FocusAI
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Edition #55 - May 21st 2021
Welcome in this new edition. This week, we talk about:
Bagging Tutorial,
Smartphone Decimeter Challenge
Google I/O
TPU's next generation
…
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🌳 Bagging Tutorial — Classify Higgs Boson Particles With AI
In this article,the explained how ensemble techniques work in plain English. Hands-on Python code illustrated a practical implementation of bagging. A classification problem in physics was examined with real-world data.
🏥 This system helps robots better navigate emergency rooms
Computer scientists have developed a more accurate navigation system that will allow robots to better negotiate busy clinical environments in general and emergency departments more specifically.
🚗 A Waymo AV Get Freaked Out By Traffic Cones
YouTuber JJRicks Studios documents his rides in Waymo's robotaxi fleet in Phoenix. In a recent video, a vehicle got confused when it detected traffic cones and was unable to plot a route around them, blocking traffic.
🖥️ IBM wants to teach machines to program
IBM has built and released CodeNet, a dataset of 14 million code submissions for 4,000 distinct programming challenges. CodeNet is designed to help people build AI systems that can generate and analyze code
🌍 Facebook builds a dataset so computers can read the world
Facebook has just released 'TextOCR', a dataset of (almost) a million high quality word annotations applied to TextVQA images (VQA = Visual Question Answering).
🌡️ Smartphone Decimeter Challenge
Do you wish your navigation app could provide more precise location or lane-level accuracy? In this Kaggle competition, you are tasked with computing location down to decimeter or even centimeter resolution. You'll have access to precise ground truth, raw GPS measurements, and assistance data from nearby GPS stations.
🩺 Google AI-based app that can recognize skin diseases
The diagnosis assist can recognise 288 skin conditions (skin, hair and nail issues)
💾 TPU's next generation
At its I/O developer conference, Google today announced the next generation of its custom Tensor Processing Units (TPU) AI chips, twice as fast as the previous generation.
💬 MUM, successor of BERT
After BERT, Google has presented its 4th NLP model: MUM (Multitask Unified Model) . It's "only" 1000 times more efficient than BERT.
🇫🇷 French Touch
♀️ Un modèle pour lutter contre les féminicides
Eagle-eye a été lancée pour tenter de prévenir les féminicides en République dominicaine. Eagle Eye analyse des données et génére des scénarios prédictifs pour éviter ce type de tragédies.
#AI #Google #IBM #MUM #Kaggle
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Have a good week-end,
Mirai 🐖, 🦖 Verónica 🐕, Jwan 🐱 , Maxime 🙃 from Toulouse, France with 🌸