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Artificial Intelligence Development: Vision & Deep Reinforcement Learning

Vision (image and video recognition)

 

Now: Being now the standard architecture running image-related apps for the majority of the tech behemoths, including FB and Google, Vision has lots of ways to develop and improve.

2040: You’ll be able to take your voice-activated AI steering wheel with you everywhere you go.

 

Deep reinforcement learning (RL)

 

Now: Today, RL techniques allows us playing atari games at human levels directly from video game pixels. Besides, RL is now widely used in robotics, supply chain optimization, and load scheduling. Coupled with artificial neural network programming, RL is used in transfer learning and big datasets scaling.

2040: Since the AI research powerhouse, Google deepmind, is mostly concentrated on deep reinforcement apps development, we can count on numerous advancements and improvements in the next two decades: human-like video gaming, advanced robots and big data scaling. Use this Deep Reinforcement Learning Papers to stay updated with everything happening in that area.

Of course, there are other AI areas that will face huge improvements. It’s crucial to add that only by perfectly combining all areas of artificial intelligence development, AI can become almost as indistinguishable as real human intelligence.

 

Key Takeaways

By 2040, because of its recursive self-improvement, artificial neural network programming will have become the most advanced AI in existence. There will been a lot of fascinating advances in different areas of AI software development with numerous other AI solutions still to be explored. And only by perfectly combining all areas of artificial intelligence development, AI can become almost as indistinguishable as real human intelligence.

What are your predictions for AI in 2040?

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