The development of artificial synapses aimed at creating neuromorphological computing systems that are anticipated to fundamentally address the performance bottleneck issues in von Neumann architecture systems. Two-dimensional (2D) materials, with their atomic-scale thickness and van der Waals contact surfaces, offer exceptional optoelectronic properties, making them potential candidates for artificial synapse fabrication.

IDAHO FALLS, Idaho — The Idaho National Laboratory today announced initial selections for the Microreactor Application Research Validation and Evaluation (MARVEL) end user experiments. The five competitively selected teams will demonstrate several test cases, including desalination of remote operations and advanced sensors. The experiments will also be among the first to demonstrate the viability of powering data centers with advanced nuclear technologies, a cutting-edge use of nuclear energy that ensures America remains the leader in innovation to dominate the artificial intelligence race. These efforts deliver on the Trump administration’s executive orders to unleash private sector innovation and expedite the deployment of commercial nuclear energy technologies.

Following the path towards innovation in education and health, the Department of Education and Specific Didactics of the Universitat Jaume I is developing Hort4Health. Under the direction of Mireia Adelantado Renau, lecturer in the Department of Didactics of Experimental Sciences, this leading project seeks to analyse and investigate in an interdisciplinary way the impact of integrating an eco-educational garden in the classrooms where students learn about health, sustainability and emotional well-being, thus offering a solid scientific basis on the benefits of these practices.

The Hort4Health project emerges in response to the growing need to promote healthy habits among young people, especially in an era where technology and sedentary lifestyles predominate and generate worrying figures. Through practical activities in the garden, students not only study about agriculture and ecology, but also experience the benefits of physical activity and contact with nature for their mental and physical health. Researcher Mireia Adelantado points out that in this way "scientific results will be obtained on the current healthy habits of the university community, completing the scarce previous literature on this subject in this population". This initiative has already involved more than a hundred pupils from the Early Childhood and Primary School Teacher degrees, who have participated in sessions designed to improve their emotional wellbeing, their connection with the environment and their understanding of the importance of an active and healthy life. Early results indicate a significant positive impact on the physical health of the participants and underline the potential of the garden as an innovative space for learning and wellbeing.

As people age, the brain undergoes multiple changes, increasing the vulnerability to neurological diseases. Early detection of neurological diseases is critical for effective treatment. In a recent study, researchers from China demonstrated that machine learning algorithms integrating imaging, genetic, and clinical data can significantly improve diagnostic accuracy and prediction, enabling timely interventions and better patient outcomes. This approach may transform clinical practice by improving precision, speed, and interpretability in assessing complex brain disorders.