Top news of the week: 21.02.2020.
#AI #hiring #innovativesolutions #creativet #google #technology #culturalchange #aiethics #innovativethinking #jobs
Applied Use Cases
RT @nicoleyershon: X – formerly Google X – aims to pursue technological breakthroughs by taking crazy ideas seriously. When will its bets pay off? - #technology #google #innovation #innovativethinking #innovativesolutions #culturalchange #creativet…https://t.co/tb2riVJUmZ https://t.co/x8pw30asr1
OpenInside X, Google's top-secret moonshot factory
X – formerly Google X – aims to pursue technological breakthroughs by taking crazy ideas seriously. When will its bets pay off?
RT @j2bryson: @cortnie_cdo @sxsw @DorotheaBaur @johnchavens @MiaD @ruchowdh These have been on my #aiethics Webpage for about 20 years (see bullet 2) but I don't think anyone's done them:
"AI: Art not Soul" or "Robot's Won't Rule"
https://t.co/xFWe5e0OP6
OpenAI Ethics: Artificial Intelligence, Robots, and Society
Recently we decided it was worth rewriting and publishing the paper properly, so a radically updated version Just an Artifact: Why Machines are Perceived as Moral Agents, appeared …
RT @amaarora: 1/ After weeks of learning, I am proud to share - "The Annotated GPT-2" ladies and gentleman!
In this post, I re-implement OpenAI's GPT-2 in PyTorch using @huggingface source code and try to explain all the magic that goes on inside the model.
https://t.co/HAzNPVvVbp https://t.co/WaGiCvym6Q
OpenThe Annotated GPT-2
Introduction Prerequisites Language Models are Unsupervised Multitask Learners Abstract Model Architecture (GPT-2) Model Specifications (GPT) Imports Transformer Decoder inside GPT-2 CONV1D ...
🧠 I just shipped the third edition of Let Me Level 5 With You. Learn more about how Deep Learning is changing the game for prediction, just like it did for perception.
It also includes the infamous lady-in-a–wheelchair-chasing-a-duck-with-a-broom video.
https://t.co/zczsefqyeV https://t.co/lvpCj6IhOM
OpenThe Next Leap in Self-Driving: Prediction
Why prediction has overtaken perception as the biggest challenge in the field
RT @amaarora: @huggingface Special thanks to @math_rachel and @jeremyphoward for the brilliant NLP course that really helped me in my journey to start learning about Transformers and NLP in general.
https://t.co/VJ7LyzPIjR
Opennew fast.ai course: A Code-First Introduction to Natural Language Processing
The course teaches a blend of traditional NLP topics (including regex, SVD, naive bayes, tokenization) and recent neural network approaches (including RNNs, seq2seq, attention, …
✨Data Genesis Update✨ @AINowInstitute is now hiring a Critical Designer! If you like using media and design to investigate how training data is made, and how it affects machine learning systems in the world - this is your gig👇https://t.co/hR8p2w5zMb
Open
Wondering how recommendation systems are implemented in the real world? Parul Pandey provides a beginner-friendly guide over the process of designing and building a recommendation system. #AI #tech #ML
https://t.co/5AEZ6gWZC6
OpenRecommendation Systems in the Real World
Too few choices are bad but too many choices can lead to paralysis Have you heard about the famous Jam Experiment? In 2000, psychologists Sheena Iyengar and Mark Lepper from Columbia and ...
Recommendation systems are almost everywhere - from Amazon to Netflix, from Facebook to Linkedin - but how do they work? Parul Pandey describes how recommendation systems assist in providing a personalized shopping experience for every customer. #AI #RL
https://t.co/1eO1LNUPhl
OpenThe Remarkable World of Recommender Systems
A lot of times, people don’t know what they want until you show it to them: Steve Jobs Here is an excerpt from the book The Long Tail by Chris Anderson: “In 1988, a British mountain climber ...