Archives for deep learning research
Course5 Intelligence To Collaborate With BITS Pilani and Woxsen University For Applied AI Research
Course5 Intelligence To Collaborate With BITS Pilani and Woxsen University For Applied AI Research
Recently, two researchers from the University of Montreal, Yoshua Bengio and Anirudh Goyal proposed new inductive biases that are meant to boost the deep learning performance. This paper focuses mainly on those inductive biases that concern mostly higher-level and sequential conscious processing. To be specific, this research’s main idea is to bridge the gap between…
The post Yoshua Bengio Proposed New Inductive Biases to Augment Deep Learning appeared first on Analytics India Magazine.
ViT breaks an input image of 16x16 to a sequence of patches, just like a series of word embeddings generated by an NLP Transformers. Each patch gets flattened into a single vector in a series of interconnected channels of all pixels in a patch, then projects it to desired input dimension.
The post Hands-on Vision Transformers with PyTorch appeared first on Analytics India Magazine.
In recent years deep learning has proved to be a critical aspect of machine learning with exciting applications to solve real-world problems across different sectors. Starting from creating virtual assistants, visual recognition and language translation to fraud detection, document processing, as well as self-driving cars, deep learning has proved to be immensely beneficial. As a…
The post Top 7 Upcoming Deep Learning Conferences To Watch Out For appeared first on Analytics India Magazine.
Researchers from MIT recently collaborated with the University of Brasilia and Yonsei University to estimate the computational limits of deep learning (DL). They stated, “The computational needs of deep learning scale so rapidly that they will quickly become burdensome again.” The researchers analysed 1,058 research papers from the arXiv pre-print repository and other benchmark references…
The post DL Is Not Computationally Expensive By Accident, But By Design appeared first on Analytics India Magazine.
Security in data science practices has always been one of the crucial concerns among organisations. With the increase of using machine learning and deep learning models, researchers have been trying to make these models secure and robust in every way possible. Adversarial learning helps in improving the performance of machine learning systems. Below here we…
The post Top 12 Papers On Adversarial Learning At CVPR 2020 appeared first on Analytics India Magazine.
Superman can see through walls, but I am not sure whether he can see things that are not in his line of vision – around the corners. But thanks to a new technology developed by a team of researchers from Princeton, Stanford, Southern Methodist, and Rice Universities, we might be able to do so. The…
The post Move Aside Superman, This AI-Based Imaging System Lets You See Hidden Objects Around Corners appeared first on Analytics India Magazine.
The Neural Information Processing Systems (NeurIPS) conference is held every year in the month of December. This year, the 32nd edition was held in Vancouver, Canada. The purpose behind this conference is to foster the exchange of research on neural information processing systems in their biological, technological, mathematical, and theoretical aspects. The conference unveiled the…
The post Outstanding Papers Awarded At NeurIPS 2019 appeared first on Analytics India Magazine.