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PhD Workshop’24
The PhD Workshop’24 of the Doctoral Program in Computer Science from NOVA FCT took place on October 2nd. In this workshop the PhD students had the opportunity to share their research with all NOVA FCT community, and in particular with professors and younger students from the Master Program in Computer Science and Engineering.
Read moreMultimodal Systems collaborates with the Portuguese Navy in Multimodal Dialog AI Systems
NOVA researchers participated in the REPMUS exercise organized by the Portuguese Navy with the participation of NATO. The NOVA LINCS Multimodal Systems team created an AI assistant for the Navy to process complex tasks and critical information. The system was demonstrated to the Portuguese President of the Republic Marcelo Rebelo de Sousa and Admiral Gouveia […]
Read moreThe science behind Amazon Alexa TaskBot TWIZ: 4 publications at top NLP conferences
The AlexaTaskBot TWIZ team is having lots of fun publishing the research results of our journey: 4 papers at ACL2024,EMNLP2024 and EACL2024 conferences so far. The first article describes our research towards PlanLLM@EACL2024, a model that can ground its behavior on a step-by-step plan of instructions. It was the first of such models that paved […]
Read moreNOVA LINCS Receives Google Gift to research Drone Video AI Agent for Natural Disasters and Climate Change
Prof. João Magalhães, coordinator of the Multimodal Systems Group, received a Google Gift to research Vision and Language AI models to analyze videos obtained by Drones in scenarios of natural disasters and climate change. Drone-mounted cameras opened a multitude of applications across a wide range of fields. They enable analysis over vast territories, facilitating comprehensive […]
Read moreMultimodal Systems and Google Researchers present a novel Generative AI algorithm at ACL2024
Researchers of the Multimodal Systems group and Google proposed a new Generative AI algorithm to synthesize coherent sequences of images representing manual tasks, such as DYI, cooking. The key goal is to make Generative-AI capable of handling inputs that sequences of instructions. This is a step change in relation to the state of the art […]
Read moreNOVA LINCS PhD student, Ricardo Veiga, selected for the Future Talent Programme’s Lightning Talk Challenge
Ricardo Veiga, PhD student supervised by NOVA LINCS researcher João Rodrigues at the University of the Algarve, has been selected for The Future Talent Programme’s Lightning Talk Challenge (FTP24), promoted by the GÉANT Network, that interconnects Europe’s national research and education networks. The GÉANT Future Talent Programme’s Lightning Talk Challenge offers students and young professionals […]
Read moreGlórIA: the new Portuguese-European Large Language Model
GlórIA is the new Portuguese LLM, developed at the NOVA LINCS Multimodal Systems Group. GlórIA is a PT-PT top-performing LLM, capable of generating high-quality texts on a multitude of topics, such as History, Environment, Culinary, and many more. Led by Prof. David Semedo and together with Ricardo Lopes and Prof. João Magalhães, the team has […]
Read moreNOVA LINCS PhD student, Diogo Lavado, distinguished by REN and Fraunhofer Portugal
Diogo Lavado, NOVA LINCS PhD student, was distinguished by REN Award and the Fraunhofer Portugal Challenge Master Thesis Award, for his master thesis “Detection of Power Line Supporting Towers Via Interpretable Semantic Segmentation of 3D Point Clouds”. His thesis aims to contribute to improving the inspection and maintenance work of power transmission networks. The innovative […]
Read morelatests Events
From Ambiguity to Clarity: Navigating Uncertainty in Human-Machine Conversations
NOVA LINCS Seminar by Malihe Alikhani (Northeastern University)
15 July 2024, 11h00
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How Large Corpora Sizes Influence the Distribution of Low Frequency Text n-grams
NOVA LINCS Seminar by Joaquim Ferreira da Silva (NOVA FCT – NOVA LINCS)
10 July 2024, 14h00
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Plan-Grounded Language Models for Dual Goal Conversational Settings
NOVA LINCS Seminar by Diogo Silva (NOVA FCT – NOVA LINCS)
3 July 2024, 14h00
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