The history of artificial intelligence has been marked by repeated cycles of extreme optimism and promise followed by disillusionment and disappointment. Today’s AI systems can perform complicated tasks in a wide range of areas, such as mathematics, games, and photorealistic image generation. But some of the early goals of AI like housekeeper robots and self-driving cars continue to recede as we approach them. Part of the continued cycle of missing these goals is due to incorrect assumptions about AI and natural intelligence, according to Melanie Mitchell, Davis Professor of Complexity at the Santa Fe Institute and author of Artificial Intelligence: A Guide…
This story continues at The Next Web
4 ideas about AI that even ‘experts’ get wrong
The Next Web
0 shares
1 views
You might like
Related news coverage
Why A Baby Boom Would Be Good For The Environment – OpEd
Eurasia Review
By Joseph Sunde*
It’s become fashionable for doomsday prophets to predict that “overpopulation” will lead to..
We Cannot Build An Economy On Lies – OpEd
Eurasia Review
Making Our Zakat More Constructive
MENAFN.com