Quote

I loved logic, math, computer programming. I loved systems and logic approaches. And so I just figured architecture is this perfect combination.

As much as we may want to withdraw into a world of pure problem solving, we have to acknowledge that the most successful architectures are the ones you can actually convince someone to implement.

In my view, while the single neuron is the basic anatomical and information processing-signaling unit of the brain, it is not capable of generating behaviors and, ultimately, thinking. Instead, the true functional unit of the central nervous system is a population of neurons, or neural ensembles or cell assemblies.

There is huge demand for artificial intelligence technologies.

At this present time, matter is still the best way to think of architecture, but I'm not so sure for very long. The computer is radicalizing the way we think about our world.

Artificial intelligence is one of 50 things that Watson does. There is also machine learning, text-to-speech, speech-to-text, and different analytical engines - they're like little Lego bricks. You can put intelligence in any product or any process you have.

The problem with digital architecture is that an algorithm can produce endless variations, so an architect has many choices.

Cognitive neuroscience is entering an exciting era in which new technologies and ideas are making it possible to study the neural basis of cognition, perception, memory and emotion at the level of networks of interacting neurons, the level at which we believe many of the important operations of the brain take place.

The real goal of AI is to understand and build devices that can perceive, reason, act, and learn at least as well as we can.