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Happy Wednesday and Welcome back to AINow! We are thrilled to be here with you, sharing the latest and greatest advances in AI technology. Prepare yourself for an exciting journey as we take you through all the news and tools that this world has to offer.

Last week, Chinese scientists released a 360-degree self-driving perception dataset:

Researchers with the Chinese Academy of Sciences, PhiGent Robotics, and Tsinghua University have built OpenOccupancy, a dataset designed to help self-driving cars work out what is around them.

What is OpenOccupancy: OpenOccupancy extends the existing nuScenes dataset with dense semantic occupancy annotations. It contains 850 scenes with 200,000 distinct frames, collected by both camera and LiDAR sensors. 4,000 human hours went into the dataset labeling process. OpenOccupancy allows people to do 'Surrounding Occupancy Assessment'; this is a way to look at the 360 surroundings of the car, rather than a single front-view camera perspective. "Surrounding perception is more critical for safe driving," the researchers write.

Why this matters: Datasets like this are one of the numerous inputs into an increasingly complex 'AI supply chain'. If we study the proliferation of OpenOccupancy, it might also teach us something about the state of the self-driving car industry as well.

Now, lets get into today's issue!

🔧 Today's Top Tools 

  • Tax help service that uses advanced artificial intelligence and a team of tax experts to give fast, accurate answers to any tax-related questions.

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📊 News

🔑 Use Case 

Click the image below for a comprehensive, step-by-step guide on how to utilize ChatGPT and Replit to construct fully functional website.

🧠 Learn 

Looking to get started with machine learning and AI? You're probably wondering what you should learn first. In this video, learn about the exact things you need to know in order to get started with machine learning. Covers the best language to learn, how much math is necessary, and which ML algorithms are best for a beginner.

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