Now We’re Talking!
We just released a new GenAI feature in Data Studio that rapidly creates hyper-realistic synthetic speech datasets from simple text input. In this blog we walk through the details of the feature and how to use it.
We just released a new GenAI feature in Data Studio that rapidly creates hyper-realistic synthetic speech datasets from simple text input. In this blog we walk through the details of the feature and how to use it.
Integrating generative AI into SensiML’s open-source Piccolo AI toolkit is a significant opportunity ripe for prototyping, testing, and ongoing refinement. We discuss the prospects for generative AI and explore specific ideas for its use.
SensiML Analytics Toolkit now provides pipeline support for one of the most popular open-source AI frameworks in existence: TensorFlow, specifically its TinyML variant TensorFlow Lite for Microcontrollers. This week we’ve added a step-by-step boxing wearing tutorial showing how SensiML data collection, annotation, and feature preprocessing are combined with a neural network classifier using TFL Micro.
SensiML Analytics Toolkit now provides pipeline support for one of the most popular open-source AI frameworks in existence: TensorFlow, specifically its TinyML variant TensorFlow Lite for Microcontrollers. The combination of SensiML and TensorFlow Lite for Microcontrollers offers best-in-class AI code generation for TinyML applications from consumer wearables to multi-sensor industrial monitoring devices.
Scenario: Six months and $500,000 of investment into a key initiative to build a more intelligent product or streamline a strategic internal process using AI, and things are not going well.
The frequent culprit is poor upfront planning for a data-centric approach to development. Read more about this all too common issue that can undermine AI project success before you even start.
As we seek to spread the word on our COVID-19 AI data collection initiative, Nasdaq generously offered to promote our initiative on the “Nasdaq Tower”, a giant multi-story electronic display in Times Square in New York City. Those interested in contributing anonymous cough sound samples on our collection site https://sensiml.com/covid-19 can help build sensor insight we will make available as open source dataset and an edge AI screening solution later this year.