Uber Freight's chatbot for the supply chainThe company unveiled Insights AI, a generative-AI-powered insights tool that leverages large language models to provide insights from Uber Freight's transportation data.
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Led by Chief Scientist Zoubin Ghahramani, Uber AI is doing exciting work in areas of research including Natural Language Processing, Bayesian Optimization, Neuroevolution, Reinforcement Learning, Deep Learning, and Computer Vision.
Uber uses convolutional neural networks in many domains that could potentially involve coordinate transforms, from designing self-driving vehicles to automating street sign detection to build maps and maximizing the efficiency of spatial movements in the Uber Marketplace.
Uber uses Kafka and its own production databases for data streaming. And data storage depends on Hive, HDFS, Elasticsearch, MapReduce, and file storage web services. The company has also developed its own LIDAR that ensures internal sharing.
Uber, a popular ride-hailing company, chose Go as its preferred programming language for its backend infrastructure. Go's concurrency support enables Uber to handle a massive number of requests, making it an ideal choice for its high-traffic platform.