KAUST's New Energy Oasis (NEO) hosted an open day on May 7 to showcase its renewable energy technologies. The event featured guided tours of the NEO site, where 11 international technology providers are testing renewable energy solutions. The technologies on display included photovoltaic (PV), concentrating solar power (CSP), and dust mitigation technologies. Why it matters: This initiative helps identify and implement the most appropriate renewable energy technologies for Saudi Arabia, addressing the Kingdom's growing energy demands.
KAUST and NEOM have signed an agreement to establish the KAUST-NEOM Center of Excellence for NEOM Research at KAUST. The center will focus on solutions for challenges in sustainable energy, urban planning, agriculture, seismology, water desalination, AI, big data, and sensors. NEOM will be backed by over $500 billion in funding. Why it matters: The partnership signifies a major investment in R&D and technological innovation within Saudi Arabia, aligning with the Kingdom's vision for economic diversification and development of cutting-edge technologies.
A new benchmark, LongShOTBench, is introduced for evaluating multimodal reasoning and tool use in long videos, featuring open-ended questions and diagnostic rubrics. The benchmark addresses the limitations of existing datasets by combining temporal length and multimodal richness, using human-validated samples. LongShOTAgent, an agentic system, is also presented for analyzing long videos, with both the benchmark and agent demonstrating the challenges faced by state-of-the-art MLLMs.
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.
The UAE is preparing to accelerate its National AI Strategy 2031 through the commencement of the National Experts Program's (NEP-AI) latest cohort. This program engages Emirati AI experts to contribute to key initiatives and projects under the national strategy. The NEP-AI aims to develop specialized talent and leadership in artificial intelligence across various sectors in the UAE. Why it matters: This initiative is crucial for the UAE's ambition to become a global leader in AI by fostering local expertise and ensuring the effective implementation of its national AI roadmap.
MBZUAI researchers presented a new second-order method for optimizing neural networks at NeurIPS 2024. The method addresses optimization problems related to variational inequalities common in machine learning. They demonstrated that for monotone inequalities with inexact second-order derivatives, no faster second- or first-order methods can theoretically exist, supporting this with experiments. Why it matters: This research has the potential to reduce the computational cost of training large and complex neural networks, which could accelerate AI development in the region.
Researchers from MBZUAI have introduced VideoMolmo, a large multimodal model for spatio-temporal pointing conditioned on textual descriptions. The model incorporates a temporal module with an attention mechanism and a temporal mask fusion pipeline using SAM2 for improved coherence across video sequences. They also curated a dataset of 72k video-caption pairs and introduced VPoS-Bench, a benchmark for evaluating generalization across real-world scenarios, with code and models publicly available.
KAUST researchers collaborated with the Paris Observatory and the National Astronomical Observatory of Japan (NAOJ) to develop advanced Extreme-AO algorithms for habitable exoplanet imaging. The new algorithms, powered by KAUST's linear algebra code running on NVIDIA GPUs, optimize and anticipate atmospheric disturbances. The implemented Singular Value Decomposition (SVD) algorithm won an award at the PASC Conference 2018 and is used at the Subaru Telescope in Hawaii. Why it matters: This advancement enhances the ability to image exoplanets, potentially leading to breakthroughs in the search for habitable planets using ground-based telescopes.