Numbers are the language of science—yet in research articles, they are often buried within the text and difficult to analyze. Researchers at Jülich have developed an AI system that automatically identifies these numbers, categorizes them, and converts them into structured data. The Quinex framework thus eliminates the need for time-consuming manual work.

A new technology allows light to be "designed" into desired forms, potentially making AI and communication technologies faster and more accurate. A KAIST research team has developed an "integrated photonic resonator"—a core component of next-generation optical integrated circuits that process data using light. Interestingly, the research was led by an undergraduate student. This technology is expected to serve as a key foundation for next-generation security technologies such as high-speed data processing and quantum communication.

Generative AI models can be prompted with just a few words to insert offensive or discriminatory text messages into images. Aditya Kumar from the SPRINT-ML Lab at the CISPA Helmholtz Center for Information Security is investigating how such outputs can be reliably prevented. To address this, he developed ToxicBench, a test dataset that evaluates how well image-generating AI systems handle offensive inputs. He also created a fine-tuning strategy to adapt the models accordingly.

From an advertisement for an herbal remedy that promises to cure all to a video featuring a voice that sounds just like a movie star, you've surely encountered spam and scam advertisements online. And they have likely been created with artificial intelligence.

Weighing up arguments, drawing logical conclusions and deriving a clearly correct answer—such tasks have so far presented artificial intelligence with a number of hurdles. When it comes to complex problems, computing a logically sound conclusion quickly pushes standard algorithms to their mathematical and computational limits.