Numerix-DSP - Artificial Intelligence

Artificial Intelligence

Moving From AI To IntelligentAI To Reduce The Cost Of AI At The Edge

The benefits of Intelligent-AI include:

Reduced Power Consumption
Reduced Cost
Reduced Latency
Higher Security

Sigma Numerix are brining our Signal Processing expertise to bear on many of the challenges of Embedded AI and Edge AI.
If you are looking to speed up your Artificial Intelligence or Machine Learning project developments then please Click Here to find out more about our Consultancy services.

There are many reasons for deploying ultra low cost Machine Learning (ML) solutions, such more cost effective than scheduled Preventive Maintenance that uses MTBF to replace potentially faulty items.
Some of these reasons include:

Predictive Maintenance (PdM)
Replace known faulty item
Condition Based Maintenance (CBM)
Check for anomolies in item operation
Intelligent Maintenance
Prioritize failure analysis
Predict And Monitor Noise Vibration and Harshness (NVH)
Make the environment more human friendly

There are many reasons for deploying ultra low cost Edge-ML solutions, rather than cloud based solutions, including:

Traditional Cloud AI
High Energy Consumption
High Latency
Low Privacy
Low Reliability (e.g. if network drops)
Edge AI
Low Energy Consumption
Low Latency (Real-time)
High Privacy
High Reliability (works even when the network is down, or mains power, with battery backup)
Moore's Law :-)
We can train in the cloud - win-win

Here are some presentations that discuss Sigma Numerix' Machine Learning Capabilities.

	Recording	Slides
TinyML Talk December 2020 Download the code from here
Vibration Monitoring Machine Learning Demonstration Download the code from here
Data Science Festival 2020 - Lunch & Learn "The Frequency Domain And How It Can Be Used To Aid Artificial Intelligence" Q and A Data Science Festival Q&A

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