sparked much interest over the past six months. However, trust in these models has waned as users have discovered they can make mistakes—and that, just like us, they aren’t perfect.[#item_full_content]

Densely packed housing makes urban areas vulnerable to overheating, pollution and dangerous wind gusts. The effects of climate change can aggravate these problems, but we can also work to prevent them. This can be done by simulating microclimates.Densely packed housing makes urban areas vulnerable to overheating, pollution and dangerous wind gusts. The effects of climate change can aggravate these problems, but we can also work to prevent them. This can be done by simulating microclimates.[#item_full_content]

Researchers from UCLA and the United States Army Research Laboratory have laid out a new approach to enhance artificial intelligence-powered computer vision technologies by adding physics-based awareness to data-driven techniques.Researchers from UCLA and the United States Army Research Laboratory have laid out a new approach to enhance artificial intelligence-powered computer vision technologies by adding physics-based awareness to data-driven techniques.[#item_full_content]

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