Forecasting electricity demand in buildings is now more accurate with Group Encoding (GE), a new method that uses only existing device operation data. Developed by researchers at the Institute of Science Tokyo, the method improved prediction accuracy by 74% in real-world tests. By simplifying high-dimensional binary data, GE supports efficient energy device management, cost reduction, and seamless integration of renewable energy in distributed systems, making it a practical tool for smart energy operation.

A recent study reports (Al,Ga,Sc)N thin films with record-high scandium levels, with exciting potential for ultra-low-power memory devices, as reported by researchers from Institute of Science Tokyo (Science Tokyo). Using reactive magnetron sputtering, they fine-tuned the composition of ternary alloys to overcome previous stability limits. Beyond enabling efficient data storage, these films also show promise for noise filters for 6G communications and optical computing, thanks to attractive piezoelectric and optoelectric properties.

Magic fluorinated molecules like PFBT drastically reduce contact resistance by a factor of 16 in flexible organic transistor, diminish energy barriers by 73%, and enhance operational metrics. Derived from in-situ chemical reactions at metal-organic semiconductor buried interfaces, this breakthrough eliminates interfacial trap states and mitigates Fermi-level pinning. This innovation sparks visions of sleek bendable screens and intuitive wearable technology, reshaping flexible electronics with elegance and precision.

The use of technology to improve quality of life and education is one of the great challenges of the 21st century. In this context, the project led by Rafael Berlanga, professor in the Department of Computer Languages and Systems, and Lledó Museros Cabedo, senior lecturer in the Department of Computer Science and Engineering at the Universitat Jaume I, investigates how to apply explainable artificial intelligence (XAI) to promote healthy habits, enhance cognitive abilities and foster social inclusion.

This research, included in the XAI4SOC-UJI project and funded by the 2021 State Scientific Research Plan, responds to the call of the United Nations General Assembly's Decade of Healthy Ageing (2021-2030), which promotes the empowerment of older people to remain active citizens, while educating young people in values and habits that improve well-being. In this context, XAI4SOC-UJI combines advanced technologies, such as cognitive video games and conversational systems, to help adolescents in particular to develop spatial reasoning skills and to recognise and manage emotions.