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Blog – Page 993

Florida Atlantic Center for Connected Autonomy and Artificial Intelligence (CA-AI.fau.edu) researchers have “cracked the code” on interference when machines need to talk with each other—and people.

Electromagnetic waves make wireless connectivity possible but create a lot of unwanted chatter. Referred to as “electromagnetic interference,” this noisy byproduct of wireless communications poses formidable challenges in modern day dense IoT and AI robotic environments. With the demand for lightning-fast data rates reaching unprecedented levels, the need to quell this interference is more pressing than ever.

Equipped with a breakthrough algorithmic solution, researchers from FAU Center for Connected Autonomy and AI, within the College of Engineering and Computer Science, and FAU Institute for Sensing and Embedded Network Systems Engineering (I-SENSE), have figured out a way to do that.

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Researchers from the University of Queensland have found that high-intensity interval training significantly enhances brain function in older adults, with cognitive improvements lasting up to five years. This study, led by Emeritus Professor Perry Bartlett and Dr. Daniel Blackmore, confirms that such exercise can not only improve but sustain cognition in aging populations, potentially reducing the risks and costs associated with dementia.

Researchers from the University of Queensland have conducted a longitudinal study demonstrating that high-intensity interval exercise can enhance brain function in older adults for up to five years. Led by Emeritus Professor Perry Bartlett and Dr. Daniel Blackmore of UQ’s Queensland Brain Institute, the study involved participants engaging in physical exercise and undergoing brain scans.

They have shown high high-intensity exercise boosts cognition in healthy older adults and the improvement was retained for up to 5 years.

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AI will enable drone wingmen to make autonomous decisions without centralized command.

According to Airbus, FCAS will be centered around a core Next Generation Weapon System (NGWS). In this “system of systems,” piloted New Generation Fighters will work together with Unmanned Remote Carriers – all connected to other systems in space, in the air, on the ground, at sea and in cyberspace via a data cloud called the “Combat Cloud.”

The FCAS is one more step towards the goal of achieving full collaborative combat by 2040, which can replace military systems like Rafale and Eurofighter.

Continue reading “AI-powered drone wingmen to aid Europe’s 6th-gen combat jets” | >

Abstract: Text-to-Image (T2I) models are being increasingly adopted in diverse global communities where they create visual representations of their unique cultures. Current T2I benchmarks primarily focus on faithfulness, aesthetics, and realism of generated images, overlooking the critical dimension of cultural competence. In this work, we introduce a framework to evaluate cultural competence of T2I models along two crucial dimensions: cultural awareness and cultural diversity, and present a scalable approach using a combination of structured knowledge bases and large language models to build a large dataset of cultural artifacts to enable this evaluation. In particular, we apply this approach to build CUBE (CUltural BEnchmark for Text-to-Image models), a first-of-its-kind benchmark to evaluate cultural competence of T2I models. CUBE covers cultural artifacts associated with 8 countries across different geo-cultural regions and along 3 concepts: cuisine, landmarks, and art. CUBE consists of 1) CUBE-1K, a set of high-quality prompts that enable the evaluation of cultural awareness, and 2) CUBE-CSpace, a larger dataset of cultural artifacts that serves as grounding to evaluate cultural diversity. We also introduce cultural diversity as a novel T2I evaluation component, leveraging quality-weighted Vendi score. Our evaluations reveal significant gaps in the cultural awareness of existing models across countries and provide valuable insights into the cultural diversity of T2I outputs for under-specified prompts. Our methodology is extendable to other cultural regions and concepts, and can facilitate the development of T2I models that better cater to the global population.

From: Nithish Kannen [view email].

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Unlike letters carved on the Rosetta stone, digital data is not written on a virtually immutable support. Just a few years after it is written, its format becomes obsolete, the readout analysis tools can’t run on computers and the visualization code no longer works. But data can still contain interesting scientific information that should remain available to future generations of scientists.

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While nuclear physicists know the strong interaction is what holds together the particles at the heart of matter, we still have a lot to learn about this fundamental force. Results published earlier this year in Physical Review D by three researchers in the Center for Theoretical and Computational Physics at the U.S. Department of Energy’s Thomas Jefferson National Accelerator Facility bring us closer to understanding an important piece of the strong interaction puzzle.

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