AI Laboratory

Leading the way in ethical AI innovation


At the HP SCDS AI Laboratory, we are committed to advancing ethical innovation in artificial intelligence to support business transformation and improve lives.

Our mission

We strive to lead ethical innovation in artificial intelligence to positively transform the businesses that apply these technologies and enrich people’s lives.

  • We work tirelessly to develop and promote practices that ensure artificial intelligence has a beneficial and ethical impact across all areas of society. We therefore prioritize transparency, fairness, and accountability in every step we take toward a more sustainable world.

Our vision

Our goal is to lead the advancement of AI toward a more inclusive and sustainable future. We strive to be recognized as a center of excellence in AI, where creativity, collaboration, and innovation converge to deliver cutting-edge solutions that advance business progress and improve people’s quality of life.

  • We want to pioneer the development of technologies that are not only powerful and efficient, but also ethical, transparent, and privacy-respecting—promoting a safer, more equitable digital future.

Our purpose

We are dedicated to harnessing the potential of artificial intelligence (AI) to address complex challenges in diverse areas, such as health care and environmental sustainability.

  • We aim to empower businesses to innovate and adapt in an ever-changing world, while enhancing human experiences and promoting equal opportunities. We are committed to upholding strong ethical principles in every application of AI, ensuring transparency, fairness, and accountability in every step we take.

Services

Development of AI solutions

We design and develop customized artificial intelligence (AI) solutions to address specific client challenges. From recommendation systems and predictive analytics to chatbots and computer vision, our laboratory uses the latest AI technologies and algorithms to create innovative solutions that transform business processes and improve results.

AI research

We are dedicated to continuous research in the field of artificial intelligence, exploring new techniques, algorithms, and applications to stay at the forefront of innovation. Our team collaborates with academic and industry partners to drive the advancement of AI knowledge and translate those advances into practical, effective solutions.

ARTIFICIAL INTELLIGENCE

We keep exploring artificial intelligence, developing new techniques and collaborating with partners to translate advances into innovative solutions.

AI research

Projects

  • Diabetic retinopathy detection using deep learning.
  • Digital twin of pharmaceutical production processes.
  • Infrastructure maintenance using deep learning.
  • LLMs for business processes using RAG and guardrails.
  • Team evaluating LLM technologies for Personal Systems.

Research

This initiative focuses on artificial intelligence (AI)-driven projects, where we explore a broad spectrum of innovative applications across multiple fields. From medicine and environmental conservation to manufacturing and education, our projects span a wide range of challenges and opportunities. Through AI, we aim not only to solve complex problems, but also to positively transform how we interact with the world around us.

  • Voice assistants for sugar-level information and alerts.
  • Automatic transcription of sign language to spoken language.
  • Browser extension for NLP queries on the current page.
  • Messaging bot to summarize messages in highly active groups.
  • AI-based chatbot to answer questions from a configurable knowledge base.
  • AI-based machine translation.
  • Comic illustration from text using deep learning.
  • Detection of anomalous behavior in HP printers using deep learning.
  • Application of computer vision and ML techniques to process 19th-century manuscripts.
  • Identification of ingredients and nutritional information using ML/DL.
  • Generation of 3D models using NeRF for augmented reality visualization.
  • Visualization of water bodies and related data (pollution, plastics, etc.).
  • Locating a puzzle piece within a puzzle using computer vision and ML.
  • Automatic image segmentation for printing, including layer selection and gap filling.
  • AI for filtering and categorizing images from an external source (search engine).
  • Running ML/DL projects in a shared environment.
  • Optimization of multilayer optical structures using DRL.
  • Hybrid quantum/classical algorithm for classifying cats and dogs.
  • Plot complexity estimation using deep learning.
  • Reinforcement learning in Unity for the construction industry.
  • Platform for running ML/DL models on mobile devices in private networks.
  • CLPU laser beam steering using ML techniques.
  • Mobile note-taking application with AI-based automatic tagging.
  • Basketball and player tracking for dataset creation.
  • Basketball play identification based on player and ball positions.
  • Inference of alternative hierarchies in an enterprise based on user interactions.
  • Applying AI to HR data to minimize company turnover.
  • Automatic enrichment of data contained in the standard format used for 3D printing.
  • Prediction of epidemic outbreaks and health risks using AI in social networks.
  • Determining the origin and type of sounds in a physical system using an IoT device and two microphones.
  • AI reimagining of the paintings in the chamber of Doña Sancha (San Isidoro, León, Spain).
  • Application for status and error code support in devices with no or limited display.
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