Artificial Intelligence in Byte-sized Chunks

The Second World War brought devastation and horrific suffering for millions of people. But like all wars, it acted as a catalyst for rapid technological advancement

their own ways at surviving in their respective niches.

Biological brains

Grey Walter likened their brains to two sensory neurons: one for light, one for touch.

Bristol and a pioneer of the electroencephalograph (EEG machine) was one of the scientists who tried to understand intelligence in this new optimistic environment. After his experience in studying the human brain using the EEG, he had an idea. Instead of just studying brains, perhaps if you could make a brain then you could understand it better.
Grey Walter used pieces of old alarm clocks and army surplus materials to build two mechanical tortoises called Elmer and Elsie: autonomous battery-operated robots that used a rotating light sensor on the top to detect bright lights and move towards them. They also had touch sensors on the body so that if they bumped into an obstacle they would move away from it. Grey Walter likened their brains to two sensory neurons: one for light, one for touch. Surprisingly, despite such minimal brains, he discovered they

And in the words of an AI itself: ‘As we delve into the past, present and potential future of AI, we’ll uncover the intricate dance between human ingenuity and the ever-evolving realm of artificial intelligence.’

the 2007 paper, Hinton reviewed a variety of generative methods that were now showing promise. As Hinton summarized, a generative model is really two neural networks in one. The bottom-up network encodes the input data, typically reducing it to a smaller ‘latent representation’. A second top-down network then decodes this smaller representation and tries to reconstruct the original data. Training them together until the output matches the input results in a model that can learn classifications in a new and more effective way.

I have a smart TV, phone, car, watch and various other gadgets that I can actually talk to. They detect it’s me from my voice and can answer my questions or find a show I might like to see, or a product I’m currently looking for.

There are so many smart technological solutions today that help us in our daily lives. We live in an age of science fiction come true. I have a smart dishwasher and washing machine that both detect their respective contents and automatically adjust water usage and cleaning programs to save energy. I have a robot vacuum cleaner that cleans my floors, and I can see that it doesn’t miss any spots, as I might. (It can’t do the stairs though.) I have a smart heating system that heats only the zone of the house I’m in, and that adjusts its program depending on the weather outside as well as the temperature inside. I have a smart home that detects where I am and, based on the time of the sunrise and sunset, controls

There are so many smart technological solutions today that help us in our daily lives. We live in an age of science fiction come true. I have a smart dishwasher and washing machine that both detect their respective contents and automatically adjust water usage and cleaning programs to save energy. I have a robot vacuum cleaner that cleans my floors, and I can see that it doesn’t miss any spots, as I might. (It can’t do the stairs though.) I have a smart heating system that heats only the zone of the house I’m in, and that adjusts its program depending on the weather outside as well as the temperature inside. I have a smart home that detects where I am and, based on the time of the sunrise and sunset, controls lighting automaticall

After iterating a few times, the result was artwork evolved to suit the taste of the artist. (It was an idea that biologist Richard Dawkins had experimented with for his book The Blind Watchmaker – writing a little evolutionary program that evolved a range of ‘bugs’.)