New system enables robots to solve manipulation problems in seconds
Reports and Proceedings
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: 7-Nov-2025 05:10 ET (7-Nov-2025 10:10 GMT/UTC)
A new system enables a robot to “think ahead” and consider thousands of potential motion plans simultaneously, allowing the robot to solve a multistep problem in a few seconds.
Microplastic pollution in agricultural soils is an emerging threat to food safety and ecosystem health, yet detecting these tiny particles at low concentrations remains a major challenge.
Generative Artificial Intelligence (AI) is revolutionizing the way designers brainstorm, visualize, and bring ideas to life—but its effectiveness depends on the form it takes.
For the first time, a study conducted by the Department of Psychology and Cognitive Science of the University of Trento used artificial AI models to analyse the topics discussed in online forums. Using natural language processing techniques, the researchers were able to identify the topics of discussion and learn about the lived experiences of people with autism. An inclusive research methodology that opens up new perspectives in the clinical field
Artificial intelligence (AI) has become a key aspect of our lives. Large language model (LLM) is an AI which can understand and generate human-like text. ChatGPT is an LLM which is gaining popularity. A new scoping review of 16 studies explores the role of ChatGPT in writing instruction in the English as a Foreign Language (EFL) setting. The review highlights the effectiveness of ChatGPT in providing feedback, revising grammar, and idea generation. The review also highlights the limitations of ChatGPT.
A cutting-edge artificial intelligence (AI) model developed at Institute of Science Tokyo is transforming lung cancer diagnosis—no high-powered graphics processing unit (GPU) servers needed! Led by Professor Kenji Suzuki of the Biomedical AI Research Unit, the team applied ultra-lightweight deep learning to make AI-driven diagnostic tools more accessible, paving the way for low-cost, high-impact solutions.A cutting-edge artificial intelligence (AI) model developed at Institute of Science Tokyo is transforming lung cancer diagnosis—no high-powered graphics processing unit (GPU) servers needed! Led by Professor Kenji Suzuki of the Biomedical AI Research Unit, the team applied ultra-lightweight deep learning to make AI-driven diagnostic tools more accessible, paving the way for low-cost, high-impact solutions.
Heart failure with preserved ejection fraction (HFpEF) is a complex clinical syndrome with high morbidity and mortality, commonly seen in the elderly population. The mechanisms underlying the pathophysiology of HFpEF are currently unclear; consequently, understanding these mechanisms is essential to identify biomarkers and develop targeted therapies.