A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...

By now, ChatGPT, Claude, and other large language models have accumulated so much human knowledge that they're far from simple answer-generators; they can also express abstract concepts, such as ...

Abstract: Haze removal in remote sensing (RS) images has become increasingly vital due to their capacity to contain essential information for accurate geospatial analysis. Notably, this phenomenon is ...

Critical infrastructures increasingly rely on AI-generated content (AIGC) for monitoring, decision support, and autonomous control. This dependence creates new attack surfaces: forged maintenance ...

SpaceX uses your data to train its machine learning and AI models and might share that with partners who 'help us develop AI-enabled tools that improve your customer experience.' From the laptops on ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...

DeepSeek debuted Manifold-Constrained Hyper-Connections, or mHCs. They offer a way to scale LLMs without incurring huge costs. The company postponed the release of its R2 model in mid-2025. Just ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

As AI automates the work that once trained junior lawyers, firms must rethink how capability is built. New simulation-led and AI-enabled training models may offer a better path forward. Explore the ...

Enterprises that want tokenizer-free multilingual models are increasingly turning to byte-level language models to reduce brittleness in noisy or low-resource text. To tap into that niche — and make ...

OpenAI announced today that it is working on a framework that will train artificial intelligence models to acknowledge when they've engaged in undesirable behavior, an approach the team calls a ...