In a world where social media influences opinions and shapes narratives, the rise of artificial intelligence (AI) is both a boon and a challenge.In a world where social media influences opinions and shapes narratives, the rise of artificial intelligence (AI) is both a boon and a challenge.Internet[#item_full_content]
ChatGPT-maker OpenAI is looking to fuse its artificial intelligence systems into the bodies of humanoid robots as part of a new deal with robotics startup Figure.ChatGPT-maker OpenAI is looking to fuse its artificial intelligence systems into the bodies of humanoid robots as part of a new deal with robotics startup Figure.Robotics[#item_full_content]
Artificial Intelligence (AI) has very quickly transitioned from science fiction to practical applications, particularly in industrial sectors such as manufacturing, logistics, and retail. A study in the International Journal of Technology Transfer and Commercialisation looks at the AI landscape and sheds light on its evolution, implications, and integration challenges across industries.Artificial Intelligence (AI) has very quickly transitioned from science fiction to practical applications, particularly in industrial sectors such as manufacturing, logistics, and retail. A study in the International Journal of Technology Transfer and Commercialisation looks at the AI landscape and sheds light on its evolution, implications, and integration challenges across industries.Business[#item_full_content]
Generative artificial intelligence is rapidly advancing and soon will be ubiquitous in everyday life, making us more productive and helping to solve complex problems while simultaneously creating new legal and ethical issues, a University of Cincinnati professor said.Generative artificial intelligence is rapidly advancing and soon will be ubiquitous in everyday life, making us more productive and helping to solve complex problems while simultaneously creating new legal and ethical issues, a University of Cincinnati professor said.Machine learning & AI[#item_full_content]
Researchers have developed a system that provides a virtual walking experience to a seated person by real-time synthesis of a walking avatar and its shadow on a 360-degree video with vibrations to the feet. The shadow of the avatar induces an illusory presence of their body. In the future, it is expected to provide an immersive experience for any recorded medium with a virtual embodiment.Researchers have developed a system that provides a virtual walking experience to a seated person by real-time synthesis of a walking avatar and its shadow on a 360-degree video with vibrations to the feet. The shadow of the avatar induces an illusory presence of their body. In the future, it is expected to provide an immersive experience for any recorded medium with a virtual embodiment.Hi Tech & Innovation[#item_full_content]
The recent development of an intelligent sensor that mimics the optic nerve of insects while operating at ultra-high speeds and low power offers extensive expandability into various innovative technologies. This technology is expected to be applied to various fields including transportation, safety, and security systems, contributing to both industry and society.The recent development of an intelligent sensor that mimics the optic nerve of insects while operating at ultra-high speeds and low power offers extensive expandability into various innovative technologies. This technology is expected to be applied to various fields including transportation, safety, and security systems, contributing to both industry and society.Electronics & Semiconductors[#item_full_content]
A roomsize computer equipped with a new type of circuitry, the Perceptron, was introduced to the world in 1958 in a brief news story buried deep in The New York Times. The story cited the U.S. Navy as saying that the Perceptron would lead to machines that “will be able to walk, talk, see, write, reproduce itself and be conscious of its existence.”A roomsize computer equipped with a new type of circuitry, the Perceptron, was introduced to the world in 1958 in a brief news story buried deep in The New York Times. The story cited the U.S. Navy as saying that the Perceptron would lead to machines that “will be able to walk, talk, see, write, reproduce itself and be conscious of its existence.”[#item_full_content]
A roomsize computer equipped with a new type of circuitry, the Perceptron, was introduced to the world in 1958 in a brief news story buried deep in The New York Times. The story cited the U.S. Navy as saying that the Perceptron would lead to machines that “will be able to walk, talk, see, write, reproduce itself and be conscious of its existence.”A roomsize computer equipped with a new type of circuitry, the Perceptron, was introduced to the world in 1958 in a brief news story buried deep in The New York Times. The story cited the U.S. Navy as saying that the Perceptron would lead to machines that “will be able to walk, talk, see, write, reproduce itself and be conscious of its existence.”Computer Sciences[#item_full_content]
Did you hear? Google has been accused of having a secret vendetta against white people. Elon Musk exchanged tweets about the conspiracy on X more than 150 times over the past week, all regarding portraits generated with Google’s new AI chatbot Gemini.Did you hear? Google has been accused of having a secret vendetta against white people. Elon Musk exchanged tweets about the conspiracy on X more than 150 times over the past week, all regarding portraits generated with Google’s new AI chatbot Gemini.Business[#item_full_content]
When developing machine learning models to find patterns in data, researchers across fields typically use separate data sets for model training and testing, which allows them to measure how well their trained models do with new, unseen data. But, due to human error, that line sometimes is inadvertently blurred and data used to test how well the model performs bleeds into data used to train it.When developing machine learning models to find patterns in data, researchers across fields typically use separate data sets for model training and testing, which allows them to measure how well their trained models do with new, unseen data. But, due to human error, that line sometimes is inadvertently blurred and data used to test how well the model performs bleeds into data used to train it.Machine learning & AI[#item_full_content]
