Convoke | What the life sciences can learn from self-driving

Following years of anticipation, autonomous vehicles are here. Not all ambitious milestones and inflated expectations were fully met, but real progress has been made. Fully and partially autonomous vehicles are now among the most mature production applications of artificial intelligence (AI). Today, in San Francisco, I can summon a Waymo with my phone and minutes later a white Jaguar I-Pace, covered with spinning sensors, will pull up carefully — the driver’s seat empty. Assisted driving capabilities for consumer vehicles, like automated lane keeping, have continued to advance apace. Following the model pioneered by Tesla, those capabilities improve automatically every day from the data collected by customer vehicles. As the self-driving industry matures, there’s an ongoing migration of excitement and talent to other applications of AI, including the life sciences. This talent cross-pollination will lead to a shared language and a transfer of lessons between the two efforts. We believe

Following years of anticipation, autonomous vehicles are here. Not all ambitious milestones and inflated expectations were fully met, but real progress has been made. Fully and partially autonomous vehicles are now among the most mature production applications of artificial intelligence (AI). Today, in San Francisco, I can summon a Waymo with my phone and minutes later a white Jaguar I-Pace, covered with spinning sensors, will pull up carefully — the driver’s seat empty. Assisted driving capabilities for consumer vehicles, like automated lane keeping, have continued to advance apace. Following