RAPIDS: A Data Science & Analytics Pipeline Accelerator

The RAPIDS suite of open source software libraries gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs. RAPIDS is incubated by NVIDIA® based on years of accelerated data science experience. RAPIDS relies on NVIDIA CUDA® primitives for low-level compute optimization, and exposes GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces.

Source: rapids.ai/

RAPIDS: A Data Science & Analytics Pipeline Accelerator

Mark IV

We provide anyone with a computer, the tools necessary to sample the electrical activity of their body. Our vesatile and affordable bio-sensing microcontrollers can be used to sample electrical brain activity (EEG), muscle activity (EMG), heart rate (EKG), and much more. Our 3D-printable EEG headsets can be used to get research-grade EEG recordings.

Source: openbci.com/

OpenBCI – Open Source Biosensing Tools (EEG, EMG, EKG, and more)

Faster R-CNN (object detection) implemented by Keras for custom data from Google’s Open Images…

The whole dataset of Open Images Dataset V4 which contains 600 classes is too large. So we extract 1,000 images for three classes, ‘Person’, ‘Mobile phone’ and ‘Car’ respectively.

Source: towardsdatascience.com/faster-r-cnn-object-detection-implemented-by-keras-for-custom-data-from-googles-open-images-125f62b9141a

Faster R-CNN (object detection) implemented by Keras for custom data from Google’s Open Images

In this project we present an approximation for the introduction of IoT devices to our clothes. These devices will be able to capture heart signals, calculate beats per minute, detect falls and possibly predict heart problems. All this with the aim of improving people’s quality of life. For this, we will rely on artificial intelligence tools and automatic learning, Bluetooth communications, WiFi and NFC.

Source: www.hackster.io/jarain78/smart-wear-for-application-in-internet-of-medical-thing-iom-a4ec76

Smart wear for application in Internet of medical thing (IoMT)