A team of computer scientists at the University of California Berkeley, working with one colleague from the University of California San Diego and another from Carnegie Mellon University, has created a large-scale dataset of 1 million real-world conversations to study how people interact with large language models (LLMs). They have published a paper describing their work and findings on the arXiv preprint server.A team of computer scientists at the University of California Berkeley, working with one colleague from the University of California San Diego and another from Carnegie Mellon University, has created a large-scale dataset of 1 million real-world conversations to study how people interact with large language models (LLMs). They have published a paper describing their work and findings on the arXiv preprint server.[#item_full_content]

Human sensory systems are very good at recognizing objects that we see or words that we hear, even if the object is upside down or the word is spoken by a voice we’ve never heard.Human sensory systems are very good at recognizing objects that we see or words that we hear, even if the object is upside down or the word is spoken by a voice we’ve never heard.[#item_full_content]

Computer vision algorithms have become increasingly advanced over the past decades, enabling the development of sophisticated technologies to monitor specific environments, detect objects of interest in video footage and uncover suspicious activities in CCTV recordings. Some of these algorithms are specifically designed to detect and isolate moving objects or people of interest in a video, a task known as moving target segmentation.Computer vision algorithms have become increasingly advanced over the past decades, enabling the development of sophisticated technologies to monitor specific environments, detect objects of interest in video footage and uncover suspicious activities in CCTV recordings. Some of these algorithms are specifically designed to detect and isolate moving objects or people of interest in a video, a task known as moving target segmentation.[#item_full_content]

When is an apple not an apple? If you’re a computer, the answer is when it’s been cut in half.When is an apple not an apple? If you’re a computer, the answer is when it’s been cut in half.[#item_full_content]

To take an image that is completely in focus, one of the most familiar parts of a camera—the lens—isn’t necessary anymore. Instead, a thin mask over the image sensor can do the job. But the kind of mask you use makes a huge difference in how sharp your image is.To take an image that is completely in focus, one of the most familiar parts of a camera—the lens—isn’t necessary anymore. Instead, a thin mask over the image sensor can do the job. But the kind of mask you use makes a huge difference in how sharp your image is.[#item_full_content]

Cornell researchers have developed a new optimization tool to estimate motion throughout an input video, which has potential applications in video editing and generative AI video creation.Cornell researchers have developed a new optimization tool to estimate motion throughout an input video, which has potential applications in video editing and generative AI video creation.[#item_full_content]

Edge detection is the process of outlining objects in a scene by identifying areas where changes in color or intensity signal boundaries between objects. It is vital in computer vision applications like object recognition, image segmentation, and feature extraction. Traditionally, its accuracy depends on image quality.Edge detection is the process of outlining objects in a scene by identifying areas where changes in color or intensity signal boundaries between objects. It is vital in computer vision applications like object recognition, image segmentation, and feature extraction. Traditionally, its accuracy depends on image quality.[#item_full_content]

Ed Sheeran convinced a jury this year that he didn’t rip off Marvin Gaye’s “Let’s Get It On.” By way of contrast, Pharrell Williams and Robin Thicke earlier failed to establish that “Blurred Lines” wasn’t a copy of Gaye’s “Got to Give It Up.”Ed Sheeran convinced a jury this year that he didn’t rip off Marvin Gaye’s “Let’s Get It On.” By way of contrast, Pharrell Williams and Robin Thicke earlier failed to establish that “Blurred Lines” wasn’t a copy of Gaye’s “Got to Give It Up.”[#item_full_content]

Network science is the study of the complex relationships and connections underpinning wide datasets, groups of individuals or other systems composed of many interacting parts. This fascinating study of connections can used to create maps and representations of numerous areas of life, ranging from scientific phenomena to social groups and even popular media.Network science is the study of the complex relationships and connections underpinning wide datasets, groups of individuals or other systems composed of many interacting parts. This fascinating study of connections can used to create maps and representations of numerous areas of life, ranging from scientific phenomena to social groups and even popular media.[#item_full_content]

Watching a training video featuring a deepfake version of yourself, as opposed to a clip featuring somebody else, makes learning faster, easier and more fun, according to new research led by the REVEAL research center at the University of Bath.Watching a training video featuring a deepfake version of yourself, as opposed to a clip featuring somebody else, makes learning faster, easier and more fun, according to new research led by the REVEAL research center at the University of Bath.[#item_full_content]