- Published on March 8, 2021
- In AI Features
Facebook’s New Billion-Parameter Model Might Just Change Computer Vision Forever
- By Shraddha Goled
Just like the human brain, deep learning uses a neural network for object detection, speech recognition, translation, decision-making, and more. However, for deep learning -- a subset of machine learning -- to work optimally, a massive amount of data is required. Reducing the data-dependency of deep learning is one of the top priorities of AI researchers.
Facebook vice president Yann LeCun, considered one of the godfathers of deep learning, presented the blueprint for self-supervised learning at the AAAI conference in 2020. In a recent blog, LeCun wrote: “Practically speaking, it’s impossible to label everything in the world. There are also some tasks for which there’s simply not enough labeled data, such as training translation systems for low-resource languages. If AI systems ca
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Shraddha Goled
I am a technology journalist with AIM. I write stories focused on the AI landscape in India and around the world with a special interest in analysing its long term impact on individuals and societies. Reach out to me at shraddha.goled@analyticsindiamag.com.
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