Data Science by ODS.ai 🦜
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First Telegram Data Science channel. Covering all technical and popular staff about anything related to Data Science: AI, Big Data, Machine Learning, Statistics, general Math and the applications of former. To reach editors contact: @haarrp
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​​Important article in Nature about statistical significance

Scientists rise up against statistical significance β€” about motion to move from widely using and quoting statistical significance to confindence intervals.

Link: https://www.nature.com/articles/d41586-019-00857-9

#statistics #statsignificance #nature #science
Next-level learning approach: using MRI to peek into baby brains to improve CV

MRI Scanning 17 babies for 26 hours to see how face-recognizing brain regions mature. When just 4-6 months, babies prefer to look at faces & socially relevant things. This means face recognition is learned via evolution: data-hungry & sample-inefficient.

Link: https://www.nature.com/articles/ncomms13995

#nature
Speech synthesis from neural decoding of spoken sentences

Researchers tapped the brains of five epilepsy patients who had been implanted with electrodes to map the source of seizures, according to a paper published by #Nature. During a lull in the procedure, they had the patients read English-language texts aloud. They recorded the fluctuating voltage as the brain controlled the muscles involved in speaking. Later, they fed the voltage measurements into a synthesizer.

Nature: https://www.nature.com/articles/s41586-019-1119-1
Paper: https://www.biorxiv.org/content/biorxiv/early/2018/11/29/481267.full.pdf
YouTube: https://www.youtube.com/watch?v=kbX9FLJ6WKw

#DeepDiveWeekly #DL #speech #audiolearning
​​End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography

Researchers from #GoogleAi and #Stanford published work today in #Nature that shows great potential to use machine learning to help catch more lung cancer cases earlier and increase survival likelihood.

Link: http://go.nature.com/2LSMaAz

#LungCancer #Cancer #biolearning #healthcare #DL #CV
​​πŸ”₯DeepMind’s AlphaStar beats top human players at strategy game StarCraft II

AlphaStar by Google’s DeepMind can now play StarCraft 2 so well that it places in the 99.8 percentile on the European server. In other words, way better than even great human players, achieving performance similar to gods of StarCraft.

Solution basically combines reinforcement learning with a quality-diversity algorithm, which is similar to an evolutionary algorithm.

What’s difficult about StarCraft and how is it different to recent #Go and #Chess AI solutions: even finding winning strategy (StarCraft is famouse to closeness to rock-scissors-paper, not-so-transitive game design, as chess and go), is not enough to win, since the result depends on execution on different macro and micro levels at different timescales.

How that is applicable in real world: basically, it is running logistics, manufacture, research with complex operations and different units.

Why this matters: it brings AI one step closer to running real business.

Blog post: https://deepmind.com/blog/article/AlphaStar-Grandmaster-level-in-StarCraft-II-using-multi-agent-reinforcement-learning
Nature: https://www.nature.com/articles/d41586-019-03298-6
ArXiV: https://arxiv.org/abs/1902.01724
Nontechnical video: https://www.youtube.com/watch?v=6eiErYh_FeY

#Google #GoogleAI #AlphaStar #Starcraft #Deepmind #nature #AlphaZero