Introduction In my experience, I have observed that it’s common in machine learning to surrender to the process of experimenting with many different algorithms in a trial and error fashion, until you get the desired result. My peers and I at Google have a People and Planet AI YouTube series where we talk about how …
Read more “Intro to deep learning to track deforestation in supply chains”
Accurate measurement of daily infection incidence is crucial to epidemic response. However, delays in symptom onset, testing, and reporting obscure the dynamics of transmission, necessitating methods to remove the effects of stochastic delays from observed data. Existing estimators can be sensitive to model misspecification and censored observations; many analysts have instead used methods that exhibit …
Read more “Statistical Deconvolution for Inference of Infection Time Series”
This paper was accepted to the “Has it Trained Yet?” (HITY) workshop at NeurIPS 2022. The grokking phenomenon as reported by Power et al., refers to a regime where a long period of overfitting is followed by a seemingly sudden transition to perfect generalization. In this paper, we attempt to reveal the underpinnings of Grokking …
Posted by Noah Snavely and Zhengqi Li, Research Scientists, Google Research We live in a world of great natural beauty — of majestic mountains, dramatic seascapes, and serene forests. Imagine seeing this beauty as a bird does, flying past richly detailed, three-dimensional landscapes. Can computers learn to synthesize this kind of visual experience? Such a …
Read more “Infinite Nature: Generating 3D Flythroughs from Still Photos”
Amazon SageMaker Data Wrangler is a capability of Amazon SageMaker that makes it faster for data scientists and engineers to prepare high-quality features for machine learning (ML) applications via a visual interface. Data Wrangler reduces the time it takes to aggregate and prepare data for ML from weeks to minutes. With Data Wrangler, you can …
Read more “Cost-effective data preparation for machine learning using SageMaker Data Wrangler”
In December 2020, AWS announced the general availability of Amazon SageMaker JumpStart, a capability of Amazon SageMaker that helps you quickly and easily get started with machine learning (ML). JumpStart provides one-click fine-tuning and deployment of a wide variety of pre-trained models across popular ML tasks, as well as a selection of end-to-end solutions that …
Read more “Generate images from text with the stable diffusion model on Amazon SageMaker JumpStart”
In December 2020, AWS announced the general availability of Amazon SageMaker JumpStart, a capability of Amazon SageMaker that helps you quickly and easily get started with machine learning (ML). JumpStart provides one-click fine-tuning and deployment of a wide variety of pre-trained models across popular ML tasks, as well as a selection of end-to-end solutions that …
Read more “Run text generation with GPT and Bloom models on Amazon SageMaker JumpStart”
Artificial Intelligence is an exciting topic for some and horrifying to others. Reality seems to fall somewhere in-between the extremes.Read More
In the wake of last week’s release of the DALL-E API, startups racing to build generative AI for the enterprise are sure to follow.Read More
Voter intimidation has cropped up in places across the nation, but the voting booth remains the one place where nobody can get to you.