Your next toy or game may be able to converse with you. Mattel, the El Segundo toy maker behind Barbie and Hot Wheels, said Thursday that it’s teaming up with OpenAI, which created the popular chatbot ChatGPT, to “bring the magic of AI to age-appropriate play experiences.”Your next toy or game may be able to converse with you. Mattel, the El Segundo toy maker behind Barbie and Hot Wheels, said Thursday that it’s teaming up with OpenAI, which created the popular chatbot ChatGPT, to “bring the magic of AI to age-appropriate play experiences.”Consumer & Gadgets[#item_full_content]

Vision-language models (VLMs) are advanced computational techniques designed to process both images and written texts, making predictions accordingly. Among other things, these models could be used to improve the capabilities of robots, helping them to accurately interpret their surroundings and interact with human users more effectively.Vision-language models (VLMs) are advanced computational techniques designed to process both images and written texts, making predictions accordingly. Among other things, these models could be used to improve the capabilities of robots, helping them to accurately interpret their surroundings and interact with human users more effectively.Robotics[#item_full_content]

Scale AI announced a major new investment by Meta late Thursday that values the startup at more than $29 billion and puts its founder to work for the tech titan.Scale AI announced a major new investment by Meta late Thursday that values the startup at more than $29 billion and puts its founder to work for the tech titan.Business[#item_full_content]

American AI giant Anthropic aims to boost the European tech ecosystem as it expands on the continent, product chief Mike Krieger told AFP Thursday at the Vivatech trade fair in Paris.American AI giant Anthropic aims to boost the European tech ecosystem as it expands on the continent, product chief Mike Krieger told AFP Thursday at the Vivatech trade fair in Paris.Business[#item_full_content]

Researchers at UNIST have developed an AI technology capable of reconstructing three-dimensional (3D) representations of unfamiliar objects manipulated with both hands, as well as simulated surgical scenes involving intertwined hands and medical instruments. This advancement enables highly accurate augmented reality (AR) visualizations, further enhancing real-time interaction capabilities.Researchers at UNIST have developed an AI technology capable of reconstructing three-dimensional (3D) representations of unfamiliar objects manipulated with both hands, as well as simulated surgical scenes involving intertwined hands and medical instruments. This advancement enables highly accurate augmented reality (AR) visualizations, further enhancing real-time interaction capabilities.Hi Tech & Innovation[#item_full_content]

Thanks to artificial intelligence, robots can already perform many tasks that would otherwise require humans. In this interview, Edoardo Milana, a junior professor of soft machines in the Department of Microsystems Engineering at the University of Freiburg, explains how improved design and innovative mechanics are broadening the range of applications for these machines.Thanks to artificial intelligence, robots can already perform many tasks that would otherwise require humans. In this interview, Edoardo Milana, a junior professor of soft machines in the Department of Microsystems Engineering at the University of Freiburg, explains how improved design and innovative mechanics are broadening the range of applications for these machines.Robotics[#item_full_content]

Deep learning and AI systems have made great headway in recent years, especially in their capabilities of automating complex computational tasks such as image recognition, computer vision and natural language processing. Yet, these systems consist of billions of parameters and require great memory usage as well as expensive computational cost.Deep learning and AI systems have made great headway in recent years, especially in their capabilities of automating complex computational tasks such as image recognition, computer vision and natural language processing. Yet, these systems consist of billions of parameters and require great memory usage as well as expensive computational cost.Machine learning & AI[#item_full_content]

It is “the policy of the United States to promote AI literacy and proficiency among Americans,” reads an executive order President Donald Trump issued on April 23, 2025. The executive order, titled Advancing Artificial Intelligence Education for American Youth, signals that advancing AI literacy is now an official national priority.It is “the policy of the United States to promote AI literacy and proficiency among Americans,” reads an executive order President Donald Trump issued on April 23, 2025. The executive order, titled Advancing Artificial Intelligence Education for American Youth, signals that advancing AI literacy is now an official national priority.Consumer & Gadgets[#item_full_content]

In the world of machine learning and artificial intelligence, clean data is everything. Even a small number of mislabeled examples known as label noise can derail the performance of a model, especially those like support vector machines (SVMs) that rely on a few key data points to make decisions.In the world of machine learning and artificial intelligence, clean data is everything. Even a small number of mislabeled examples known as label noise can derail the performance of a model, especially those like support vector machines (SVMs) that rely on a few key data points to make decisions.Hi Tech & Innovation[#item_full_content]

The ability to precisely predict movements is essential not only for humans and animals, but also for many AI applications—from autonomous driving to robotics. Researchers at the Technical University of Munich (TUM) have now discovered that artificial neural networks can perform this task better when trained with biological data from early visual system development.The ability to precisely predict movements is essential not only for humans and animals, but also for many AI applications—from autonomous driving to robotics. Researchers at the Technical University of Munich (TUM) have now discovered that artificial neural networks can perform this task better when trained with biological data from early visual system development.Machine learning & AI[#item_full_content]