INFXL
INFXL's cloud service lets you train ultra-low power, fast, compact and inexpensive deep nets for battery-operated IoT edge devices and wearables. This service is focused on data from temperature, pressure, vibration, acceleration, speed, angular velocity, tilt, flow, smell, taste, and environmental sensors. The deep nets generated by this service work well on low-end hardware, but provide 10x the throughput of conventional nets on higher-end MCUs and FPGAs. INFXL Cloud is targeted at those w... ho want to use deep nets, but do not have the requisite knowledge and experience. A typical user will be an automation engineer, who knows how to collect and shape data and is interested in using deep nets as a controller. All you need to do is to normalize and scale the raw data and upload it in the form of features and labels files. Just two files; no questions asked about the deep net architecture or training parameters! In a day's time, you will receive a page of simple, highly-efficient C code that does not even read like a deep net. Adapt the input and output procedures to fit your project, and just like that, the system is good to go!
INFXL
Social Links:
Industry:
Artificial Intelligence DSP Field-Programmable Gate Array (FPGA) Internet Of Things Machine Learning Predictive Analytics Software
Founded:
2018-05-01
Address:
Colleyville, Texas, United States
Country:
United States
Website Url:
http://www.cloud.infxl.com
Total Employee:
1+
Status:
Active
Contact:
929-464-6395
Email Addresses:
[email protected]
Technology used in webpage:
Viewport Meta IPhone / Mobile Compatible SPF SSL By Default Google Font API Apple Mobile Web Clips Icon WordPress Font Awesome Wordpress Plugins Nginx
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- Host name: any-in-2615.1e100.net
- IP address: 216.239.38.21
- Location: Mexico City Mexico
- Latitude: 19.3421
- Longitude: -99.1927
- Timezone: America/Mexico_City
- Postal: 01090
