AI, Machine Learning and Deep Learning News

Categories Machine Learning

This page serves as a chronological catalogue used when discussing Machine and Deep Learning news with the Code Academy class in 2020 – 2021.

2021-08-30

  1. Is there a ML / DL model to detect logical fallacies, some research: https://cs.nyu.edu/~davise/papers/GPT3CompleteTests.html and https://towardsdatascience.com/is-gpt-3-reasonable-enough-to-detect-logical-fallacies-3c3dc4b7fda1

2021-08-03

  1. Hundreds of AI tools have been built to catch covid. None of them helped: https://www.technologyreview.com/2021/07/30/1030329/machine-learning-ai-failed-covid-hospital-diagnosis-pandemic/ There are some curious cases of GIGO mentioned, like: bias introduced by pictorial artifacts like timestamps on the picture being added by some hospital in a certain place on the picture, data with covid positive patients being intermixed with data from children, dataset where standing people’s scans are distributed with patient’s scanned while laying down.
  2. >95% accuracy in Covid prediction: https://www.sciencedirect.com/science/article/pii/S2352914820305992 TODO – need to find the dataset and try to see what kind of results could we get in class.
  3. Lithuanian companies working with ML/DL: https://github.com/Zujus/Artificial-Intelligence-Group

2021-06-03

  1. CPython will get faster: https://pyfound.blogspot.com/2021/05/the-2021-python-language-summit-making.html

2021-05-27

  1. Awesome python repository of awesome python libz and frameworks: https://github.com/vinta/awesome-python
  2. Facebook AI: “High-performance speech recognition with no supervision at all”: https://ai.facebook.com/blog/wav2vec-unsupervised-speech-recognition-without-supervision/
  3. News concentrator: https://news.ycombinator.com/news

2021-05-17

  1. Summary of Google I/O AI improvements: https://www.youtube.com/watch?v=3k37fz9p6_k

2020-12-28

  1. 2 big inventions in DL 2020: https://venturebeat.com/2020/12/17/has-ai-adoption-plateaued-or-is-it-just-catching-its-breath/
  2. Faceception: https://www.businessinsider.com/does-faception-work-2016-10
  3. iDenfy and Manu Analytics: https://www.vz.lt/paslaugos/2020/12/24/nauja-paslauga-nupies-vartotojo-psichologini-portreta-kol-jis-registruojasi&baRCv
  4. Mercedes AI: https://www.youtube.com/watch?v=z67mHq2tVhk

2020-12-08

  1. Silent ML https://www.youtube.com/watch?v=eRwt_FXTdmg

2020-12-03

  1. Mac mini teardown: https://www.youtube.com/watch?v=hczcaGX62S0

2020-11-20

  1. Is Macbook M1 good for software engineering: https://www.youtube.com/watch?v=ji9j-JWbgAo
  2. Great for datascience in the comments on this video: https://www.youtube.com/watch?v=1uZB55_TZFw
  3. Bench: https://machinelearning.apple.com/updates/ml-compute-training-on-mac

2020-11-16

  1. Real time person remover: https://github.com/jasonmayes/Real-Time-Person-Removal
  2. Yet Another EfficientDet Pytorch: https://github.com/zylo117/Yet-Another-EfficientDet-Pytorch
  3. Facebook DETR: https://github.com/facebookresearch/detr
  4. YOLOv5: https://github.com/ultralytics/yolov5

2020-11-09

  1. Some data analysis techniques applies for election fraud investigation: https://theredelephants.com/there-is-undeniable-mathematical-evidence-the-election-is-being-stolen/
  2. Benford’s law applied to corona: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7487520/
  3. More, in human: https://www.statisticshowto.com/benfords-law/#

2020-11-03

  1. Interesting traffic monitoring: https://twitter.com/TruthAbtChina/status/1323642520744636429
  2. ML flashcards: https://machinelearningflashcards.com/ (proposed here not as a advertisement, but as a pedagogical idea)

2020-10-28

  1. Only when organizations add the ability to learn with AI do significant benefits become likely
  2. Neural Filters in Photoshop

2020-10-21

  1. An interesting question to track over the years in the autonomous self driving cars is who is liable. Tesla has several features in it’s autopilot: lane-keep, navigate on autopilot (highway autonomy), smart summon, active safety, pedestrian aeb and full self-driving (only available on development builds). In the cases of navigate and smart summon – who is responsible for a “fender-bender”? This article answers that: https://www.autoblog.com/2019/10/05/tesla-smart-summon-legal-liability/

2020-10-20

  1. Transformers replacing CNNs for image recognition
  2. Learning with tiny amounts of data with LOS

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