This week SensiML joined a distinguished panel of healthcare, technology, and academic leaders to overview its contributions to towards an innovative COVID-19 screening technology for deployment later this year.
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.
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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.
SensiML announces two COVID-19 initiatives:
1) SensiML Toolkit Starter Edition is now available for a limited time at $99 for a 90-day license.
2) SensiML to open-source a COVID-19 AI dataset for rapid virus screening from cough sounds. Learn how you can contribute to this project yourself.
This week SensiML is releasing an all new version of its industry leading AutoML application SensiML Analytics Studio for building optimized embedded sensor algorithms for IoT devices. SensiML Analytics Studio has existed since our inception as a core component of our AI Toolkit. Previously it consisted of both a Python language interface for data scientists
Today we announced that our SensiML Analytics Toolkit supports NXP’s i.MXT RT portfolio of crossover microcontrollers and their associated i.MX RT1050 Evaluation Kit. This announcement is significant as it gives users of those devices a complete AI-based sensor algorithm development solution for IoT endpoints. With this, NXP customers using the i.MX RT crossover MCUs can
Artificial Intelligence (AI) is becoming increasingly commonplace as organizations seek to bring effective decision making and operational efficiencies to business in ways that transform how humans and machines work together. As this transformation takes shape, the advantages of edge-based AI implementations over centralized or cloud-based models is changing how AI tools are being deployed and
Nordic Semiconductor‘s nRF52 Bluetooth® SoC is supported within the SensiML Toolkit and includes out-of-the-box connectivity for the Nordic Thingy:52™ directly within our Data Capture Lab data collection and labeling application. This week, Nordic featured SensiML in its GetConnected blog series that covers a range of key topics related to the connected world of the Internet
Today kicked off a week of demo meetings at CES showcasing how SensiMLTM Analytics Toolkit can make quick work of algorithm development for IoT sensing wearable devices. Our demo suite showed first-hand the data collection, AutoML code generation, and testing of two different wearable applications that were built in under a week. Demo #1 –
SensiML™ Corporation, a leading developer of AI tools for building intelligent IoT endpoints, will be demonstrating its SensiML Analytics Toolkit and how easy it is to integrate real-world edge AI inference models into existing IoT platform. SensiML offers an IoT AI software program that enables developers to build intelligent endpoints quickly and easily (up to five times faster
The Smart Manufacturing Innovation Center (SMIC) showcased SensiML and QuickLogic Quick AI industrial sensing this past month as part of their pilot manufacturing demonstration. The demonstration and multi-phase pilot for rapid configuration modular manufacturing cells with predictive maintenance are functioning at their R&D center based in Seoul, South Korea. The pilot demonstrates how flexible manufacturing
SensiML offers an IoT AI software program that enables developers to build intelligent endpoints quickly and easily (up to five times faster than hand-coded solutions). Now with the availability of the free trial and Data Depot dataset repository, developers have the opportunity to easily preview the toolkit and learn how SensiML can vastly accelerate IoT algorithm development
