2022 tech themes: A look ahead
Having recently reviewed the past year, our intrepid engineer now tackles forecasting the hot topics of the year ahead.
How AIoT enables smart traffic solutions
Major advancements in AI and IoT could be the key to eliminating traffic congestion once and for all.
STMicroelectronics enhances tool for ML applications development
NanoEdge AI Studio Version 3 is the first major upgrade of the software tool for machine-learning applications that ST acquired…
NXP-based MicroSys SoM platforms integrate Hailo-8
The miriac AIP-S32G274A embedded platform provides customers with a highly efficient way to implement AI into their connected edge appliances.
Edge AI accelerators are just sand without future-ready software
Unlike GPUs, which have established programming models and software toolchains, AI processors are confronted with lack in software support.
MCU’s machine learning quest at the edge aided by third parties
Renesas teaming up with MicroAI to train AI models directly on the MCU is an acknowledgement of the role of…
Why data preparation is crucial in AI workflows
Since data flows throughout the entire AI workflow, initial data preparation step is crucial as it ensures the most useful…
Training an algorithm to detect and prevent early blindness
This article provides a walkthrough of the steps needed to quickly train an algorithm to detect diabetic retinopathy and prevent…
Renesas and Syntiant develop voice-controlled multimodal AI solution
The new offering enables low-power voice-controlled operation of embedded vision AI systems in IoT and edge applications.
Manage control plane security in real-time using network AI
The implementation of AI techniques by the trusted control/compute unit (TCU) can greatly reduce the frequency and severity of attacks.