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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.

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.

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].

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.

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.

In the age of technology everywhere, we are all too familiar with the inconvenience of a dead battery. But for those relying on a wearable health care device to monitor glucose, reduce tremors, or even track heart function, taking time to recharge can pose a big risk.

For the first time, researchers in Carnegie Mellon University’s Department of Mechanical Engineering have shown that a health care device can be powered using alone. By combining a pulse oximetry sensor with a flexible, stretchable, wearable thermoelectric energy generator composed of , semiconductors, and 3D printed rubber, the team has introduced a promising way to address battery life concerns.

“This is the first step towards battery-free wearable electronics,” said Mason Zadan, Ph.D. candidate and first author of the research published in Advanced Functional Materials.

A University of Bristol-led study found that life on Earth, stemming from a common ancestor called LUCA, flourished soon after the planet’s formation.

Through genetic analysis and evolutionary modeling, researchers pinpointed LUCA’s existence to about 4.2 billion years ago, revealing it as a complex organism with an early immune system integral to Earth’s earliest ecosystems.

Luca’s genetic blueprint and its descendants.