Rethinking AI: Why Edge Intelligence must go beyond traditional ML
AI has been glorified as the future of automation, often portrayed as the ultimate solution for efficiency, decision-making, and innovation across industries. It... Read more.
Beyond the Hype: How Real-Time Edge Intelligence will surpass Generative AI in 2025
Generative AI (software capable of producing new content such as text, images, music or animations) has captured the public’s imagination. Many websites offer... Read more.
Maximizing IoT sensor performance: Getting the most out of your sensor with DSP and AI
In an era dominated by IoT applications, sensors are everywhere—embedded in our homes, vehicles, industries, and even our bodies. They generate an immense amount... Read more.
An AI/ML model is not an algorithm
In modern computing, there are key concepts that define how machines process information and solve problems: Large Language Models (LLMs), algorithms, and computer... Read more.
Deploying Real-Time Edge Intelligence solutions with Arm processor technology
In the rapidly evolving landscape of digital transformation, organizations are increasingly leveraging Real-Time Edge Intelligence (RTEI) solutions to enhance operational... Read more.
From IoT to AIoT: is it true that AI doesn’t have any common sense?
Over the last few years, there has been tremendous interest in the possibility of replacing humans at the workplace with AI. One obvious advantage is AI’s... Read more.
AI, ML and AIoT: a unified view of concepts, toolchains and Arm processor technology for IoT developers
AI (Artificial Intelligence) has its roots with the famous mathematician Alan Turing, who was the first known person to conduct substantial research into the field... Read more.
Understanding sinusoidal amplitude estimates in IoT fullwave rectification applications
Many IoT applications use a sinewave for estimating the amplitude of an entity of interest – some examples include: In a previous article, we discussed how differentiation... Read more.
Design of AIoT algorithms with the ASN Filter Designer and the Arm SDS Framework and their deployment to STM32 microcontrollers
AIoT is an exciting new area that combines AI concepts (i.e. ML) with IoT in order to produce state-of-the-art smart embedded solutions. This augmentation of technologies... Read more.
Exporting IIR/FIR digital filters to C# .NET applications
Over the decades Microsoft has produced various programming languages (e.g. C#, F#, Visual Basic) and flavours of their .NET paradigm, such as the very popular 4.x... Read more.