Aligning LLMs with human preferences with eye-tracking rewards

To better understand the potential of cognitive data in improving machine learning models, specifically Large Language Models (LLMs), we propose GazeReward, an innovative framework for aligning LLMs with human preferences by incorporating eye-tracking (ET) data into reward modeling. LLMs like GPT-4 [1], Llama 3 [2], and others have revolutionized Natural Language Processing (NLP), excelling in …

Public Outreach Day in TID in collaboration with CTTC/TelecoRenta training school participants

The Centre Tecnològic de Telecomunicacions de Catalunya (CTTC) organized an international training school  in collaboration with Teleco Renta for early-stage researchers, including PhD students and postdocs, to inform them about the latest advances in artificial intelligence and machine learning, and their interplay with telecommunication systems. On May 16, the scientific research group of Telefónica Innovación …

The Future of Brain-Computer Interfacing for Information Visualization

Conventionally, control of computing devices has been done through manual interaction, mostly in the form of using a  mouse and keyboard. As technology evolves we observe additional ways of interacting with the machine, i.e. motion sensors, speech recognition, eye tracking etc, enhancing the capabilities and experience of the user. The next step to this evolution …

Unlocking the Synergy: The Interplay of AI, Neuroscience, and Psychology

Recent advancements in Artificial Intelligence (AI), particularly in Natural Language Processing (NLP) and Computer Vision (CV), have brought us closer to emulating and even surpassing human capabilities. The development of transformer neural architectures like chatGPT and latent diffusion models like MidJourney has had a profound impact on the field. The rapid progress of AI has …

Adaptive automation systems based on brain-computer interfaces

Automation is at the heart of most technologies we use in our daily life, with applications ranging from automotive (e.g., manual vs. automatic transmission system and autopilots) and household appliances (e.g., kettle, washing machine) to industrial machinery and healthcare systems (e.g., patient monitoring, autonomous surgery). Reducing the need for human intervention in automated processes brings …