Vivek from NexStem. We have stopped our current EEG headset production and so does our support for WisdomSDK (No code Webapp). NexStem will soon launch the next version of headset and software. If you want to get in touch, kindly contact us through website: https://nexstem.ai. Source: over 1 year ago

Hey, you should checkout NexStem Headset. 16 channels - 976Hz sampling frequency. Flexible to fit all head shapes Https://nexstem.ai. Source: about 2 years ago

Working as a Data Scientist and Cloud Solutions Architect in my startup CortexBCI, I had the responsibility to host and publish our Wisdom PythonSDK for Brain Controlled Interface application development. This was the first motivation for me to write the blog to simplify the process of hosting python packages in Azure DevOps for other developers. I read through several documentations and blogs for the same but the... - Source: dev.to / almost 3 years ago

We have designed a revolutionary new headset that comes with its proprietary Wisdom SDK (Free, Local, Standard Cloud and Professional Cloud plans available). Check out more information at nexstem.ai . The goal of the company is empower developers and researchers in the field of brain computer interfaces by removing barriers of affordability and lack of computational resources. Source: almost 3 years ago

Cloud Storage: blog storage for static assets and media files. - Source: dev.to / 6 months ago

Preevy includes built-in support for saving profiles on AWS S3 and Google Cloud Storage. You can also store the profile on the local filesystem and copy it manually before running Preevy - we won't show this method here. - Source: dev.to / 7 months ago

Google Cloud Storage{:target="_blank"} is a globally distributed object storage service offered by Google Cloud Platform. They provide trustworthy and scalable databases for storing large amounts of blob data. They also provide a way to optimize cost and performance with different storage classes and pricing options. - Source: dev.to / 11 months ago

Google Cloud Storage - https://cloud.google.com/storage/. - Source: dev.to / 12 months ago

Also, in terms of packing a pre-trained model you will probably want to puts weights, biases etc into S3 or similar object storage (https://cloud.google.com/storage etc) and load it on application start. Source: about 1 year ago