Is the fear of public speaking the same as being chased by a bear? Does raising an eyebrow convey amusement or confusion? In 1995, Rosalind Picard, a scientist and inventor, introduced the idea of computers developing the ability to recognize emotions in her book, “Affective Computing.”Is the fear of public speaking the same as being chased by a bear? Does raising an eyebrow convey amusement or confusion? In 1995, Rosalind Picard, a scientist and inventor, introduced the idea of computers developing the ability to recognize emotions in her book, “Affective Computing.”[#item_full_content]

One of the many problems faced by a wide range of photographers in wildlife, sports, celebrity and theatrical photography, and even industrial testing and medical photography is the issue of motion blur. This occurs when the subject is moving and the camera’s shutter speed is too slow to “freeze” the action. There are approaches that anyone processing photographs can take to reduce the distortion known as motion blur and there is some software that can reduce the effect considerably. However, there is always room for improvement.One of the many problems faced by a wide range of photographers in wildlife, sports, celebrity and theatrical photography, and even industrial testing and medical photography is the issue of motion blur. This occurs when the subject is moving and the camera’s shutter speed is too slow to “freeze” the action. There are approaches that anyone processing photographs can take to reduce the distortion known as motion blur and there is some software that can reduce the effect considerably. However, there is always room for improvement.[#item_full_content]

What would news stories be without proper sources? To tell a compelling story, reporters need to find newsworthy narratives and trustworthy information. Such information typically comes from a wide pool of publications, official records and experts, all with their own biases, expertise, opinions and backgrounds. The pool of interview candidates is plentiful yet overwhelming to navigate.What would news stories be without proper sources? To tell a compelling story, reporters need to find newsworthy narratives and trustworthy information. Such information typically comes from a wide pool of publications, official records and experts, all with their own biases, expertise, opinions and backgrounds. The pool of interview candidates is plentiful yet overwhelming to navigate.[#item_full_content]

A supercomputer scheduled to go online in April 2024 will rival the estimated rate of operations in the human brain, according to researchers in Australia. The machine, called DeepSouth, is capable of performing 228 trillion operations per second.A supercomputer scheduled to go online in April 2024 will rival the estimated rate of operations in the human brain, according to researchers in Australia. The machine, called DeepSouth, is capable of performing 228 trillion operations per second.[#item_full_content]

Large language models (LLMs) are advanced deep learning algorithms that can process written or spoken prompts and generate texts in response to these prompts. These models have recently become increasingly popular and are now helping many users to create summaries of long documents, gain inspiration for brand names, find quick answers to simple queries, and generate various other types of texts.Large language models (LLMs) are advanced deep learning algorithms that can process written or spoken prompts and generate texts in response to these prompts. These models have recently become increasingly popular and are now helping many users to create summaries of long documents, gain inspiration for brand names, find quick answers to simple queries, and generate various other types of texts.[#item_full_content]

As the demand for technologies that enable generative AI continues to skyrocket, processing capacities must keep pace to accommodate model training and fault tolerance. University of Michigan researchers designed a solution specific to modern AI workloads.As the demand for technologies that enable generative AI continues to skyrocket, processing capacities must keep pace to accommodate model training and fault tolerance. University of Michigan researchers designed a solution specific to modern AI workloads.[#item_full_content]

Multi-class classification can be solved by decomposing it into a set of binary classification problems according to some encoding rules. Existing works solve these binary classification problems in the original feature space, while it might be suboptimal as different binary classification problems correspond to different positive and negative examples.Multi-class classification can be solved by decomposing it into a set of binary classification problems according to some encoding rules. Existing works solve these binary classification problems in the original feature space, while it might be suboptimal as different binary classification problems correspond to different positive and negative examples.[#item_full_content]

Virginia Tech researchers have discovered limitations in ChatGPT’s capacity to provide location-specific information about environmental justice issues. Their findings, published in the journal Telematics and Informatics, suggest the potential for geographic biases existing in current generative artificial intelligence (AI) models.Virginia Tech researchers have discovered limitations in ChatGPT’s capacity to provide location-specific information about environmental justice issues. Their findings, published in the journal Telematics and Informatics, suggest the potential for geographic biases existing in current generative artificial intelligence (AI) models.[#item_full_content]

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