Inside Artificialis - #7
Jul 30, 2022 9:15 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:
- Hydra AI - Accurately extract text from any image, Alessandro Lamberti
- Dropout Regularization using Pytorch in Python, Alessandro Lamberti
- Getting started with Matplotlib, ASHWIN.S
A little bit from me:
As you might know, I'm building Hydra AI, a multi-endpoint Machine Learning infrastructure for image analysis, facial attributes analysis, multi-label object detection and NLP tasks.
Check it out on RapidAPI.
If you want to try it out, you'll need a valid payment system on your account, but you won't be charged unless you go over the free tier.
AI in the world
AlphaFold reveals the structure of the protein universe
Today, in partnership with EMBL’s European Bioinformatics Institute (EMBL-EBI), we’re now releasing predicted structures for nearly all catalogued proteins known to science, which will expand the AlphaFold DB by over 200x - from nearly 1 million structures to over 200 million structures - ...
Making neural nets uncool again
We are releasing: fastai v2: A complete rewrite of fastai which is faster, easier, and more flexible, implementing new approaches to deep learning framework design, as discussed in the peer ...
200 languages within a single AI model: A breakthrough in high-quality machine translation
Meta AI has built a single AI model, NLLB-200, that is the first to translate across 200 different languages with state-of-the-art quality that has been validated through extensive evaluations for each of them.
Applications of Meta’s OPT-175B: Protein design, quantum physics, translation, and more
Since we announced OPT-175B in May, more than 4,500 individuals and institutions around the world have requested access to this groundbreaking large language model for AI research. OPT-175B was the first such model to be made freely available to the research community, providing an important new resource to accelerate work in this area of AI and ultimately help create safer, more useful, and more robust language generation systems.
Reducing Bias and Improving Safety in DALL·E 2
Today, we are implementing a new technique so that DALL·E generates images of people that more accurately reflect the diversity of the world’s population. This technique is applied at the system level when DALL·E is given a prompt describing a person that does not specify race or gender, like “firefighter.”
'Till next month, you can find everyone here:
Have a fantastic month, !
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