Geração de Imagem

DiffusionGemma: 4x faster text generation

Exploring the Design Space of Reward Backpropagation for Flow Matching

FlowBP addresses limitations in flow matching model alignment by using a surrogate trajectory framework that reduces memory usage and gradient chaining while maintaining performanc…

Learning to lead in a hybrid human-AI enterprise

As adoption of AI agents looks set to surge by as much as 300% in the next two years, leadership teams are carefully considering the implications of a hybrid human-AI workforce. Unlike existing enterprise-level automation that relies on manual input, AI agents are capable of autonomously coordinating complex tasks, interacting with multiple tools and environments across…

How courts are coping with a flood of AI-generated lawsuits

Most days in her chambers, Judge Maritza Braswell, a federal magistrate judge in Colorado, sifts through stacks of documents written by people without a lawyer. Many of them can’t afford to hire a lawyer, and others have cases too weak or too small to interest one. She reads each one carefully, mindful of how daunting…

ideogram-ai/ideogram-4-fp8

Modelo de geração de imagem em alta no Hugging Face — 28.0 mil downloads e 597 curtidas da comunidade.

Data Formulator 0.7: AI-powered data analytics for enterprise data

Data Formulator introduces AI-powered analytics for enterprise data workflows. Data teams can easily bring enterprise data into an AI-ready workspace where users can explore, analyze, and visualize data with AI agents to turn raw data into actionable insights. The post Data Formulator 0.7: AI-powered data analytics for enterprise data appeared first on Microsoft Research .

Advancing AI for materials with MatterSim: experimental synthesis, faster simulation, and multi-task models

MatterSim is expanding what AI can do for materials science—from faster large-scale simulations to MatterSim-MT, a new multi-task model for simulating properties beyond potential energy surfaces alone. The post Advancing AI for materials with MatterSim: experimental synthesis, faster simulation, and multi-task models appeared first on Microsoft Research .

bones-studio/seed

Dataset em destaque no Hugging Face — 4.1 mil downloads. BONES-SEED: Skeletal Everyday Embodiment Dataset BONES-SEED is an open dataset of 142,220 annotated human motion animations for humanoid robotics.

Partnering with industry leaders to accelerate AI transformation

Google DeepMind partners with global consultancies to bring the power of frontier AI to organizations around the world.

Lightricks/LTX-2.3

Modelo de geração de vídeo em alta no Hugging Face — 1.9 mi downloads e 1.4 mil curtidas da comunidade.

black-forest-labs/FLUX.1-dev

Modelo de geração de imagem em alta no Hugging Face — 1.1 mi downloads e 13.3 mil curtidas da comunidade.

Repurposing Protein Folding Models for Generation with Latent Diffusion

PLAID is a multimodal generative model that simultaneously generates protein 1D sequence and 3D structure, by learning the latent space of protein folding models. The awarding of the 2024 Nobel Prize to AlphaFold2 marks an important moment of recognition for the of AI role in biology. What comes next after protein folding? In PLAID , we develop a method that learns to sample from the latent space of protein folding models to generate new proteins. It can accept compositional function and organis...