Category Added in a WPeMatico Campaign
Today, we are excited to announce Code Llama foundation models, developed by Meta, are available for customers through Amazon SageMaker JumpStart to deploy with one click for running inference. Code Llama is a state-of-the-art large language model (LLM) capable of generating code and natural language about code from both code and natural language prompts. Code …
At our Google Cloud Next event this past August, we announced the preview of Duet AI in Google Cloud, which embeds the power of generative AI to provide assistance to Google Cloud users of all types to help them get more done, faster. Since the announcement, we received a huge amount of interest from users …
Read more “The Making of Duet AI – your AI-powered collaborator in Google Cloud”
Patterns of chemical interactions are thought to create patterns in nature such as stripes and spots. This new study shows that the mathematical basis of these patterns also governs how sperm tail moves.
As the pace and volume of digital business continue to increase, organizations are facing mounting pressure to accelerate the speed at which they do business. The ability to quickly respond to shifting customer and market dynamics has become key for contending with today’s growing digital economy. In a survey run by IDC, a leading provider …
Read more “Real-time transaction data analysis with IBM Event Automation”
This guest post is co-written by Lydia Lihui Zhang, Business Development Specialist, and Mansi Shah, Software Engineer/Data Scientist, at Planet Labs. The analysis that inspired this post was originally written by Jennifer Reiber Kyle. Amazon SageMaker geospatial capabilities combined with Planet’s satellite data can be used for crop segmentation, and there are numerous applications and …
For several years, businesses have used Google Cloud’s Document AI to achieve faster, more accurate document processing, and improve the ways they process invoices, customer forms, and deliver services that rely on documents. Generative AI is transforming enterprise document processing by letting users input natural language prompts to classify, extract, and get deeper insights from …
Read more “Mobilize your unstructured data with generative AI”
Posted by Zhengqi Li and Noah Snavely, Research Scientists, Google Research A mobile phone’s camera is a powerful tool for capturing everyday moments. However, capturing a dynamic scene using a single camera is fundamentally limited. For instance, if we wanted to adjust the camera motion or timing of a recorded video (e.g., to freeze time …
Read more “DynIBaR: Space-time view synthesis from videos of dynamic scenes”
Modern application environments need real-time automated observability to have visibility and insights into what is going on. Because of the highly dynamic nature of microservices and the numerous interdependencies among application components, having an automated approach to observability is essential. That’s why traditional solutions like New Relic struggle to keep up with monitoring in cloud-native …
Read more “In observability, “automation” is spelled I-N-S-T-A-N-A”
Posted by Zhengqi Li and Noah Snavely, Research Scientists, Google Research A mobile phone’s camera is a powerful tool for capturing everyday moments. However, capturing a dynamic scene using a single camera is fundamentally limited. For instance, if we wanted to adjust the camera motion or timing of a recorded video (e.g., to freeze time …
Read more “DynIBaR: Space-time view synthesis from videos of dynamic scenes”