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]

Photographs of dogs could soon be used to help generate 3D models more accurately than ever before—thanks to an award-winning study from the University of Surrey and the famous video game Grand Theft Auto.Photographs of dogs could soon be used to help generate 3D models more accurately than ever before—thanks to an award-winning study from the University of Surrey and the famous video game Grand Theft Auto.Computer Sciences[#item_full_content]

Wading through the staggering amount of social media content being produced every second to find the nastiest bits is no task for humans alone.Wading through the staggering amount of social media content being produced every second to find the nastiest bits is no task for humans alone.Consumer & Gadgets[#item_full_content]

In order to prevent power grid failure in a society where electrification is supplied increasingly by variable sources like solar and wind, researchers in Sweden report the development of artificial intelligence algorithms intended to react swiftly when the network’s voltage balance is threatened.In order to prevent power grid failure in a society where electrification is supplied increasingly by variable sources like solar and wind, researchers in Sweden report the development of artificial intelligence algorithms intended to react swiftly when the network’s voltage balance is threatened.Energy & Green Tech[#item_full_content]

Federated learning (FL) has emerged as a popular machine learning paradigm which allows multiple data owners to train models collaboratively without sharing their raw datasets. It holds potential for a wide spectrum of analytics applications on sensitive data.Federated learning (FL) has emerged as a popular machine learning paradigm which allows multiple data owners to train models collaboratively without sharing their raw datasets. It holds potential for a wide spectrum of analytics applications on sensitive data.Computer Sciences[#item_full_content]

Google CEO Sundar Pichai on Tuesday slammed “completely unacceptable” errors by its Gemini AI app, after gaffes such as images of ethnically diverse World War II Nazi troops forced it to stop users from creating pictures of people.Google CEO Sundar Pichai on Tuesday slammed “completely unacceptable” errors by its Gemini AI app, after gaffes such as images of ethnically diverse World War II Nazi troops forced it to stop users from creating pictures of people.Machine learning & AI[#item_full_content]