As the only form of public transit that is readily capable of supporting social distancing, shared bikes and scooters will be an essential component of an effective urban economic recovery strategy in the coming months. Prior to COVID-19, the city of San Francisco announced that future shared scooter platforms will be required to have deterrents to riding on sidewalks. Naturally, being both SF residents who will be affected by this decision, and curious engineers with micromobility industry experience, we decided to leverage our expertise in machine learning to explore the specifics involved in implementing a system which can determine if a scooter is riding on a street or a sidewalk.
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Today, our colleagues at Cambridge Consultants unveiled Veloci-Vent, a sophisticated emergency ventilator designed and built at the request of the UK Government for use in the treatment of COVID-...
Architecture development for innovative products is exciting because options abound and we can exercise our creativity. At the same time, uncertainty lurks in the user experience, business case, and technical realms. Learn how we navigate this challenging terrain to help our clients deliver world-class products to market.
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