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Learn how Google Research’s team worked with collaborators at HHMI Janelia and Harvard University to build a dataset that tracks both the neural activity and nanoscale s… ​ 

Voice AI is transforming how we interact with technology, making conversational interactions more natural and intuitive than ever before. At the same time, AI agents are becoming increasingly sophisticated, capable of understanding complex queries and taking autonomous actions on our behalf. As these trends converge, you see the emergence of intelligent AI voice agents that …

Building intelligent AI voice agents with Pipecat and Amazon Bedrock – Part 1 Read More »

Multi-channel transcription streaming is a feature of Amazon Transcribe that can be used in many cases with a web browser. Creating this stream source has it challenges, but with the JavaScript Web Audio API, you can connect and combine different audio sources like videos, audio files, or hardware like microphones to obtain transcripts. In this …

Stream multi-channel audio to Amazon Transcribe using the Web Audio API Read More »

This is a guest post co-authored by Evan Miller, Noah Kershaw, and Valerie Renda of Kepler Group At Kepler, a global full-service digital marketing agency serving Fortune 500 brands, we understand the delicate balance between creative marketing strategies and data-driven precision. Our company name draws inspiration from the visionary astronomer Johannes Kepler, reflecting our commitment …

How Kepler democratized AI access and enhanced client services with Amazon Q Business Read More »

Meet the 20 organizations using generative AI to address tough societal issues. ​ 

Extract, built with Gemini, uses the model’s advanced visual reasoning and multi-modal capabilities to help councils turn old planning documents—including blurry maps an… ​ 

Recordings of business meetings, interviews, and customer interactions have become essential for preserving important information. However, transcribing and summarizing these recordings manually is often time-consuming and labor-intensive. With the progress in generative AI and automatic speech recognition (ASR), automated solutions have emerged to make this process faster and more efficient. Protecting personally identifiable information (PII) …

Build a serverless audio summarization solution with Amazon Bedrock and Whisper Read More »

As companies and individual users deal with constantly growing amounts of video content, the ability to perform low-effort search to retrieve videos or video segments using natural language becomes increasingly valuable. Semantic video search offers a powerful solution to this problem, so users can search for relevant video content based on textual queries or descriptions. …

Implement semantic video search using open source large vision models on Amazon SageMaker and Amazon OpenSearch Serverless Read More »

GPUs are a precious resource; they are both short in supply and much more costly than traditional CPUs. They are also highly adaptable to many different use cases. Organizations building or adopting generative AI use GPUs to run simulations, run inference (both for internal or external usage), build agentic workloads, and run data scientists’ experiments. …

Multi-account support for Amazon SageMaker HyperPod task governance Read More »

Businesses rely on precise, real-time insights to make critical decisions. However, enabling non-technical users to access proprietary or organizational data without technical expertise remains a challenge. Text-to-SQL bridges this gap by generating precise, schema-specific queries that empower faster decision-making and foster a data-driven culture. The problem lies in obtaining deterministic answers—precise, consistent results needed for …

Build a Text-to-SQL solution for data consistency in generative AI using Amazon Nova Read More »