Notizie
Notizie
Google AI Releases MLE-STAR: A State-of-the-Art Machine Learning Engineering Agent Capable of Automating Various AI Tasks
MLE-STAR (Machine Learning Engineering via Search and Targeted Refinement) is a state-of-the-art agent system developed...
Google AI Releases LangExtract: An Open Source Python Library that Extracts Structured Data from Unstructured Text Documents
In today’s data-driven world, valuable insights are often buried in unstructured text—be it clinical notes...
Google AI Introduces the Test-Time Diffusion Deep Researcher (TTD-DR): A Human-Inspired Diffusion Framework for Advanced Deep Research Agents
Deep Research (DR) agents have rapidly gained popularity in both research and industry, thanks to...
Google AI Introduces Multi-Agent System Search MASS: A New AI Agent Optimization Framework for Better Prompts and Topologies
Multi-agent systems are becoming a critical development in artificial intelligence due to their ability to...
GoalfyMax: A Protocol-Driven Multi-Agent System for Intelligent Experience Entities
arXiv:2507.09497v1 Announce Type: new Abstract: Modern enterprise environments demand intelligent systems capable of handling complex...
Geothermal could power nearly all new data centers through 2030
Geothermal resources have enormous potential to provide the sort of consistent power that data centers...
GeoGuess: Multimodal Reasoning based on Hierarchy of Visual Information in Street View
arXiv:2506.16633v1 Announce Type: new Abstract: Multimodal reasoning is a process of understanding, integrating and inferring...
GenSeg: Generative AI Transforms Medical Image Segmentation in Ultra Low-Data Regimes
Medical image segmentation is at the heart of modern healthcare AI, enabling crucial tasks such...
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
arXiv:2507.06261v3 Announce Type: replace Abstract: In this report, we introduce the Gemini 2.X model family:...
GCC-Spam: Spam Detection via GAN, Contrastive Learning, and Character Similarity Networks
arXiv:2507.14679v1 Announce Type: cross Abstract: The exponential growth of spam text on the Internet necessitates...
Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiency
arXiv:2411.16525v2 Announce Type: replace-cross Abstract: We investigate the statistical and computational limits of prompt tuning...
Fun-tuning: Characterizing the Vulnerability of Proprietary LLMs to Optimization-based Prompt Injection Attacks via the Fine-Tuning Interface
arXiv:2501.09798v2 Announce Type: replace-cross Abstract: We surface a new threat to closed-weight Large Language Models...