Today, the latest animated film “Elemental” from Walt Disney Studios and Pixar Animation Studio is released in Swiss cinemas. The film revolves around the fiery Ember, who lives in Element City—a place where fire, water, earth and air beings live. The film is not only made in Hollywood, but also enabled by ETH technology.Today, the latest animated film “Elemental” from Walt Disney Studios and Pixar Animation Studio is released in Swiss cinemas. The film revolves around the fiery Ember, who lives in Element City—a place where fire, water, earth and air beings live. The film is not only made in Hollywood, but also enabled by ETH technology.[#item_full_content]

Lithography, an essential process in the semiconductor industry, lies at the heart of the manufacturing technology for modern-day electronics. In essence, it is a printing technique used to define and pattern all the intricate structures of a circuit using light. The level of nanometric precision achieved using lithography is what makes modern integrated chips, housing billions of transistors, possible.Lithography, an essential process in the semiconductor industry, lies at the heart of the manufacturing technology for modern-day electronics. In essence, it is a printing technique used to define and pattern all the intricate structures of a circuit using light. The level of nanometric precision achieved using lithography is what makes modern integrated chips, housing billions of transistors, possible.[#item_full_content]

Teaching machine learning tools to detect specific objects in a specific image and discount others is a “game-changer” that could lead to advancements in cancer detection, according to leading researchers from the University of Surrey.Teaching machine learning tools to detect specific objects in a specific image and discount others is a “game-changer” that could lead to advancements in cancer detection, according to leading researchers from the University of Surrey.[#item_full_content]

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]

Large language models are generating verbal pollution that threatens to undermine the very data such models are trained on.Large language models are generating verbal pollution that threatens to undermine the very data such models are trained on.[#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]