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AI Laboratory

Leading the Way in Ethical AI Innovation


At the HP SCDS AI Lab, we are committed to driving ethical innovation in the area of artificial intelligence to help transform businesses and improve lives..

Our Mission

We strive to lead ethical innovation in artificial intelligence, with the goal of not only positively transforming the companies that apply these technologies, but also enriching people's lives.

  • We work tirelessly to develop and promote practices that ensure that the impact of Artificial Intelligence is beneficial and ethical in all areas of our society, thereby prioritizing transparency, fairness and accountability in every step we take in the quest for a more sustainable world.

Our vision

Our goal is to lead the advancement of AI towards 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 drive cutting-edge solutions that drive 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 respectful of privacy, thus promoting a safer and more equitable digital future.

Our purpose

We are dedicated to using the potential of artificial intelligence to address complex challenges in various fields, such as healthcare or environmental sustainability.

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

Services

Development of AI solutions

We design and develop customized artificial intelligence solutions to address specific customer challenges. From recommendation systems and predictive analytics to chatbots and computer vision, our lab uses the latest artificial intelligence 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 and effective solutions.

ARTIFICIAL INTELLIGENCE

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

AI Research

Projects

  • Detection of diabetic retinopathy using deep learning models.
  • Digital twin of pharmaceutical production processes.
  • Infrastructure maintenance using deep learning models.
  • LLM for business processes using RAG and Guardrails techniques.
  • LLM technology evaluation team for Personal Systems.

Research

This is our initiative focused on artificial intelligence-driven projects, where we explore a broad spectrum of innovative applications in diverse fields. From medicine to environmental conservation, manufacturing to education, our projects span a diverse range of challenges and opportunities. Through artificial intelligence, we seek not only to solve complex problems, but also to positively transform the way we interact with the world around us.

  • Use of voice assistants to provide information and alerts on sugar levels.
  • Automatic transcription of sign language at speech level.
  • Browser extension for queries using NLP on the current page.
  • Messaging bot to summarize messages in very active groups.
  • AI-based chatbot to answer questions in a configurable knowledge base.
  • AI-based automatic machine translations.
  • Illustration of comics from text using Deep Learning.
  • Detection of anomalous behavior in HP printers with Deep Learning.
  • Application of VA 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.).
  • Localization of a puzzle piece within a puzzle using VA and ML.
  • Automatic segmentation of images for printing with layer selection and gap filling.
  • AI for filtering and categorizing images from another source (search engine).
  • Execution of ML/DL projects in a shared environment.
  • Optimization of multilayer optical structures using DRL.
  • Hybrid quantum/classical hybrid algorithm to classify cats and dogs.
  • Plot complexity estimation using Deep Learning techniques.
  • Reinforcement learning techniques in Unity for the construction industry.
  • Platform for mobile execution of ML/DL models in private networks.
  • CLPU laser beam steering using ML techniques.
  • Mobile note-taking application with AI-based automatic tagging.
  • Basketball and basketball player tracking for data set 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.
  • 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.
  • Determination of 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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