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Look no further than David Hasselhoff and his futuristic Pontiac Firebird sidekick in the hit 1982 Knight Rider TV series for the answer.

For AI to recognize what’s happening in real-world video , lots of good training data and images are needed.

Boosted by machine learning, image recognition and NVIDIA GPUs, trains are on track to lead the way in autonomous transportation.

There’s more to self-driving than meets the AI.

Based on the data available and question at hand, a scientist will train an algorithm using a specific learning model.

In 2012, three developments came together to turbocharge computer vision progress.

Computer vision offers safety, security, convenience and efficiency. But how can we manage the benefits with the risks to our privacy?

All in all, it was another excellent conference with two days of learning and talking about computer vision, and two days of workshops.

There was a real buzzy vibe from the 2018 Embedded Vision Summit and it was busier and more exciting than ever.

How a top real estate company is leading the security industry towards modernization.