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.Computer Sciences[#item_full_content]
New research from Bowling Green State University finds that generative artificial intelligence—or AI—can blur the lines when it comes to identifying the source of images, but discovered humans still maintain a subsurface preference for genuine human art.New research from Bowling Green State University finds that generative artificial intelligence—or AI—can blur the lines when it comes to identifying the source of images, but discovered humans still maintain a subsurface preference for genuine human art.Consumer & Gadgets[#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]
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.Computer Sciences[#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]
Interpreters, translators and subtitlers should not fear artificial intelligence (AI), as training in new forms of real-time human-AI interaction (HAII) can increase their working memory and task-switching abilities, according to new research from Surrey’s Centre for Translation Studies (CTS).Interpreters, translators and subtitlers should not fear artificial intelligence (AI), as training in new forms of real-time human-AI interaction (HAII) can increase their working memory and task-switching abilities, according to new research from Surrey’s Centre for Translation Studies (CTS).Consumer & Gadgets[#item_full_content]
A London court on Friday ruled that a British tabloid newspaper hacked Prince Harry’s phone while reporting on the royal family.A London court on Friday ruled that a British tabloid newspaper hacked Prince Harry’s phone while reporting on the royal family.[#item_full_content]
Imagine this. You need an image of a balloon for a work presentation and turn to a text-to-image generator, like Midjourney or DALL-E, to create a suitable image.Imagine this. You need an image of a balloon for a work presentation and turn to a text-to-image generator, like Midjourney or DALL-E, to create a suitable image.Consumer & Gadgets[#item_full_content]
An interdisciplinary team consisting of researchers from the Center for Cognition and Sociality and the Data Science Group within the Institute for Basic Science (IBS) revealed a striking similarity between the memory processing of artificial intelligence (AI) models and the hippocampus of the human brain. This new finding provides a novel perspective on memory consolidation, which is a process that transforms short-term memories into long-term ones in AI systems.An interdisciplinary team consisting of researchers from the Center for Cognition and Sociality and the Data Science Group within the Institute for Basic Science (IBS) revealed a striking similarity between the memory processing of artificial intelligence (AI) models and the hippocampus of the human brain. This new finding provides a novel perspective on memory consolidation, which is a process that transforms short-term memories into long-term ones in AI systems.Machine learning & AI[#item_full_content]
Artificial intelligence developed to model written language can be utilized to predict events in people’s lives. A research project from DTU, University of Copenhagen, ITU, and Northeastern University in the US shows that if you use large amounts of data about people’s lives and train so-called ‘transformer models’, which (like ChatGPT) are used to process language, they can systematically organize the data and predict what will happen in a person’s life and even estimate the time of death.Artificial intelligence developed to model written language can be utilized to predict events in people’s lives. A research project from DTU, University of Copenhagen, ITU, and Northeastern University in the US shows that if you use large amounts of data about people’s lives and train so-called ‘transformer models’, which (like ChatGPT) are used to process language, they can systematically organize the data and predict what will happen in a person’s life and even estimate the time of death.Machine learning & AI[#item_full_content]
