Artificialis weekly - Issue #8
Sep 30, 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 starting our own Podcast, YOLO: You Only Listen Once, hosted by our lovely Maximilian, every Sunday. make sure to come and say hi!
Make also sure to join us tomorrow for the Friday Trivia Night, win a unique role, chance to win nitro, and more!
Here's some of the latest blogs:
- Extracting and Analyzing Colors from Images with Python, by Alessandro
- Learn Data Science For Free, by Alessandro
Here's the list of the best papers I shared this week!
- Salesforce unveils Merlion, the most advanced open source library for Time Series analysis
- Microsoft unveils trOCR, the neural evolution of OCR via Transformers.
- NVIDIA AI unveils the most advanced framework to estimate physically correct human motions
- Facebook unveils a Transformer-based AI able to predict the future
Recent news in the world of Artificial Intelligence
How the U.S. Army Is Turning Robots Into Team Players
In chaotic, unfamiliar, or poorly defined settings, reliance on rules makes robots notoriously bad at dealing with anything that could not be precisely predicted and planned for in advance
UK publishes 10-year plan to become ‘A.I. superpower’, seeking to rival U.S. and China
The so-called “National Artificial Intelligence Strategy” is designed to boost the use of AI among the nation’s businesses, attract international investment into British AI companies and develop the next generation of homegrown tech talent.
Amazon’s Astro robot is straight out of The Jetsons
Amazon is rolling out (literally) a robot that can help monitor your home. Powered by Amazon Alexa and a bunch of artificial intelligence (AI) technology while patrolling about on a set of wheels, the Astro robot can handle numerous tasks, from providing a view of inside the home when you’re out to delivering a message to Mom.
How DeepMind is reinventing the robot
Even for Google, the challenges are daunting. Some are hard but straightforward: For most robotic applications, it's difficult to gather the huge data sets that have driven progress in other areas of AI. But some problems are more profound, and relate to longstanding conundrums in AI. Problems like, how do you learn a new task without forgetting the old one? And how do you create an AI that can apply the skills it learns for a new task to the tasks it has mastered before?
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I really do hope you enjoyed this week's issue. Let me know if there's something you'd like to be featured in the newsletter, or if there is any feedback! You can reply right to this email or ping me in our Discord server!
See you next week, have a great day!
Alessandro
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