AI and the Economy:
MIT Technology Review’s Melissa Heikkilä writes, “The economy is down, but AI is hot. Where do we go from here?” AI research, she writes, has gone through two winters and is currently experiencing a spring. This current spring is due to breakthroughs in neural networks, the availability of vast amounts of data and powerful computers.
Computer science professor Peter Stone states that previous downturns happened after the hottest AI techniques of the day failed to show progress and were unreliable and difficult to run. But today, despite the economic downturn, AI research is still productive. Each new rollout pushes back the frontiers of what AI can do. This is a far cry from the field’s reputation in the 1990s. Computer science professor Michael Wooldridge notes that back then, AI was still seen as a fringe pursuit. The tech sector viewed it in the same way established medicine todays views homeopathy.