AI technology for self-driving cars is usually trained in ideal conditions. But how can you ensure that such vehicles will be able to navigate in adverse weather? Breakthrough innovation specialist Cambridge Consultants has developed SharpWave, an AI technology that creates clear, undistorted views of the real-world from damaged or obscured moving images at https://nvda.ws/33VZE2v. Developed on the NVIDIA DGX POD reference architecture with NetApp storage known as ONTAP AI (https://nvda.ws/38b3kkf), SharpWave's power to see clearly in difficult, unpredictable situations could transform numerous machine vision and imaging and sensing applications, from autonomous driving to empowering healthcare professionals.

Enabling autonomous vehicles and personalizing advertising are two of the highest opportunity use cases for machine learning today. Additional use cases with high potential include optimizing pricing, routing, and scheduling based on real-time data in travel and logistics; predicting personalized health outcomes, and optimizing merchandising strategy in retail. McKinsey identified 120 potential use cases of machine learning in 12 industries and surveyed more than 600 industry experts on their potential impact. They found an extraordinary breadth of potential applications for machine learning. Each of the use cases was identified as being one of the top three in an industry by at least one expert in that industry.