Whitepapers

Deploying NVIDIA TAO Models on Alif Hardware With Edge Impulse

Introduction The NVIDIA TAO toolkit enables embedded engineers to use established and trained Machine Learning (ML) models and modify them slightly to better fit a particular application. This ability allows users to leverage a large library of model architectures for image classification, object detection, and segmentation as well as various task-based models without creating complex

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Dive into the Alif E1C MCU: Enhanced AL/ML capability in a small package

Introduction Alif Semiconductor has released their latest high-capability, small form factor, embedded microcontroller unit (MCU). The E1C, part of the Ensemble® product line, is designed to leverage artificial intelligence (AI) and machine learning (ML) processes, making it suitable for performing advanced adaptive control decisions, yet small and energy-efficient enough to serve the wearable electronics market. 

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Alif Semiconductor’s Conductor Tool 

The Conductor Tool makes getting started with these Alif processors and microcontrollers easy, even for complicated configurations. New designers have a leg up thanks to this tool, and returning users know their configuration setup will be fast and pain free. The main purpose of the tool is to facilitate users in their application work with Alif Semiconductor families of processors and microcontrollers. The Conductor tool manages software configurations of device resources, pins, clocks, memories, DMA, IRQs, and various other additional settings.

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Diving Into Alif Semiconductor’s Secure System Architecture and Secure Boot Process

Embedded system designs are often faced with the challenge of balancing many contradictory requirements: high performance and low power consumption, device versatility and low latency, as well as security and application flexibility. Alif Semiconductor addresses these design constraints with dynamic and highly scalable microcontrollers (MCUs) that actively optimize all aspects of its core function including processing, power management, security, memory, hardware acceleration, connectivity, and software reuse.

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