
Learning Agents in AI
Learning agents are a shining example of scientific advancement in the field of artificial intelligence.


Reasoning Mechanisms in AI
Artificial Intelligence (AI) systems are designed to mimic human intelligence and decision-making processes, and reasoning is a critical component of these capabilities.


Types of Reasoning in Artificial Intelligence
In today's tech-driven world, machines are being designed to mimic human intelligence and actions.

At-the-edge AI acceleration on FPGAs, from CNNs to SNNs
This paper outlines the initial FPGA-centric endeavors within the EdgeAI project, targeting scenarios where extremely constrained power-energy parameters intersect with the demand for high performance and accuracy in executing Artificial Intellige

Comparing implementations of a Small CNN on Commodity Hardware
Presentation detailing our benchmarking of several low cost boards for AI inference on the Edge.
The NN is a small NN that performs 1 channel images classification over 58 categories targeting an industrial application.

Edge AI trends and engineering principles applied to micro, meta, and end-to-end AI system verification, validation, and testing
Edge AI, which refers to the deployment of edge computing and artificial intelligence (AI) models and algorithms on edge devices like IoT devices and embedded systems, is rapidly evolving with several emerging trends and engineering principles app