The ever-growing world of Information and Technology will soon experience new changes as IoT and machine learning is evolving rapidly. Here we have five of the most dominant machine learning trends that is set to change the IoT Market.
Mobile Machine Learning
The highly compressed machine learning chips will be probably the biggest trend that will affect the presence of IoT. These chips with neural network capabilities will not be as powerful as their cloud-based counterparts, still they will be capable of machine learning tasks.
Automated Data Science
The technology will automate tasks such as scribbling data, removing trivial errors, and deleting junk data which are carried out regularly and are also prone to errors. Such as advent, hence will make this process smooth.
Synthetic Data
Researchers who works on IoT and machine learning algorithms might need a certain amount of data to carry out experiments. In such cases, instead of creating their own data, these professionals can use already existing relevant data. Probably knows as the synthetic data, this collection can be immediately linked to a machine learning algorithm to carry out experimentation.
Machine Learning Hardware
Engineers have now developed some new machine learning hardware that can efficiently and quickly crunch numbers located on the cloud. These tools made the process more quick and affordable.
The Machine Learning’s Black Box Limitation
Machine learning algorithms are generally not programmed, but get evolved as experiment takes place to collect and process data to generate useful information. This can be a hurdle for those who try to deploy machine learning in medical devices. Researcher says they are still making efforts in this direction.