VideoPoet: A large language model for zero-shot video generation
Posted by Dan Kondratyuk and David Ross, Software Engineers, Google Research A recent wave of video generation models has burst onto the scene, in many cases showcasing stunning picturesque quality. One of the current bottlenecks in video generation is in the ability to produce coherent large motions. In many cases, even the current leading models …
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Building with Palantir AIP: AI-Powered Process Mining
By Ruben Stroh, Palantir Deployment Strategist Introduction Since the launch of AIP, Palantir has worked with a wide spectrum of customers to deploy AI-centric process mining & automation workflows that save time, money, and resources. Today we’ll walk through a notional, step-by-step example of how to build this kind of solution with AIP. https://medium.com/media/2dc1cd6e4e6105cb2100362da699324f/href But before …
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Accelerate release lifecycle with pathway to deploy: Part 2
As enterprises embrace cloud native and everything as code, the journey from code to production has become a critical aspect of delivering value to customers. This process, often referred to as the “pathway to deploy,” encompasses a series of intricate steps and decisions that can significantly impact an organization’s ability to deliver software efficiently, reliably …
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VideoPoet: A large language model for zero-shot video generation
Posted by Dan Kondratyuk and David Ross, Software Engineers, Google Research A recent wave of video generation models has burst onto the scene, in many cases showcasing stunning picturesque quality. One of the current bottlenecks in video generation is in the ability to produce coherent large motions. In many cases, even the current leading models …
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Driving advanced analytics outcomes at scale using Amazon SageMaker powered PwC’s Machine Learning Ops Accelerator
This post was written in collaboration with Ankur Goyal and Karthikeyan Chokappa from PwC Australia’s Cloud & Digital business. Artificial intelligence (AI) and machine learning (ML) are becoming an integral part of systems and processes, enabling decisions in real time, thereby driving top and bottom-line improvements across organizations. However, putting an ML model into production …
DataComp: In Search of the Next Generation of Multimodal Datasets
*=Equal Contributors Multimodal datasets are a critical component in recent breakthroughs such as Stable Diffusion and GPT-4, yet their design does not receive the same research attention as model architectures or training algorithms. To address this shortcoming in the ML ecosystem, we introduce DataComp, a testbed for dataset experiments centered around a new candidate pool …
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Why you shouldn’t use Global Anycast DNS in China
Anycast is a standard, table-stakes feature of every authoritative DNS service. It makes sense: inbound queries should always be routed to the best available servers—usually the ones that are geographically closest. Yet, there is one glaring exception: China. The internet in mainland China is walled off from the rest of the world. Any DNS query that …
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ISO 42001: A new foundational global standard to advance responsible AI
Artificial intelligence (AI) is one of the most transformational technologies of our generation and provides opportunities to be a force for good and drive economic growth. The growth of large language models (LLMs), with hundreds of billions of parameters, has unlocked new generative AI use cases to improve customer experiences, boost employee productivity, and so …
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Nuclera aims to accelerate drug discovery with Google DeepMind AlphaFold2 on Vertex AI
Nuclera, a UK and US-based biotechnology company, is collaborating with Google Cloud to serve the life science community, marrying Nuclera’s rapid protein access benchtop system with Google DeepMind’s pioneering protein structure prediction tool, AlphaFold2 (ref 1) served on Google Cloud’s Vertex AI machine learning platform. With proteins representing 95% of drug targets, the demand to …
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