11 Best Smart Bulbs (2024): Lamp Bulbs, Ambient, Color, Etc
An internet-connected light bulb is one of the easiest way to start building a smarter home.
An internet-connected light bulb is one of the easiest way to start building a smarter home.
I’m trying to generate images of people using Stable Diffusion, but they always look directly at the camera. It’s starting to drive me crazy! I know that nobody looks directly at the camera when they’re taking a selfie in the mirror. So why does Stable Diffusion keep doing this? I’ve tried everything I can think …
Read more “How do I stop people from looking directly at the camera?”
The Biden administration aims to deploy offshore wind turbines capable of generating 30 gigawatts of power by 2030. With less than a decade to go, the country remains woefully behind target.
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Posted by Rajat Sen and Yichen Zhou, Google Research Time-series forecasting is ubiquitous in various domains, such as retail, finance, manufacturing, healthcare and natural sciences. In retail use cases, for example, it has been observed that improving demand forecasting accuracy can meaningfully reduce inventory costs and increase revenue. Deep learning (DL) models have emerged as …
Read more “A decoder-only foundation model for time-series forecasting”
Almost a year ago, IBM encountered a data validation issue during one of our time-sensitive mergers and acquisitions data flows. We faced several challenges as we worked to resolve the issue, including troubleshooting, identifying the problem, fixing the data flow, making changes to downstream data pipelines and performing an ad hoc run of an automated …
Read more “IBM Databand: Self-learning for anomaly detection”
Posted by Rajat Sen and Yichen Zhou, Google Research Time-series forecasting is ubiquitous in various domains, such as retail, finance, manufacturing, healthcare and natural sciences. In retail use cases, for example, it has been observed that improving demand forecasting accuracy can meaningfully reduce inventory costs and increase revenue. Deep learning (DL) models have emerged as …
Read more “A decoder-only foundation model for time-series forecasting”
One of the most useful application patterns for generative AI workloads is Retrieval Augmented Generation (RAG). In the RAG pattern, we find pieces of reference content related to an input prompt by performing similarity searches on embeddings. Embeddings capture the information content in bodies of text, allowing natural language processing (NLP) models to work with …
Read more “Monitor embedding drift for LLMs deployed from Amazon SageMaker JumpStart”
Introduction If you’re looking to transform the way you interact with unstructured data, you’ve come to the right place! In this blog, you’ll discover how the exciting field of Generative AI, specifically tools like Vector Search and large language models (LLMs), are revolutionizing search capabilities. You will learn the power of vector search and additionally, …
Read more “Automate public website indexing for efficient semantic search with Vertex AI”
OpenAI launches ChatGPT, a multimodal AI app that lets users chat with text, images, and voice on the Apple Vision Pro, the augmented reality headset powered by visionOS.Read More