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Lockheed Martin signs agreement with KAUST

KAUST ·

Lockheed Martin and King Abdullah University of Science and Technology (KAUST) signed a memorandum of understanding on November 15. The agreement was signed by Lockheed Martin Chairman, President and CEO Marillyn Hewson and KAUST Interim President Nadhmi Al-Nasr. Why it matters: This partnership could foster collaboration on advanced technology research and development in Saudi Arabia.

Lockheed Martin and KAUST sign Master Research Agreement

KAUST ·

Lockheed Martin and KAUST have signed a Master Research Agreement, Lockheed Martin's first international one. Their initial collaboration will focus on integrating KAUST-developed flexible solar cells on UAVs to enhance operational endurance. The collaboration aims to support applications across sectors and aligns with Saudi Vision 2030. Why it matters: This partnership signifies a major step in advancing technological innovation in Saudi Arabia, particularly in aerospace and renewable energy applications for UAVs.

A Space Age-inspired career in collaborative R&D

KAUST ·

Lockheed Martin's CTO, Dr. Dana Jackson, spoke at KAUST about the company's collaborative R&D goals. He cited the Apollo 11 moon landing as a major inspiration for his career in science and technology. The lecture took place on the KAUST campus on October 22. Why it matters: Such talks can foster collaboration between industry leaders like Lockheed Martin and academic institutions like KAUST, potentially catalyzing innovation in Saudi Arabia.

An AI trained to spot hidden objects can see through camouflage - New Scientist

Inception ·

Researchers at the University of Maryland have developed an AI system that can identify objects hidden by camouflage. The AI uses a convolutional neural network trained on synthetic data to detect partially occluded objects. The system outperformed existing object detection methods in tests on real-world images. Why it matters: The work demonstrates potential applications of AI in defense, security, and search and rescue operations in the Middle East and elsewhere.

John Pantoja, Young scientist Award, URSI GASS 2020

TII ·

John Pantoja from the Directed Energy Research Center at TII presented a method to estimate the effects of high current impulses on electro-conductive textiles. The method uses specific action, a parameter to determine burst of exploding wires, and a new equivalent electrical circuit. The model estimates the current intensity needed to melt the conductive layer at contact areas between yarns, and is validated experimentally on ripstop woven fabrics. Why it matters: The research explores conductive fabrics for portable lightning protection shelters, potentially reducing lightning-related accidents in high-risk populations.

A Benchmark and Agentic Framework for Omni-Modal Reasoning and Tool Use in Long Videos

arXiv ·

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.