"When I saw the Google's AlphaGo, I realized something really serious is happening here,” said Makoto. “That was the trigger for me to start developing the cucumber sorter with deep learning technology." he system uses Raspberry Pi 3 as the main controller to take images of the cucumbers with a camera, and in a first phase, runs a small-scale neural network on TensorFlow to detect whether or not the image is of a cucumber. It then forwards the image to a larger TensorFlow neural network running on a Linux server to perform a more detailed classification.
There’s no way you can have an AI system that’s humanlike that doesn’t have language at the heart of it. It’s one of the most obvious things that set human intelligence apart. Language is special in that it relies on a lot of knowledge about language but it also relies on a huge amount of common-sense knowledge about the world, and those two go together in very subtle ways. Humans have the ability to learn very quickly from a relatively small amount of data and have a built-in ability to model the world in 3-D very efficiently. When we read, we play back memories, visions, sounds, feelings, etc, and inherent ideas gained through experience of ourselves as physical bodies in space. Language builds on other abilities that are probably more basic, that are present in young infants before they have language: perceiving the world visually, acting on our motor systems, understanding the physics of the world or other agents’ goals. It will be difficult to recreate language understanding in machines and AI systems without trying to mimic human learning, mental model building, and psychology.