Inside Artificialis - #3
Mar 31, 2022 7:07 am
Hey, . Welcome to the monthly version of the Artificialis Newsletter!
A summary of what happened during the month, the best blogs of our Medium publication, latest news of our Discord server events, and recent news in the world of Artificial Intelligence and Machine Learning!
So seat back, take a cup of coffee, let's go over what happened this month.
First of all, a list of this month most viewed blog articles:
- The Reason Why It's Difficult to Get a Job in Data Science, Alessandro Lamberti
- Satellite Image Classification With Deep Learning, Alessandro Lamberti
- Real-Time Face Detection with Dual Shot Face Detector (DSFD), Tan Pengshi Alvin
- How to Learn Data Science - The Agile Way, Alessandro Lamberti
Artificialis Hub: if you don't have a portfolio, a personal website, if you don't want to pay for hosting, share your projects through us. Artificialis Hub is a place where you can set up a nice presentation for your projects, via blog posts.
To participate, ask in the Discord server to be added as a writer, we'll explain everything else!
MarchOS is officially over! And the two that participated the most, and made the most points are Maximilian and Iva! They'll shortly receive their prize.
Stay tuned for the next events!
A little bit from me:
I'm building Hydra AI and looking to launch it as a product, as I'm building the infrastructure to make it scale properly, I published a small MVP on RapidAPI, feel free to test it out or give any feedback!
AI in the news
Andrew Ng predicts the next 10 years in AI
The only way out of this dilemma is to build tools that empower customers to build their own models, engineer the data and express their domain knowledge. Ng and Landing AI do that through Landing Lens, enabling domain experts to express their knowledge withdata labeling. In the early days of deep...
Nvidia reveals H100 GPU for AI and teases ‘world’s fastest AI supercomputer’
Nvidia has announced a slew of AI-focused enterprise products at its annual GTC conference. They include details of its new silicon architecture, Hopper; the first datacenter GPU built using that architecture, the H100; a new Grace CPU “superchip”; and vague plans to build what the company claims will be the world’s fastest AI supercomputer, named Eos.
Meta’s Yann LeCun on his vision for human-level AI
What is the next step toward bridging the gap between natural and artificial intelligence? Scientists and researchers are divided on the answer. Yann LeCun, Chief AI Scientist at Meta and the recipient of the 2018 Turing Award, is betting on self-supervised learning, machine learning models that can be trained without the need for human-labeled examples.
Ukraine has started using Clearview AI’s facial recognition during war
Ukraine's defense ministry on Saturday began using Clearview AI’s facial recognition technology, the company's chief executive told Reuters, after the U.S. startup offered to uncover Russian assailants, combat misinformation and identify the dead.
Predicting the past with Ithaca
In line with DeepMind’s mission of solving intelligence to advance science and humanity, we collaborated with the Department of Humanities of Ca' Foscari University of Venice, the Classics Faculty of the University of Oxford, and the Department of Informatics of the Athens University of Economics...
'Till next month, you can find everyone here:
Have a fantastic month, !
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