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Results for "Leandro Aolita"

TII Appointments

TII ·

The Technology Innovation Institute (TII) has appointed Dr. Leandro Aolita as Acting Chief Researcher of the Quantum Research Center (QRC) and Dr. Frederico Brito as Acting Director of the Quantum Computing Hardware Laboratories. Dr. José Ignacio Latorre will remain an external advisor for QRC while Dr. Brito maintains his professorship at the University of Sao Paulo. These appointments come as the UN declares 2025 the Year of Quantum Technology and Science. Why it matters: The leadership changes at TII's quantum research center signal continued investment in quantum technologies within the UAE and the broader region.

The art of translating science into business

KAUST ·

KAUST Discovery highlighted Prof. Karl Leo's insights on translating science into business from an Entrepreneurship Center speaker series. Prof. Leo, with 440 publications and 8 co-founded companies, emphasized the importance of curiosity-driven basic research. He envisions organic semiconductors dominating electronics in 20-30 years, noting the success of Novaled, his OLED company in Dresden. Why it matters: This underscores KAUST's focus on fostering entrepreneurship and translating research into practical applications within the Kingdom.

Multimodality for story-level understanding and generation of visual data

MBZUAI ·

Vicky Kalogeiton from École Polytechnique discussed the importance of multimodality for story-level recognition and generation using video, audio, text, masks and clinical data. She presented on multimodal video understanding using FunnyNet-W and Short Film Dataset. She further showed examples of visual generation from text and other modalities (ET, CAD, DynamicGuidance). Why it matters: Multimodal AI research is growing globally, and this talk highlights the potential of combining different data types for enhanced understanding and generation, which could have implications for various applications, including those relevant to the Middle East.

Towards Robust Multimodal Open-set Test-time Adaptation via Adaptive Entropy-aware Optimization

arXiv ·

This paper introduces Adaptive Entropy-aware Optimization (AEO), a new framework to tackle Multimodal Open-set Test-time Adaptation (MM-OSTTA). AEO uses Unknown-aware Adaptive Entropy Optimization (UAE) and Adaptive Modality Prediction Discrepancy Optimization (AMP) to distinguish unknown class samples during online adaptation by amplifying the entropy difference between known and unknown samples. The study establishes a new benchmark derived from existing datasets with five modalities and evaluates AEO's performance across various domain shift scenarios, demonstrating its effectiveness in long-term and continual MM-OSTTA settings.

Follow your passion

KAUST ·

Entrepreneur Alexandru Ionut Budisteanu spoke at KAUST's 2018 Winter Enrichment Program (WEP) about pursuing one's passion to achieve their dreams. Budisteanu shared his journey of creating video games and building an autonomous self-driving car prototype. He emphasized the importance of finding a job or activity that one loves and working with passion. Why it matters: Showcases KAUST's efforts to host inspiring speakers and promote entrepreneurship among students.

Qibo – QRC have developed a framework for quantum simulation of ready use on classical computers

TII ·

QRC has developed Qibo, a Python library enabling classical simulation of quantum algorithms with double precision. Qibo leverages hardware accelerators like GPUs and CPUs with multi-threading. It incorporates a multi-GPU distributed approach for circuit simulation. Why it matters: This framework allows researchers and developers in the region to explore and prototype quantum algorithms using existing classical computing infrastructure, fostering innovation in quantum computing research and applications.

Doing what was once impossible

KAUST ·

Dr. Laurent A. Lantieri delivered a keynote address at KAUST on April 17, 2017, discussing microsurgical procedures. The address included a brief history of microsurgery. The event took place in the University Auditorium. Why it matters: Such events expose the KAUST community to advances in specialized medical fields and potential research applications.

Cross-modal understanding and generation of multimodal content

MBZUAI ·

Nicu Sebe from the University of Trento presented recent work on video generation, focusing on animating objects in a source image using external information like labels, driving videos, or text. He introduced a Learnable Game Engine (LGE) trained from monocular annotated videos, which maintains states of scenes, objects, and agents to render controllable viewpoints. Why it matters: This talk highlights advancements in cross-modal AI, potentially enabling new applications in gaming, simulation, and content creation within the region.