Papers, modelos e datasets em alta no Hugging Face, além do blog oficial — com leitura editorial em português.
DataEvolver is a self-evolving multi-agent framework that improves text-rich image generation by leveraging feedback from rejected samples to iteratively enhance data quality.
Cross-space distillation enables efficient knowledge transfer from high-capacity diffusion models to compact student models through a lightweight latent interface that aligns diffe…
A novel zero-shot framework injects spherical priors into pre-trained diffusion transformers for 360 panoramic generation, using spherical RoPE and semantic distortion guidance to…
Google is expanding Gemini’s personalized AI image generation to eligible free users in the U.S., allowing the chatbot to create images based on your interests and data from connected Google apps.
Enterprise investment in AI is booming. Gartner is calling 2026 an “inflection year” for organizations to align their AI projects with strategic business objectives. As the pressure to prove ROI mounts, executives and technology leaders are looking to agentic AI to drive the measurable financial outcomes their businesses seek. A prime opportunity for AI agents…
A Krea liberou os pesos de um transformer de difusão treinado só com fotografias reais — e publicou o relatório técnico que laboratórios de ponta costumam trancar a sete chaves.
Showcasing the importance of open source innovation in American AI, Palantir’s new intelligent engine — introduced today — uses NVIDIA Nemotron open models to serve the needs of U.S. government agencies. Open source software has long been a pillar of U.S. technology leadership. In 1969, DARPA connected four university computers — from UCLA, Stanford, UCSB […]
A Alibaba publicou o relatório técnico do pós-treino por aprendizado por reforço do seu modelo de imagem de 7 bilhões de parâmetros — pesos sob licença Apache, resolução 2K nativa e o topo da arena de avaliação humana, agora afinado para fazer exatamente o que o texto pede.
New partnership brings on-device deepfake detection to video calls on desktop SAN FRANCISCO, June 29, 2026 — Scam.ai today announced a partnership with Qualcomm and the launch of Halo, an on-device deepfake detection model for live video calls. Both announcements were made at Computex 2026 in Taipei, where Scam.ai was featured at Qualcomm’s booth as […] The post Scam.ai Announces Qualcomm Partnership, Launches Halo Deepfake Detection Model at Computex 2026 appeared first on AI News .
arXiv:2606.27386v1 Announce Type: cross Abstract: Scientific publication is still organized primarily around static manuscripts, even though much of scientific progress depends on tacit know-how: how to run code, reproduce figures, interpret edge cases, choose useful follow-up directions, and avoid failed paths. Large language model agents create an opportunity to publish not only knowledge, but also operational know-how in a form that future readers and researchers can directly use. This paper ...
arXiv:2606.27593v1 Announce Type: new Abstract: We introduce a categorical framework called ODYSSEY for constructing verifiable, local truth-preserving foundation models as compositions of foundries: building-block architectural components that specify a cover of local contexts, local representation families, restriction maps, gluing rules, obstruction policies, update obligations, and human-facing views. A foundry is an organized sheaf of knowledge that carries within it an argumentation compon...
arXiv:2606.27696v1 Announce Type: new Abstract: In this paper, we are the first to examine the correlations between class frequency and the multi-scale noise schedule within diffusion models. For score-based generative models, low-density regions often lead to inaccurately estimated scores, thereby compromising the generation quality. Although the multi-scale noise schedule can alleviate this issue during the diffusion process, low-frequency classes still face the challenge of large low-density ...