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Category: education – Page 23

Humanities Research Centers on Artificial Intelligence

DEADLINE APPROACHING! The NEH program is accepting applications through Dec. 11, 2024. For more information, visit.

For organizations in areas affected by Hurricane Helene in FL, GA, SC, NC, VA and TN, optional prospectuses will be accepted until Oct 16th. The prospectus must use the Prospectus Template.

The Humanities Research Centers on Artificial Intelligence program aims to support a more holistic understanding of artificial intelligence (AI) in the modern world through the creation of new humanities research centers on artificial intelligence at eligible institutions. Centers must focus their scholarly activities on exploring the ethical, legal, or societal implications of AI.

A Center supports collaboration among scholars to explore a specific topic through research, as well as spreading knowledge about that research through educational or outreach activities. Centers may include scholars from diverse disciplines, but must be focused on asking humanities questions and should be led by humanists. Scholars may come from one or more institutions. NEH welcomes international collaboration, but scholars at U.S. institutions must contribute significantly to the project. This program is for establishing new Centers; existing Centers and Institutes are not eligible in this competition. Only one application per institution is permitted in this competition. For the purposes of this limitation, branch campuses are considered separately and each may submit one application.

Making quantum physics easier to digest in schools: Experts encourage focus on two-state systems

A team of physics educators from Italy, Hungary, Slovenia and Germany is focusing on a new approach to teaching quantum physics in schools. Traditional classroom teaching has tended to focus on presenting the history of the origins of quantum physics, which often poses problems for learners.

Using the quantum measurement process as an example, the researchers have now published their first empirical findings on learning —based on two-state systems—in Physical Review Physics Education Research.

The researchers, including physics education specialist Professor Philipp Bitzenbauer from Leipzig University, concentrate on what are known as qubits. These are two-state systems, the simplest and at the same time most important quantum systems that can be used to describe many situations. Controlling and manipulating these qubits plays a central role in modern quantum technologies.

AI and human writers share stylistic fingerprints: New work by researchers detects writing patterns of LLMs

People write with personal style and individual flourishes that set them apart from other writers. So does AI, including top programs like Chat GPT, new Johns Hopkins University-led research finds.

A new tool can not only detect writing created by AI, it can predict which created it, findings that could help identify school cheaters and the language programs favored by people spreading online disinformation.

“We’re the first to show that AI-generated text shares the same features as human writing, and that this can be used to reliably detect it and attribute it to specific language models,” said author Nicholas Andrews, a senior research scientist at Johns Hopkins’ Human Language Technology Center of Excellence.

Brain injury rehabilitation study reveals neural mechanisms of sleep-dependent motor learning

New research published by scientists at Kessler Foundation provides critical insights into the role of sleep in motor learning for individuals recovering from traumatic brain injury (TBI). The study sheds light on how sleep, specifically a short nap, influences brain activity associated with motor skill improvement, with implications for optimizing rehabilitation strategies.

The article, “Neural mechanisms associated with sleep-dependent enhancement of motor learning after brain injury”, was published in the Journal of Sleep Research. The study was led by Kessler Foundation researchers Anthony H. Lequerica, Ph.D., with additional authors Tien T. Tong, Ph.D., Paige Rusnock, Kai Sucich, Nancy Chiaravalloti, Ph.D., Ekaterina Dobryakova, Ph.D., and Matthew R. Ebben, Ph.D., and Patrick Chau, from Weill Cornell Medicine, New York.

The study involved 32 individuals with TBI, randomly assigned to either a sleep or wake group following training on a motor task. The sleep group had a 45-minute nap, while the wake group remained awake, watching a documentary.

‘Zombie neurons’ shed light on how the brain learns

Nestled at the back of your head, the cerebellum is a brain structure that plays a pivotal role in how we learn, adapting our actions based on past experiences. Yet the precise ways in which this learning happens are still being defined.

A study led by a team at the Champalimaud Foundation brings new clarity to this debate, with a serendipitous finding of so-called “zombie neurons.” These neurons, alive but functionally altered, have helped to advance our understanding of the cerebellum’s critical teaching signals.

The word “cerebellum” means “little brain,” despite the fact that it holds more than half the brain’s neurons. It is essential for coordinating movements and balance, helping you perform everyday tasks smoothly, like walking down a crowded street, or playing sports. It is also crucial for the that allows you to associate sensory cues with specific actions.

Gov. Abbott unveils nuclear energy initiative aimed at strengthening Texas grid

The plan includes seven major recommendations.

The first is creating a new state authority to oversee nuclear development. They’ll also establish a single point of contact to help companies navigate the complex permitting process.

Education is also a big focus of the plan. It calls for partnerships with community colleges and universities to train workers for these high-tech jobs.