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The introduction of generative AI systems into the public domain exposed people all over the world to new technological possibilities, implications, and even consequences many had yet to consider. Thanks to systems like ChatGPT, just about anyone can now use advanced AI models that are not only capable of detecting patterns, honing data, and making …
Read more “Don’t pause AI development, prioritize ethics instead”
One of the most popular models available today is XGBoost. With the ability to solve various problems such as classification and regression, XGBoost has become a popular option that also falls into the category of tree-based models. In this post, we dive deep to see how Amazon SageMaker can serve these models using NVIDIA Triton …
According to Harvard Business Review, only 20% of companies see their models go into production for AI. Google Cloud Dataflow builds on one of the most popular open source frameworks, Apache Beam, which is a unified programming model and SDK for developing batch and streaming pipelines. Continuing our commitment to building an open product, working …
Read more “Running ML models now easier with new Dataflow ML innovations on Apache Beam”
NVIDIA today introduced a wave of cutting-edge AI research that will enable developers and artists to bring their ideas to life — whether still or moving, in 2D or 3D, hyperrealistic or fantastical. Around 20 NVIDIA Research papers advancing generative AI and neural graphics — including collaborations with over a dozen universities in the U.S., …
Read more “Latest NVIDIA Graphics Research Advances Generative AI’s Next Frontier”
TL;DR Everything in modeling will change. These images were generated by Midjourney. How will AI disrupt the modeling industry? AI has the potential to significantly disrupt the modeling industry in various ways, from automating processes to changing the way models are discovered and represented. Here are some potential impacts: AI-generated models: AI can create realistic …
The last few years—even the last few months—have seen artificial intelligence (AI) breakthroughs come at a dizzying pace. AI that can generate paragraphs of text as well as a human, create realistic imagery and video from text, or perform hundreds of different tasks has captured the public’s attention. People see AI’s high level of performance, …
Read more “What policymakers need to know about foundation models”
Posted by Catherine Armato, Program Manager, Google The Eleventh International Conference on Learning Representations (ICLR 2023) is being held this week as a hybrid event in Kigali, Rwanda. We are proud to be a Diamond Sponsor of ICLR 2023, a premier conference on deep learning, where Google researchers contribute at all levels. This year we …
The rapid adoption of smart phones and other mobile platforms has generated an enormous amount of image data. According to Gartner, unstructured data now represents 80–90% of all new enterprise data, but just 18% of organizations are taking advantage of this data. This is mainly due to a lack of expertise and the large amount …
Read more “Prepare image data with Amazon SageMaker Data Wrangler”
More and more organizations are running data applications on Google Kubernetes Engine (GKE), as evidenced by the number of Kubernetes clusters running stateful applications on GKE, which has been growing exponentially since 2019, doubling every year on average. And with the rise of both AI/ML workloads and data on Kubernetes, customers are looking for more …
Read more “Announcing Cloud Storage FUSE and GKE CSI driver for AI/ML workloads”
Customers from Japan to Ecuador and Sweden are using NVIDIA DGX H100 systems like AI factories to manufacture intelligence. They’re creating services that offer AI-driven insights in finance, healthcare, law, IT and telecom — and working to transform their industries in the process. Among the dozens of use cases, one aims to predict how factory …
Read more “Now Shipping: DGX H100 Systems Bring Advanced AI Capabilities to Industries Worldwide”