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Predictions for 2020:
Machine Learning
Steffen Wenz, CTO TrustYou
steffen@trustyou.net
Experts agree: Full/strong AI by end of the century
● Intelligence explosion, “technological singularity”
● Nick Bostrom: Superintelligence: Paths, Dangers,
Strategies
2012 2016 2020 2035 2100
Disruptions on the labor market
● Industrialization diminished physical jobs. What will
smart machines do to thinking/creative jobs?
● “Humans need not apply” (YouTube)
● The end of capitalism?
2012 2016 2020 2035 2100
Deep Learning
● Revival of neural networks with more computing power?
● Representation learning
→ No more feature modeling
● Learn from lots of unlabeled data
→ Less/no reliance on labeling data by humans
2012 2016 2020 2035 2100
“Google’s Artificial Brain
Learns to Find Cat Videos”
“A picture is worth a
thousand (coherent)
words” (2014)
2012 2016 2020 2035 2100
Deep learning out of the box with open source!
● Caffe (Berkeley Vision Group)
● TensorFlow (Google)
● …
● Integration with big data frameworks
2012 2016 2020 2035 2100
↝ Deep learning conquers more fields, outperforms ML
methods that rely on human expertise
○ Medicine, genetics!
↝ Smart assistants, limited to a certain domain,
part of everyday life (self-driving cars!)
↝ Dialog-style interaction with computers
↝ Resistance movements to technological unemployment
2012 2016 2020 2035 2100
● Warning, these are predictions made by humans!
● “People are biased to predict AI twenty years in the
future, or just before their own deaths”
● AI predictions from the 60s, followed by AI winter
2012 2016 2020 2035 2100
?
Thank you!
Steffen Wenz, CTO TrustYou
steffen@trustyou.net
www.trustyou.com

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DevTalks Cluj - Predictions for Machine Learning in 2020

  • 1. Predictions for 2020: Machine Learning Steffen Wenz, CTO TrustYou steffen@trustyou.net
  • 2.
  • 3. Experts agree: Full/strong AI by end of the century ● Intelligence explosion, “technological singularity” ● Nick Bostrom: Superintelligence: Paths, Dangers, Strategies 2012 2016 2020 2035 2100
  • 4. Disruptions on the labor market ● Industrialization diminished physical jobs. What will smart machines do to thinking/creative jobs? ● “Humans need not apply” (YouTube) ● The end of capitalism? 2012 2016 2020 2035 2100
  • 5. Deep Learning ● Revival of neural networks with more computing power? ● Representation learning → No more feature modeling ● Learn from lots of unlabeled data → Less/no reliance on labeling data by humans 2012 2016 2020 2035 2100
  • 6. “Google’s Artificial Brain Learns to Find Cat Videos” “A picture is worth a thousand (coherent) words” (2014) 2012 2016 2020 2035 2100
  • 7. Deep learning out of the box with open source! ● Caffe (Berkeley Vision Group) ● TensorFlow (Google) ● … ● Integration with big data frameworks 2012 2016 2020 2035 2100
  • 8. ↝ Deep learning conquers more fields, outperforms ML methods that rely on human expertise ○ Medicine, genetics! ↝ Smart assistants, limited to a certain domain, part of everyday life (self-driving cars!) ↝ Dialog-style interaction with computers ↝ Resistance movements to technological unemployment 2012 2016 2020 2035 2100
  • 9. ● Warning, these are predictions made by humans! ● “People are biased to predict AI twenty years in the future, or just before their own deaths” ● AI predictions from the 60s, followed by AI winter 2012 2016 2020 2035 2100 ?
  • 10. Thank you! Steffen Wenz, CTO TrustYou steffen@trustyou.net www.trustyou.com