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On limits of deep learning and where to go next with AI.

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Posted May 4, 2016 by Filip Piekniewski

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Basic info

I’m proposing a new machine learning meta-architecture for learning forward models. The architecture is called Predictive Vision Model (PVM). In this blog I present my thoughts on how PVM relates to deep learning and the global AI landscape. Occasionally I’ll blog about my sysadmin projects and sci-fi.

See a short bio note here.

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Recent Posts

  • Farcical Self-Delusion
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  • Ai mid 2021. Self driving car meets reality.
  • AI Update, Late 2020 - dumpster fire
  • AI - the no bullshit approach
  • DeflAition
  • Autonomous vehicle safety myths and facts, 2020 update.
  • The musings of a transformer
  • AI update, late 2019 - wizards of Oz
  • Reviewing Rebooting AI
  • Civilization from scratch
  • AI circus, mid 2019 update
  • Deep learning and shallow data
  • A brief story of Silicon Valley's affair with AI
  • Autonomous vehicle safety myths and facts, 2019 update
  • Fooled by data
  • Elon and the collective
  • AI winter - update
  • Deep learning - the "why" question.
  • Mathematical foundations of neuroscience
  • Some fun numbers about the human brain
  • 2017 PVM talk at UC Merced
  • Autopsy of a deep learning paper
  • Rebooting AI - postulates
  • AI winter - Addendum
  • AI winter is well on its way
  • Are black holes really so black?
  • Some new ideas for AI benchmarks
  • Autonomous vehicle safety myths and facts, 2018 update
  • Electric shock
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  • Optimality, technology and fragility.
  • When the tail is bigger than the dog
  • The paradox of reproducibility in statistical research
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  • Autonomous car safety myths and facts
  • Intelligence confuses the intelligent
  • Inside of a nebula
  • The complexity of simplicity - balancing on the Occam's razor
  • Who will figure out intelligence?
  • The meta-parameter slot machine
  • Give me a dataset to train, and I shall move the world
  • Self made time capsule, part 2.
  • Self made time capsule, part 1
  • PVM on the GPU (dev update)
  • What would an autonomous car do?
  • Outside the box
  • Can a deep net see a cat?
  • Scaling up AI
  • Recurrent dreams and filling in
  • Learning physics is the way to go
  • More thoughts on the self driving car
  • Yann LeCun lecture at CMU, 11.2016, a few comments
  • Myths and facts about AI

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