Here’s an interesting use of IoT and AI in agri-tech.

A Turkish researcher has developed technology that uses data from a visible light sensor to identify the ripeness of produce. The project’s goal is to detect ripeness in fruit and vegetables by monitoring pigment changes, Hack A Day reports. Rather than use a camera, the project relies on data from an AS7341 visible light sensor, which is better suited to capturing accurate spectral data.

Good news for folks looking to learn about the latest AI development techniques: Nvidia is now allowing the general public to access the online workshops it provides through its Deep Learning Institute (DLI).

The GPU giant today announced today that selected workshops in the DLI catalog will be open to everybody. These workshops previously were available only to companies that wanted specialized training for their in-house developers, or to folks who had attended the company’s GPU Technology Conferences.

Two of the open courses will take place next month, including “Fundamentals of Accelerated Computing with CUDA Python,” which explores developing parallel workloads with CUDA and NumPy and cost $500. There is also “Applications of AI for Predictive Maintenance,” which explores technologies like XGBoost, LSTM, Keras, and Tensorflow, and costs $700. Certificates are available for those who complete both workshops.

The price seems a little steep to me, but it may be worth checking out, since it includes GPU-accelerated development cloud compute services.