Artificial intelligence used to improve speed and accuracy of autism and ADHD diagnoses
Peer-Reviewed Publication
This month, we’re focusing on artificial intelligence (AI), a topic that continues to capture attention everywhere. Here, you’ll find the latest research news, insights, and discoveries shaping how AI is being developed and used across the world.
Updates every hour. Last Updated: 19-Dec-2025 10:11 ET (19-Dec-2025 15:11 GMT/UTC)
In a paper published in National Science Review, scientists used machine learning to reconstruct the geochemical composition of the Hadean continental crust. Based on Jack Hills zircons, the study reveals a felsic crust dominated by TTGs and potassic granites, formed through partial melting of mafic protocrust during crustal thickening. The results provide new constraints on early Earth’s tectonic evolution.
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.
Latest generative AI models such as OpenAI's ChatGPT-4 and Google's Gemini 2.5 require not only high memory bandwidth but also large memory capacity. This is why generative AI cloud operating companies like Microsoft and Google purchase hundreds of thousands of NVIDIA GPUs. As a solution to address the core challenges of building such high-performance AI infrastructure, Korean researchers have succeeded in developing an NPU (Neural Processing Unit)* core technology that improves the inference performance of generative AI models by an average of over 60% while consuming approximately 44% less power compared to the latest GPUs.
*NPU (Neural Processing Unit): An AI-specific semiconductor chip designed to rapidly process artificial neural networks.
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.
Predatory fish that evolved into the first terrestrial animals on Earth are still revealing insights into the origins of mammals – including new research into the eating habits of lobe-finned fish which inhabited an ancient reef in northern Australia.
In new research in iScience journal, an international study led by Flinders University reveals new insights into the lives of 380-million-year-old lungfish after a high-tech examination of ‘remarkable’ well-preserved jawbones found in the remote Gogo fossil field in northern Western Australia.
POSTECH Achieves First-Ever Ribosomal Synthesis of Cyclic Peptides : Opening New Avenues for Next-Generation Drug Design