3 Emerging AI technologies for 2021 and beyond


3 Emerging AI technologies for 2021 and beyond

Artificial Intelligence (AI) is among the most in-demand tech skills of 2020. With the broad applications of AI such as Machine Learning, Neural Network, and Deep Learning, there are more career options than ever for those interesting in building a career in AI. Here are the promising AI technologies for tomorrow. 

1. Generative AI 

The recent advances in AI have created a demand for companies developing algorithms and tools to generate artificial 3D and 2D images. 

It can also provide better customer service, facilitate and speed up check-ins. Generative AI has vast use cases in medical tech. 

2. Federated Learning 

Federated learning is a technique that allows users to reap the benefits of shared models trained from rich data. 

This process involves setting up servers at points where models are trained on data using a cloud computing platform. The same method is used to train and improve Siri's voice recognition capabilities. 

3. Neural Network Compression 

AI has made rapid progress in analysing big data by leveraging deep neural network (DNN). The key disadvantage of any neural network is that it is computationally and memory intensive. 

A neural network contains more weights, representing higher precision than required. NVIDIA has developed a similar type of video compression technology that replaces traditional video codec with a neural network to reduce video bandwidth.

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