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How Agentic AI Balances Compliance & Performance in Financial Services Marketing

Consumer banks and insurance companies face multiple challenges in the race to launch marketing campaigns that are both compliant with state and federal regulations, as well as high-performing. The educational infographic, Agentic AI for Marketing Compliance and Performance, explains how Agentic AI is already helping financial services marketing and legal teams overcome challenges — regulations, …

Compute-Optimal Quantization-Aware Training

Quantization-aware training (QAT) is a leading technique for improving the accuracy of quantized neural networks. Previ- ous work has shown that decomposing training into a full-precision (FP) phase followed by a QAT phase yields superior accuracy compared to QAT alone. However, the optimal allocation of compute between the FP and QAT phases remains unclear. We …

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Modernize fraud prevention: GraphStorm v0.5 for real-time inference

Fraud continues to cause significant financial damage globally, with U.S. consumers alone losing $12.5 billion in 2024—a 25% increase from the previous year according to the Federal Trade Commission. This surge stems not from more frequent attacks, but from fraudsters’ increasing sophistication. As fraudulent activities become more complex and interconnected, conventional machine learning approaches fall short …

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Forecasts and data insights come to BigQuery’s MCP and Agent Development Kit tools

For AI agents to be really useful, they need to be able to securely interact with enterprise data. In July, we introduced a toolset to help AI agents interact with and analyze business data in BigQuery through natural language, and with just a few lines of code. Today, we’re taking the next step, with “Ask …

3D printing becomes stronger and more economical with light and AI

Photocurable 3D printing, widely used for everything from dental treatments to complex prototype manufacturing, is fast and precise but has the limitation of being fragile and easily broken by impact. A KAIST research team has developed a new technology to overcome this weakness, paving the way for the more robust and economical production of everything …

Dark Touch (hidream + wan2.2 + USDU + gimm vfi)

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 (540p -> 1080p) 5. GIMM VFI 6. MMAudio for the sound effect 🙂 Music by Marshall Watson. submitted by /u/alisitskii [link] [comments]