Alphabet Layoffs Hit Trash-Sorting Robots
The company recently laid off thousands of human employees—it is also shutting down a unit working on robots that learned to open doors and clean tables.
AI experts suggest 39% of time currently spent on chores could be automated within the next decade
On average, 39% of time currently spent on unpaid domestic work could be automated within the next decade, suggest AI experts from the UK and Japan. The findings are published in PLOS ONE by a team led by Ekaterina Hertog at the University Oxford, UK, and colleagues in Japan.
I swear I’ve seen this town before (ControlNet Depth map)
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The data scientist’s view: what marketers need to know about ChatGPT
The post The data scientist’s view: what marketers need to know about ChatGPT appeared first on Phrasee.
Bard VS. Bing: Examining The Start of Web War 1 For AI-Infused Search
The first half of February was huge for the future of internet search. But it wasn’t a perfect launch.
Using Learning Rate Schedule in PyTorch Training
Training a neural network or large deep learning model is a difficult optimization task. The classical algorithm to train neural networks is called stochastic gradient descent. It has been well established that you can achieve increased performance and faster training on some problems by using a learning rate that changes during training. In this post, …
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Google Research, 2022 & beyond: Natural sciences
Posted by John Platt, Distinguished Scientist, Google Research (This is Part 7 in our series of posts covering different topical areas of research at Google. You can find other posts in the series here.) It’s an incredibly exciting time to be a scientist. With the amazing advances in machine learning (ML) and quantum computing, we …
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MLOps deployment best practices for real-time inference model serving endpoints with Amazon SageMaker
After you build, train, and evaluate your machine learning (ML) model to ensure it’s solving the intended business problem proposed, you want to deploy that model to enable decision-making in business operations. Models that support business-critical functions are deployed to a production environment where a model release strategy is put in place. Given the nature …
Document AI Workbench is now Generally Available to train document extraction models for your production use cases
Each day, more documents are created and used across companies to make decisions. However, the value in these documents is primarily expressed as unstructured data, which makes the value difficult and manually intensive to extract and use for business processes. As the number and variety of documents used by businesses proliferate, machine learning (ML) solutions …
2023 data, ML and AI landscape: ChatGPT, generative AI and more
The last few months have seen the exponential acceleration of data, ML and AI. Here are the current landscape and trends for the coming year.Read More