The year in AI: 2019 ML/AI advances recap

  • Computers learn to talk (i.e. language models like Bert and specially GPT-2 get scaringly good)
  • AI becoming good at creating synthetic content has some serious consequences
  • The biggest theoretical controversy continues to be how to incorporate innate knowledge or structure into machine learned models. There has been little practical progress towards this end, and little progress towards any other theoretical breakthrough.
  • The revolution may get unsupervised at some point, but for now we can make it self-supervised
  • Computers continue to get better at playing games and can now collaborate in multi-agent escenarios
  • Other areas like Healthcare and Recommender Systems continue to see advances by using Deep Learning, but some of these advances are questioned
  • The war between frameworks continues, with a major TensorFlow release and also big movements on the Pytorch arena.
  1. There will be more advances in NLP, some of which will be categorized as breakthroughs
  2. AI will get better at faking all kinds of content, and we will see efforts on how to avoid the possible negative side effects
  3. Aspects such as uncertainty modeling, out-of-distribution modeling, metalearning, or interpretability will continue to be top of mind for many.
  4. AI will continue to hugely impact broad application areas such as Healthcare
  5. We won’t get see self-driving Teslas on the roads
  6. We won’t solve AGI

--

--

--

Cofounder/CTO at Curai (AI for healthcare). Former Quora VP, Netflix Director. Software, Machine Learning, Data, Recsys... From Barcelona, in the Valley

Love podcasts or audiobooks? Learn on the go with our new app.

Recommended from Medium

Mudley Project#2 Timebase Rebalance AI — Payoff#6

The Semiotic Approach to the AI Art of Fabrizio Augusto Poltronieri

10 Questions to Keep in Mind for Designing a Successful AI Solution

Major issues of AI in 2022

AI Myth and Reality: Are AI and Machine Learning the Same Thing?

Artificial intelligence and music: a tool shaping how composers work

Grievance Management: Retelling The Epic With A New Paradigm

Chomsky vs. Norvig

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Xavier Amatriain

Xavier Amatriain

Cofounder/CTO at Curai (AI for healthcare). Former Quora VP, Netflix Director. Software, Machine Learning, Data, Recsys... From Barcelona, in the Valley

More from Medium

Knowledge from Knowledge Representations

Nanit’s AI Development Process — Improve Your Model Quality, Time to Market and Culture

The Sequence Scope: The ML Hardware Virtualization Layer

Housing Data: a Closer Look