Patrick Mannion

Patrick Mannion's picture
User Name: 
Patrick Mannion
About us: 
Patrick Mannion is an independent writer and content consultant who has been working in, studying, and writing about engineering and technology for over 25 years.
First Name: 
Patrick
Last Name: 
Mannion
Company Name: 
The Channel Company
Company URL: 
iotsolutionprovider.com
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From this author

The ultimate solution that needs to be provided for IoT is security, and Blockchain might be the answer. The lack of understanding of how to use and apply Blockchain is the opportunity. IoT solution providers need to get immersed in Blockchain to develop the next generation of inherently secure IoT devices.
At this week’s CES 2018, USound is showcasing its MEMS-based micro-speakers. These breakthrough speakers give IoT solution providers a new way of generating and packaging audio.
Making IoT devices easier to use, and more useful, is critical if they are to be easily integrated into everyday solutions. A new ultrasonic sensor from Chirp Microsystems that detects gestures, range, proximity, and motion opens new avenues of exploration for IoT solution providers.
To emulate the human visual cortex for more useful perception, AEye has combined solid-state LiDAR with low-light cameras and artificial intelligence.
To enable accurate heart monitoring in wearables, Silicon Labs combined ECG and PPG in a single module architected from the ground up for low power for all-day usage.
The Intel Nervana Neural Network Processor (NNP) promises to improve processing efficiency for artificial intelligence (AI) using an architecture focused on the data type, parallelism, high-speed interconnects and Flexpoint, but data ingestion is an issue for high-end, critical applications of AI.
The arrival of embedded vision signifies a new era of machine vision that connects customers’ presence, gestures and identity to retailers’ databases and digital signage to optimize messaging and sales. How will we use this?
IoT has opened the door to rapid innovation but wireless/RF devices come with their own set of test problems that can slow down a design if established practices aren’t coupled with new test technologies.
A combination of context awareness, machine learning and an optimized processing architecture makes advanced, low-latency voice analysis, processing and response possible on edge devices.
A new 17-qubit quantum computing chip foretells increased emphasis on new architectures to solve the data-crunching problems that arise for IoT and advanced research.

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