In 1979 Al reached the point of demonstrating its ability to drive a car for the first time. It has still taken decades for this technology to enter the mainstream, but the hype has passed as we enter an era of productivity.
Looking to the future has cursed researchers for decades. AI winters seemed to ebb and flow since the cold war, and many had all but given up hope. In contrast, the past 20 years have focused on steady, hype-free development. Milestones were used as media talking points, as opposed to their expectation. One could even argue that chess, Go, and driving have been solved.
Progress has been so fruitful, that government has turned their eye back to the realm of AI, this time with an optimistic, yet methodically critical eye. It seems that we have finally entered into a time when AI will decide on the direction of progress.
Deep Blue vs. Gary Kasparov match and what happened next
Today, we need not worry about another AI winter. Technological progress went further than anyone could expect just a few decades ago, and storage is not longer the concern. So what does AI bring about nowadays?
It's worth taking the time to dig down to the foundations.
Let's jump back to the podcast:
To top-up what’s already been said, it’s worth to take your time to search for the information on its very roots. You can easily access them with the resource list below:
- Kasparov vs. Deep Blue match: Deep Blue algoritm and hadware
- Difference between statistical speech vs. deep learning model
- How AlphaGo works
- White House report on AI and its follow up
- Barcley’s voice security technology