Advertisers, publishers, and advertising technology providers are actively seeking efficient ways to collaborate with their partners to generate insights about their collective datasets. One common reason to engage in data collaboration is to run an audience overlap analysis, which is a common analysis to run when media planning and evaluating new partnerships. In this post, …
Read more “Run an audience overlap analysis in AWS Clean Rooms”
AI is making a powerful impact all around us, but few sectors stand to benefit as profoundly as healthcare. Doctors and nurses are already starting to use AI as a capable assistant — getting help with medical notes, for example, or using AI in medical imaging to help with disease detection. This is just the …
Read more “Healthcare’s AI transformation is already underway”
Researchers got a valuable assist from artificial intelligence (AI) tools to help capture and analyze data from professional hockey games faster and more accurately than ever before, with big implications for the business of sports.
Posted by Zilong Wang, Student Researcher, and Chen-Yu Lee, Research Scientist, Cloud AI Team People use tables every day to organize and interpret complex information in a structured, easily accessible format. Due to the ubiquity of such tables, reasoning over tabular data has long been a central topic in natural language processing (NLP). Researchers in …
Read more “Chain-of-table: Evolving tables in the reasoning chain for table understanding”
*=Equal Contributors Personal devices have adopted diverse authentication methods, including biometric recognition and passcodes. In contrast, headphones have limited input mechanisms, depending solely on the authentication of connected devices. We present Moonwalk, a novel method for passive user recognition utilizing the built-in headphone accelerometer. Our approach centers on gait recognition; enabling users to establish their …
Read more “Moonwalk: Advancing Gait-Based User Recognition on Wearable Devices with Metric Learning”
Posted by Zilong Wang, Student Researcher, and Chen-Yu Lee, Research Scientist, Cloud AI Team People use tables every day to organize and interpret complex information in a structured, easily accessible format. Due to the ubiquity of such tables, reasoning over tabular data has long been a central topic in natural language processing (NLP). Researchers in …
Read more “Chain-of-table: Evolving tables in the reasoning chain for table understanding”
VistaPrint, a Cimpress business, is the design and marketing partner to millions of small businesses around the world. For more than two decades, VistaPrint has empowered small businesses to quickly and effectively create the marketing products – from promotional materials and signage to print advertising and more – to get the job done, regardless of …
Read more “How VistaPrint delivers personalized product recommendations with Amazon Personalize”
The open-source tool Vertex AI AlphaFold Inference Pipeline has enabled biotech companies in streamlining protein-folding activities, accelerating their go to market timeline. It addresses key challenges in protein structure prediction by unleashing the power of parallel processing, optimizing compute resources, and scaling to meet high-throughput demands. Furthermore, it ensures reproducibility, lineage analysis, flexibility, adaptability, and …
Read more “A window into protein folding: Lowering the barriers for AlphaFold Inferencing”
The integration of AI technologies has become crucial for organizations seeking to drive innovation, enhance productivity and gain a competitive edge. Among the most promising advancements are the use of large language models (LLMs), retrieval-augmented generation (RAG) and accelerated data processing to adopt generative AI capabilities. These technologies have the potential to reshape industries, revolutionize …
Read more “Explore the Transformative Potential of AI Across Industries at NVIDIA GTC”
Spanner, Google Cloud’s fully managed, highly available distributed database service, combines virtually-unlimited horizontal scalability with relational semantics, for both relational and non-relational workloads — all with a 99.999% availability SLA. As data volumes grow and applications demand more from their operational databases, customers need scale. We recently announced support for searching vector embeddings with exact …