Selecting the right model is one of the most critical decisions in any machine learning project.
Quantization-aware training (QAT) is a leading technique for improving the accuracy of quantized neural networks. Previ- ous work has shown…
Fraud continues to cause significant financial damage globally, with U.S. consumers alone losing $12.5 billion in 2024—a 25% increase from the…
For AI agents to be really useful, they need to be able to securely interact with enterprise data. In July,…
Amazon Prime Day is back on October 7, but we've already found good deals on WIRED-approved gear.
Photocurable 3D printing, widely used for everything from dental treatments to complex prototype manufacturing, is fast and precise but has…
My workflows: https://civitai.com/models/1389968/my-personal-basic-and-simple-wan21wan22-i2v-workflows-based-on-comfyui-native-one Process: 1. HiDream initial txt2img 2. Wan2.2 img2img to fix “realism” 3. Wan2.2 img2vid 4. Wan2.2 upscale…
Usually shrouded in mystery at first glance, Python decorators are, at their core, functions wrapped around other functions to provide…
While federated learning (FL) and differential privacy (DP) have been extensively studied, their application to automatic speech recognition (ASR) remains…
By Jun He, Yingyi Zhang, Ely SpearsTL;DRWe recently upgraded the Maestro engine to go beyond scalability and improved its performance by…