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Building the most open and innovative AI ecosystem

The future of artificial intelligence (AI) will be open. New and innovative capabilities in areas like generative AI will come from all corners of the technology ecosystem and from companies distributed around the globe — from early stage startups to cloud-native AI platforms to large, global enterprises. The momentum in this space is incredible. In …

How AI is Shaping a New Era of Connectivity

From metaverse digital twins powering predictive maintenance and network performance optimization to new telco business models born of 5G and edge services, AI applications can drive new operational efficiencies and revenue opportunities across the telecommunications industry. NVIDIA GTC, a global conference for the era of AI and the metaverse running online March 20-23, will showcase …

RGI: Robust GAN-inversion for Mask-free Image Inpainting and Unsupervised Pixel-wise Anomaly Detection

Generative adversarial networks (GANs), trained on a large-scale image dataset, can be a good approximator of the natural image manifold. GAN-inversion, using a pre-trained generator as a deep generative prior, is a promising tool for image restoration under corruptions. However, the performance of GAN-inversion can be limited by a lack of robustness to unknown gross …

ML 10207 high level architecture

How VMware built an MLOps pipeline from scratch using GitLab, Amazon MWAA, and Amazon SageMaker

This post is co-written with Mahima Agarwal, Machine Learning Engineer, and Deepak Mettem, Senior Engineering Manager, at VMware Carbon Black VMware Carbon Black is a renowned security solution offering protection against the full spectrum of modern cyberattacks. With terabytes of data generated by the product, the security analytics team focuses on building machine learning (ML) …