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Odense-based startup Velatir has raised €5 million in seed funding six months after its pre-seed round. The company provides visibility and control over the AI tools employees are already using, with Spintop Ventures and Ugly Duckling Ventures co-leading the round.
This survey frames self-evolving LLM agents as dynamic graphs whose memories, tools, skills, workflows, and relationships change over time. It presents four evolution taxonomies, connects nine dynamic-graph-learning fields to agent capabilities, and proposes graph-aware evaluation and governance protocols.
A study found that LLM recommendations could persuade evaluators to reject promising innovations or approve weak ones. Providing narrative explanations made participants more likely to follow incorrect AI decisions, while unexplained recommendations led to better independent judgment.
Apple Machine Learning presents a lexical-intervention approach for improving cross-lingual knowledge transfer when target-language data is scarce. The work targets downstream capabilities such as scientific reasoning, commonsense inference, and world knowledge without relying heavily on parallel data, translation systems, or auxiliary models.
Apple Machine Learning studies how to mix scarce target-domain data with abundant generic data during language-model pretraining. Across more than 2,000 training runs, the research examines the trade-off between insufficient target exposure, repeated examples, diminishing returns, and overfitting.
Apple presents an iterative pseudo-labeling approach for Mandarin-English code-switching automatic speech recognition. The method uses unlabeled speech data across pseudo-label generation, bilingual model training, and repeated refinement to address limited code-switching training data.
NVIDIA demonstrates how developers can build real-time edge AI applications with Holoscan using its CLI, skills, documentation, and AI coding agents. The workflow leverages HoloHub’s reference applications and reusable components to help agents assist with development.
Silicon Data is a startup building tools to help Wall Street assign prices to AI compute. Its goal is to make compute costs easier to value and give firms ways to hedge against price changes as data center and GPU spending expands.
Meta has launched a dedicated desktop app for Meta AI on Mac. The release supports the company’s broader effort to make its AI tools more suitable for business use.
Anthropic’s effort to label AI-written text has prompted developers to build tools that remove those labels. Business Insider reports that one remover has gone viral on GitHub, raising concerns about the durability of AI-text provenance signals.