'What Does the Future of Machine Learning Look Like?' by ELEKSSoftware machinelearning aiandml
continue to incorporate changes into businesses’ core processes and are becoming more prevalent in our daily lives. Here are our predictions for the development of machine learning in 2022 and beyond.Quantum computing is one advancement that has the potential to boost machine learning capabilities. Quantum computing allows the performance of simultaneous multi-state operations, enabling faster data processing.
So far, there is no commercially ready quantum computer available. However, a handful of big tech companies are investing in technology, and the rise of quantum machine learning is not that far off.Automated machine learning or AutoML is automating the process of applying machine learning algorithms to complete real-life tasks. AutoML simplifies the process so that a person or business can apply complex machine learning models and techniques without being an expert in machine learning.
Applying machine learning tools in manufacturing, you can facilitate various processes and operations, including monitoring equipment performance and condition, predicting product quality and forecasting energy consumption. With the ongoing advancements in the field of machine learning, we can expect more robots in manufacturing premises in the near future.
Deep learning, a class of machine learning algorithms, can help improve perception and navigation in autonomous vehicle manufacturing, including path planning, scene classification and obstacle and pedestrian detection.
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