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Artificial Intelligence, AI ORBITAL

At ARQUIMEA Research Center we believe that Artificial Intelligence (AI) is one of the main drivers of transformation in contemporary society. We apply AI in an attempt to provide answers to the major challenges we face in fields as diverse as health, entertainment, mobility, advertising and finance. Our main lines of research within Orbital IA are:

Deep learning approach in AI for neural radiance field (NeRF)

AI for scanning and modeling of 3D scenes and objects

We investigate how a deep learning approach in AI can help streamline and automate the scanning and modeling of 3D scenes and objects. This new 3D representation paradigm and format will revolutionize audiovisual production, from visual effects (VFX) and virtual production (ICVFX) to extended reality (XR) experiences and applications.

  • Objective: to obtain a new 3D model format that is much lighter, more efficient and photorealistic than conventional point—cloud, mesh or voxel—based models, by means of the so-called “neural radiance fields” or NeRF.

geometric deep learning and graph neural networks

A new approach to reduce development times of new drugs

We investigate how geometric deep learning and graph neural networks can help accelerate the development of new drugs, taking into account the geometric information of molecules and not only their physicochemical and quantum description. This new approach to the discovery of drugs promises to reduce development times of new drugs from decades to months, focusing on neurodegenerative diseases such as ALS, multiple sclerosis, Parkinson’s disease or Alzheimer’s disease.

  • Objective: to replace the vast majority of tests currently performed in the laboratory with computational simulations, from the prediction of drug-protein affinity to the synthesis and design of new molecules.

deep learning-based computer vision methods

Real-time detection system of sperm whales

We investigate how deep learning-based computer vision methods can aid in the detection of sperm whale blows, for the early detection of the presence of these cetaceans on the surface. Maritime traffic represents a real threat to these key players in marine biodiversity, as traffic is becoming denser and ships faster.

  • Objective: to achieve a real-time detection system of sperm whales—the most endangered species in the Canary Islands—on the surface, to avoid collision with fast ferries between islands, through thermal imaging.
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