Black Forest Labs' new Self-Flow technique makes training multimodal AI models 2.8x more efficient

This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models that are deeply aligned with their specific data domains ...

Why Al Models Forget & How MIT Fixed It With Knowledge Retention

MIT introduces Self-Distillation Fine-Tuning to reduce catastrophic forgetting; it uses student-teacher demonstrations and needs 2.5x compute.
GitHub

SVG-T2I: Scaling up Text-to-Image Latent Diffusion Model

Important Note: This repository implements SVG-T2I, a text-to-image diffusion framework that performs visual generation directly in Visual Foundation Model (VFM) representation space, rather than ...
The New York Times

Britain Investigates Elon Musk’s X Over Grok’s Sexualized A.I. Images

A British regulator said it had started a formal investigation into Mr. Musk’s chatbot over the spread of illegal images. By Adam Satariano Reporting from London British authorities on Monday ...
GitHub

Images as Noisy Labels: Unleashing the Potential of the Diffusion Model for Open-Vocabulary Semantic Segmentation

This repository is the official PyTorch implementation of the ICCV 2025 (Highlight) paper: Images as Noisy Labels: Unleashing the Potential of the Diffusion Model for Open-Vocabulary Semantic ...
C&EN

Deep Learning-Based Shape Classification for Hyperspectral-Imaged Microplastics

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...
IEEE

Combining Contrastive Learning and Diffusion Model for Hyperspectral Image Classification

Abstract: In recent years, self-supervised learning has made significant strides in hyperspectral image classification (HSIC). However, different approaches come with distinct strengths and ...