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Ai2 is a nonprofit research institute dedicated to developing truly open AI solutions to solve the world's biggest problems. To continue innovating, they needed to scale compute performance and prepare a data center with significant room for growth.
Game Art Forge introduces AI-generated templates to streamline game asset creation, enhancing speed, scalability, and creative control for developers. It allows customization while maintaining consistency and supports both indie developers and larger teams. By combining AI efficiency with human creativity, it ensures high-quality, adaptable workflows for game development.
The AI scientist from Sakana Labs has its first reviewed and accepted publication. It generated the idea, conducted experiments, and wrote a novel paper that was accepted to an ICLR workshop (with the full consent of the conference organizers).
Google has released the weights and a technical report for the Gemma 3 model. This model, which comes in four sizes, is approximately as performant as Gemini 1.5 Pro. It also has a strong understanding of 140+ languages. It seems to be close to the state-of-the-art dense model.
Google has released the best dense models available. They score 9th in the arena, have phenomenal multilingual capabilities, and support more than 140 languages. Depending on the upcoming open launches, these may be the backbone of the community. They certainly are the best single GPU models and likely will be for some time.
TaylorSeer introduces a method to predict future timestep features in diffusion models using Taylor series expansion, significantly reducing errors in feature caching.
CATANet enhances image super-resolution by aggregating long-range content-similar tokens.
This project explores how language models perform stepwise implicit reasoning but struggle with generalization, especially when dealing with expressions containing variables as subtrahends.
Motion Anything improves conditional motion generation by introducing Attention-based Mask Modeling for better spatial and temporal control.
VideoPainter introduces a dual-stream architecture for video inpainting, significantly reducing learning complexity while improving background preservation and object generation. It also provides VPData and VPBench, the largest video inpainting dataset and benchmark to date.
PromptPex is a developer tool that treats prompts as functions and automatically generates test inputs, enabling systematic unit testing of AI model prompts.
A nice unification and simplification of diffusion models for continuous data. They use a new moment matching framework to create a few step generative model.
The Hugging Face team has announced the next update for its open replication of the DeepSeek reasoning model. It found that small models can outperform the larger ones when tuned specifically for competitive coding.
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Oxford Languages hosted Yasmin Greenaway, founder of Dermie.AI [18], for a discussion of AI in healthcare - from data privacy to the latest
Wan is a generative image model that has recently been open sourced.
Another LoRA for the Wan video model.
By breaking the reasoning training process into two steps, this work shows that small models are still able to generalize across tasks and even modalities.