ChatGPT-maker OpenAI has enlisted the legendary designer behind the iPhone to create an irresistible gadget for using generative artificial intelligence (AI).ChatGPT-maker OpenAI has enlisted the legendary designer behind the iPhone to create an irresistible gadget for using generative artificial intelligence (AI).Consumer & Gadgets[#item_full_content]

People turn to the internet to run billions of search queries each year. These range from keeping tabs on world events and celebrities to learning new words and getting DIY help.People turn to the internet to run billions of search queries each year. These range from keeping tabs on world events and celebrities to learning new words and getting DIY help.Internet[#item_full_content]

The investor experience at TechCrunch All Stage: One floor, infinite deal flow

TechCrunch All Stage isn’t a waiting room for warm intros — it’s a floor full of founders, ideas, and breakout potential. For VCs, it’s a rare chance to skip the filters and meet the future of tech in one place, on one day, with no layers between you and the next standout story. Whether you’re […]TechCrunch All Stage isn’t a waiting room for warm intros — it’s a floor full of founders, ideas, and breakout potential. For VCs, it’s a rare chance to skip the filters and meet the future of tech in one place, on one day, with no layers between you and the next standout story. Whether you’re[#item_full_content]

Over the past decades, computer scientists have introduced increasingly sophisticated machine learning-based models, which can perform remarkably well on various tasks. These include multimodal large language models (MLLMs), systems that can process and generate different types of data, predominantly texts, images and videos.Over the past decades, computer scientists have introduced increasingly sophisticated machine learning-based models, which can perform remarkably well on various tasks. These include multimodal large language models (MLLMs), systems that can process and generate different types of data, predominantly texts, images and videos.[#item_full_content]

Over the past decades, computer scientists have introduced increasingly sophisticated machine learning-based models, which can perform remarkably well on various tasks. These include multimodal large language models (MLLMs), systems that can process and generate different types of data, predominantly texts, images and videos.Over the past decades, computer scientists have introduced increasingly sophisticated machine learning-based models, which can perform remarkably well on various tasks. These include multimodal large language models (MLLMs), systems that can process and generate different types of data, predominantly texts, images and videos.Computer Sciences[#item_full_content]

The first study to use artificial intelligence (AI) technology to generate podcasts about research published in scientific papers has shown the results were so good that half of the papers’ authors thought the podcasters were human.The first study to use artificial intelligence (AI) technology to generate podcasts about research published in scientific papers has shown the results were so good that half of the papers’ authors thought the podcasters were human.Consumer & Gadgets[#item_full_content]

Large visual collections, such as paintings, photographs, drawings, and other forms of visual media, offer valuable insights into historical events, social life, and artistic expression. These collections are key to understanding how societies produce and use images to shape cultural meaning over time. Yet they remain difficult to study due to their sheer size, often consisting of hundreds of thousands of items, and their intrinsic complexity, including diverse visual features, contents, contexts, and metadata structures.Large visual collections, such as paintings, photographs, drawings, and other forms of visual media, offer valuable insights into historical events, social life, and artistic expression. These collections are key to understanding how societies produce and use images to shape cultural meaning over time. Yet they remain difficult to study due to their sheer size, often consisting of hundreds of thousands of items, and their intrinsic complexity, including diverse visual features, contents, contexts, and metadata structures.[#item_full_content]

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