PUSA fails go hard
submitted by /u/JackKerawock [link] [comments]
5 Lesser-Known Visualization Libraries for Impactful Machine Learning Storytelling
Data storytelling often extends into machine learning, where we need engaging visuals that support a clear narrative.
Schedule topology-aware workloads using Amazon SageMaker HyperPod task governance
Today, we are excited to announce a new capability of Amazon SageMaker HyperPod task governance to help you optimize training efficiency and network latency of your AI workloads. SageMaker HyperPod task governance streamlines resource allocation and facilitates efficient compute resource utilization across teams and projects on Amazon Elastic Kubernetes Service (Amazon EKS) clusters. Administrators can …
Read more “Schedule topology-aware workloads using Amazon SageMaker HyperPod task governance”
Cloud CISO Perspectives: APAC security leaders speak out on AI and key topics
Welcome to the first Cloud CISO Perspectives for September 2025. Today, Daryl Pereira and Hui Meng Foo, from our Office of the CISO’s Asia-Pacific office, share insights on AI from security leaders who attended our recent Google Cloud CISO Community event in Singapore. As with all Cloud CISO Perspectives, the contents of this newsletter are …
Read more “Cloud CISO Perspectives: APAC security leaders speak out on AI and key topics”
How AI Is Upending Politics, Tech, the Media, and More
At WIRED’s AI Power Summit on Monday, industry executives and officials discussed the impact artificial intelligence is having on every corner of society—and where it goes from here.
How to ensure high-quality synthetic wireless data when real-world data runs dry
To train artificial intelligence (AI) models, researchers need good data and lots of it. However, most real-world data has already been used, leading scientists to generate synthetic data. While the generated data helps solve the issue of quantity, it may not always have good quality, and assessing its quality has been overlooked.
Bytedance release the full safetensor model for UMO – Multi-Identity Consistency for Image Customization . Obligatory beg for a ComfyUI node 🙏🙏
https://huggingface.co/bytedance-research/UMO https://arxiv.org/pdf/2509.06818 Bytedance have released 3 days ago their image editing/creation model UMO. From their huggingface description: Recent advancements in image customization exhibit a wide range of application prospects due to stronger customization capabilities. However, since we humans are more sensitive to faces, a significant challenge remains in preserving consistent identity while avoiding identity confusion …
Fast and efficient AI inference with new NVIDIA Dynamo recipe on AI Hypercomputer
As generative AI becomes more widespread, it’s important for developers and ML engineers to be able to easily configure infrastructure that supports efficient AI inference, i.e., using a trained AI model to make predictions or decisions based on new, unseen data. While great at training models, traditional GPU-based serving architectures struggle with the “multi-turn” nature …
Read more “Fast and efficient AI inference with new NVIDIA Dynamo recipe on AI Hypercomputer”
11 Best Protein Powders, According to Years of Testing (2025)
We found the best protein powders that won’t make your shake taste like drywall.
RecA: A new finetuning method that doesn’t use image captions.
https://arxiv.org/abs/2509.07295 “We introduce Reconstruction Alignment (RecA), a resource-efficient post-training method that leverages visual understanding encoder embeddings as dense “text prompts,” providing rich supervision without captions. Concretely, RecA conditions a UMM on its own visual understanding embeddings and optimizes it to reconstruct the input image with a self-supervised reconstruction loss, thereby realigning understanding and generation.” https://huggingface.co/sanaka87/BAGEL-RecA …
Read more “RecA: A new finetuning method that doesn’t use image captions.”