In 2015, our early attempts to visualize how neural networks understand images led to psychedelic images. Soon after, we open sourced our code as DeepDream and it grew into a small art movement producing all sorts of amazing things. But we also continued the original line of research behind DeepDream, trying to address one of the most exciting questions in Deep Learning: how do neural networks do what they do?
Source: googleblog.com
Waze famously disrupted GPS navigation by crowdsourcing user data from mobile phones, instead of purchasing costly sensors tied to city infrastructure, as Nokia had done before them. Waze then scaled with low overhead costs by using machine learning algorithms to find precise traffic patterns that optimized each user’s route. The end result of this dynamic was massive layoffs at Nokia, and Google’s acquisition of / integration with Waze in 2013.
Read More
I graduated with a degree in AI when the cost of the equivalent computational power to an iPhone was $50 million. A lot has changed but surprisingly much is still the same.
Read More
Since the ’50s, scientists have chased the promise of clean energy from sun-like reactions between deuterium and tritium, the plentiful isotopes of hydrogen. This carbon-free energy, achieved at temperatures of 360 million degrees Fahrenheit, would offer a great way to heat water and, in turn, spin turbines to create countless kilowatts of electricity.
Read More