Displaying 52 resources
Software resources Software resources

DataRobot Enterprise AI Suite

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.

Category
Data and AI Platforms, AI platform for deployment
Target audience
ADR Experts and Associations, Private Sector, Researchers and Academic
Source
Adra-e
Article/Books/eBooks Article/Books/eBooks

Human-computer intra-action: a relational approach to digital media and technologies

The growing pervasiveness of digital technologies has exposed the entanglements of Human-Computer Interaction (HCI) with its surrounding context, from the immediate vicinity of interfaces to global issues.

Category
Multi-modal interaction, Technology methodologies and landscape
Target audience
ADR Experts and Associations, Private Sector, Researchers and Academic
Source
Adra-e
Tutorial/How To/Guides Tutorial/How To/Guides

Preparing action interaction data for training

If you use the Next-Best-Action custom recipe, Amazon Personalize uses action interactions data to identify user interest and predict the actions they will most likely take.

Category
Multi-modal interaction
Target audience
ADR Experts and Associations, Private Sector, Researchers and Academic
Source
Adra-e
Software resources Software resources

C3 Generative AI

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

Category
AI platform for deployment
Target audience
ADR Experts and Associations, Private Sector
Source
Adra-e
Software resources Software resources

The AI PaaS For Deploying, Managing, and Scaling Apps

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.

Category
AI platform for deployment
Target audience
ADR Experts and Associations, Private Sector
Source
Adra-e
Software resources Software resources

Deploy.AI

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.

Category
AI platform for deployment
Target audience
ADR Experts and Associations, Private Sector
Source
Adra-e
Article/Books/eBooks Article/Books/eBooks

Human activity recognition in time series in PIR sensor networks with reinforcement learning

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

Category
Edge-based AI, Architecture of sensing and perception systems
Target audience
Researchers and Academic
Source
Adra-e
Article/Books/eBooks Article/Books/eBooks

EdgeAI: Leveraging SNNs, Transformers, and Autoencoders for Near-Sensors Intelligence

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.

Category
Edge-based AI
Target audience
Researchers and Academic
Source
Adra-e
Article/Books/eBooks Article/Books/eBooks

Functional and Non-Functional Requirements in Edge Ai Systems

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

Category
Edge-based AI
Target audience
Researchers and Academic
Source
Adra-e
Article/Books/eBooks Article/Books/eBooks

Pioneering the Future of Edge AI

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.

Category
Edge-based AI
Target audience
Researchers and Academic
Source
Adra-e
Article/Books/eBooks Article/Books/eBooks

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

Category
Edge-based AI
Target audience
ADR Experts and Associations, Individual Citizens/Members of the Society, Private Sector, Researchers and Academic
Source
Adra-e
Article/Books/eBooks Article/Books/eBooks

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.

Category
Edge-based AI
Target audience
ADR Experts and Associations, Individual Citizens/Members of the Society, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e