Getting catfished in 2006 simulator
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A decoder-only foundation model for time-series forecasting
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 …
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IBM Databand: Self-learning for anomaly detection
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 …
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A decoder-only foundation model for time-series forecasting
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”
Monitor embedding drift for LLMs deployed from Amazon SageMaker JumpStart
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 …
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Automate public website indexing for efficient semantic search with Vertex AI
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, …
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OpenAI launches ChatGPT app for Apple Vision Pro
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
Apple Quadrupled Its Autonomous Driving Testing Miles Last Year
Government records show Apple’s secretive auto division almost quadrupled its self-driving miles in 2023.
A sleeker facial recognition technology tested on Michelangelo’s David
Many people are familiar with facial recognition systems that unlock smartphones and game systems or allow access to our bank accounts online. But the current technology can require boxy projectors and lenses. Now, researchers report on a sleeker 3D surface imaging system with flatter, simplified optics. In proof-of-concept demonstrations, the new system recognized the face …
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A camera-based anti-facial recognition technique
Facial recognition systems, computational tools that can recognize individuals in images or video footage, are now widely employed worldwide. Some users and developers, however, have raised privacy-related concerns, as by definition facial recognition techniques rely on images that capture people’s faces. It is possible to use facial recognition techniques to identify the person by his/her …
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