Today I’ve read a paper about the main challenges when developing brain-machine interfaces. The paper’s source can be found at the bottom of this article. Yesterday I’ve read a white paper written by Elon Musk and describing how its company Neuralink was handling the development of a brain-machine interface. Willing…

Today I’ve read a white paper written by Elon Musk presenting his company Neuralink. The paper’s source can be found at the bottom of this article. Neuralink is a private founded by Elon Musk and eight partners in 2016. …

Today I’ve read the “U-Net” paper which proposes a new network architecture for image segmentation. The paper’s source can be found at the bottom of this article. Image segmentation is the task of discerning particular objects in an image. This could be delimiting a pedestrian from its surroundings for self-driving…

Today I’ve read a paper about the definition of a new baseline and methodology for music sheet recognition. The paper’s source can be found at the bottom of this article. If you play a musical instrument you may have encountered the issue of looking at a music sheet without precisely…

Today I’ve read a paper from 2005 about NLP (Natural Language Processing) without Machine Learning. The paper’s source can be found at the bottom of this article. I had the chance this afternoon to attend a webinar presented by Chris Callison-Burch, an associate professor at the University of Pennsylvania, presenting…

Today I’ve read a paper about adversarial examples on image classification. The paper’s source can be found at the bottom of this article. Neural networks are the kind of models that can supposedly work everywhere. Actually, the universal approximation theorem guarantees that a neural network with at least one hidden…

Today I’ve read a paper about using Deep Learning for audio synthesis (from sound effects to music instruments). The paper’s source can be found at the bottom of this article. As explained in my previous article (https://bit.ly/3qysWQt), content generation is now a big trend in AI with applications ranging from…

Today I’ve read the “GAN” paper from Ian Goodfellow and his colleagues. The paper’s source can be found at the bottom of this article. Generative Adversarial Nets aka GANs have been designed and described for the first time in 2014 in the scientific paper sourced at the bottom of this…

Today I’ve read an article about unsupervised learning for image classification of chest radiograph images. I found this article thanks to the deeplearning.ai “The Batch” newsletter. The paper’s source can be found at the bottom of this article. The recent advances in Deep Learning and the availability of pre-trained models…