Artificialis weekly - Issue #6
Sep 16, 2021 4:01 pm
Hey , I hope you're having a good day so far!
Here's what you might have missed this week.
We're more than 400 souls, it's incredible!
Make sure to join us tomorrow for the Friday Trivia Night, win a unique role, chance to win nitro, and more!
Here's some of our latest blogs:
- 5 Tips For your Data Science Career, by Alessandro
- NLP #3: Randstad - Hackathon, by Max
- Pytorch and Tensorflow, by Som
- The couple living in the flowerpot, non-technical blog by Alessandro
Here's the list of the best papers I shared this week!
- NEAT, NEural ATtention fields for End-to-End Autonomous Driving
- LineTR, a context-aware descriptor for visual localization inspired by NLP
- DeepSIM, a neural generative model via single image
Recent news in the world of Artificial Intelligence
How Valencia crushed Covid with AI
By leveraging algorithms and unorthodox data sources, an MIT researcher has made Valencia a Covid-19 data pioneer
Computer vision and deep learning provide new ways to detect cyber threats
In 2019, a group of cybersecurity researchers wondered if they could treat security threat detection as an image classification problem. Their intuition proved to be well-placed, and they were able to create a machine learning model that could detect malware based on images created from the content of application files. A year later, the same technique was used to develop a machine learning system that detects phishing websites.
Launched in December 2020, the startup uses artificial intelligence to create a digital story map that predicts strategies for intervention, allowing health care providers to identify trends and patients of all ages to track personal progress
How Computationally Complex Is a Single Neuron?
Computational neuroscientists taught an artificial neural network to imitate a biological neuron. The result offers a new way to think about the complexity of single brain cells
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See you next week, have a great day!
Alessandro
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