Minsky™ at the Edge

What is Edge-Ai?

Edge Ai means processing data collected/created on a device at the edge of a network using artificial intelligence algorithms where all the data is analyzed at the source of data collection without using Cloud servers.. ‘Edge’ means the device is at the edge of a network and ‘Ai’ means the data is processed using artificial intelligence. Edge Ai is defined by device location and how data is processed there.

How does Edge Ai work in practice?

As we have seen, Edge Ai relies on the devices’ own hardware for processing data and processes related to Machine Learning and Deep Learning. But how does this work in practice? A good example could be virtual assistants, such as Alexa or Google for example. They learn from the user’s words and phrases and can store them directly on the device. Thus, in addition to not necessarily depending on the internet connection to perform all functions, IoT devices achieve a much longer response time for the user. Of course, this is just an example. Later, we will see more possible applications in the future. The fact is that we are still witnessing the advances that this type of application can bring to people’s daily lives and industries in general.

Benefits of Edge Ai:

A technology like Edge Ai can bring several benefits, especially for the industry, which relies more and more on IoT devices. Some of the benefits include:

Reduced latency to improve the user experience

Integration between wearable technologies, such as bracelets

Reduction of the necessary bandwidth and, consequently, of the costs of internet services

Greater security and privacy of data, since the processing is done locally and not in the cloud.

Need for Edge-Ai:

Facial recognition, traffic updates on smartphones, autonomous vehicles, and smart devices. The list of devices that today have computing solutions at the edge keeps growing with the need for data processing on the devices and the increasing use of Artificial Intelligence. Shortly, we will see more of Edge Ai meeting the following needs:

Improvement in autonomous vehicles, which will start to identify images much more quickly for decision making;

Intelligence for security cameras, detecting suspicious activity in real-time;

Reduce costs and improve IoT security in industries;

Use in the medical field for emergency care and surgeries

How Minsky™ can make an Impact at the Edge…

Edge Ai relies on the devices’ own hardware for processing data and processes related to Machine Learning and Deep Learning. But how does this work in practice? A good example could be virtual assistants, such as Alexa or Google for example. They learn from the user’s words and phrases and can store them directly on the device. Thus, in addition to not necessarily depending on the internet connection to perform all functions, IoT devices achieve a much longer response time for the user.

Minsky™ can be used at the Edge in a wide range of possible applications where data acquisition is accomplished using IoT sensors and the Test results fed to Minsky™ for Data Analytics/Inferences.

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