Movie magic: computer generated images of automotive scenarios provide valuable synthetic data for AI.
Self-driving car developers safely explore extreme scenarios during autonomous vehicle training thanks to the rise of synthetic data for AI.
Deep learning has pushed the capabilities of artificial intelligence to new levels, but there are still some kinks to straighten out. Particularly in safety-critical applications such as self-driving cars. If an artificial intelligence (AI) recommendation engine gets its predictions wrong and puts a strange advert in your browser window, you might raise an eyebrow. But no long-term damage would have been done. Things are very different of course when algorithms get behind the wheel and encounter something they’ve never seen before. Rare events, or edge cases, present a tricky problem for developers of autonomous vehicles. Fortunately, synthetic data for AI – based on lifelike simulations of real-world events – could help to fill in the gaps.
Continue reading… “Synthetic data for AI fills gaps in edge cases”
