ADR Awareness Centre

DataRobot delivers AI that maximizes impact and minimizes business risk. Our AI applications and platform integrate into core business processes so teams can develop, deliver, and govern AI at scale.

This document is the first version of the Strategic Research and Innovation Roadmap of the TAILOR project, focussed on Trustworthy Artificial Intelligence through Learning, Optimization and Reasoning.

C3 Generative AI uses agents to retrieve data, analyze information, surface insights, and orchestrate workflows to drive business value.

Heroku is your gateway to building, deploying, and scaling AI-powered applications without the operational complexity. As an AI PaaS, Heroku gives developers the infrastructure, tools, and managed services needed to bring AI apps to life faster.

With Deploy.AI's advanced RAG framework embedded throughout your workflows, you can customize how AI finds and uses your data—ensuring agents always have the right context for accurate, relevant responses.

Recognizing human activity from IoT events is essential for automatic light scene setting. A challenge with IoT systems is the diversity among customers.

This talk will explore the cutting-edge advancements in EdgeAI for biosignal analysis, focusing on innovative algorithms such as Spiking Neural Networks (SNNs), Transformers, and Autoencoders.

This presentation highlights the critical elements defining edge AI solutions’ performance and effectiveness.

In today’s fast-evolving technological landscape, edge AI stands at the forefront of innovation, enabling data processing at the edge, closer to the source of information.

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

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, 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