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Predicting Reading Level of Texts – A Kaggle NLP Competition
Introduction: One of the main fields of AI is Natural Language Processing and its applications in the real world. Here on Amalgam.ai we are building different models to solve some of the problems ...
João Paulo Martins
Data Scientist XNV
Chinese Lab Build the World Largest Model and Challenges Google… and the western as a whole.
The Beijing Academy of Artificial Intelligence (BAAI), AKA OpenAI of China, recently launched the latest version of Wudao, a pre-trained deep learning model that is called “the world largest ...
João Paulo Martins
Data Scientist XNV
VGGNets are back
If you have studied the deep learning timeline history, you may know that the big moment was in 2012 when Alex Krizhevsky presented a deep convolutional architecture able to improve the ...
Igor Muniz
Director of Artificial Intelligence
Potatoes Cluster: Training a Deep Learning Model Using a 100 Potatoes
Have you ever heard about battery potatoes? Did you know that it is also possible to process information using potatoes? In this post we are going to show you how it’s possible to create a ...
Igor Muniz
Director of Artificial Intelligence
AI and Deep Learning to a Full-Size Camera
Photography is an industry hard to disrupt these days. With phones that are ever more powerful, carrying multiple lenses, and connected to our multitude of apps, it has become increasingly hard ...
Adriano Marques
CEO at XNV
Distributed learning in an on-premise cluster – A Kaggle Reinforcement Learning case
Have you tried any distributed learning algorithms? If you are just starting out in this area, I have my doubts, but if you have been on this path for a few years, you might have faced one of ...
Igor Muniz
Director of Artificial Intelligence
Machine Learning Reproducibility: A Kaggle Competition Use-Case
Even though Reproducibility in Machine Learning is a theme that people hear about now and then, we still see that people are practicing it only to a certain degree. Even between Kaggle ...
Multi-task learning: Solving different computer vision problems with a single model
In the last few years, significant improvements in computer vision were made, making it possible to obtain important information from images. Some of the challenges for a better understanding of ...
Igor Muniz
Director of Artificial Intelligence
Deep Learning and the fear of frauds
Soon we might live in a world where one can never be sure that video and voice recording is real, no matter how realistic it looks and sounds. Deep learning methods are used with artificial ...
Adriano Marques
CEO at XNV
A few potential uses (and misuses) for GPT-3
GPT-3 is a 175 billion parameter autoregressive language model by OpenAI released in May 2020. It is a deep learning system that takes input in the form of human readable language and produces ...
Adriano Marques
CEO at XNV
Calculating material stress using Deep Learning
If you are an engineer or take some classes of its subjects in college, you know resistances of material can give you a huge headache!Determining the stress a material is under, for example, ...
Igor Muniz
Director of Artificial Intelligence
Calculating material stress using Deep Learning
If you are an engineer or take some classes of its subjects in college, you know resistances of material can give you a huge headache!Determining the stress a material is under, for example, ...
Igor Muniz
Director of Artificial Intelligence
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