Can machines ever see the world as we see it? Researchers have uncovered compelling evidence that vision transformers (ViTs), a type of deep-learning model that specializes in image analysis, can spontaneously develop human-like visual attention patterns when trained without labeled instructions.Can machines ever see the world as we see it? Researchers have uncovered compelling evidence that vision transformers (ViTs), a type of deep-learning model that specializes in image analysis, can spontaneously develop human-like visual attention patterns when trained without labeled instructions.Machine learning & AI[#item_full_content]

In 2024, 1,040 accidents were recorded on Spanish roads, in addition to minor collisions and other driving problems. The causes of these accidents include speeding, adverse weather conditions and substance abuse, but also distraction and stressful situations that can be mitigated by improving infrastructure design, technologies to assist drivers and road safety policies.In 2024, 1,040 accidents were recorded on Spanish roads, in addition to minor collisions and other driving problems. The causes of these accidents include speeding, adverse weather conditions and substance abuse, but also distraction and stressful situations that can be mitigated by improving infrastructure design, technologies to assist drivers and road safety policies.Automotive[#item_full_content]

A new tool has been developed to better assess the performance of AI models. It was developed by bioinformaticians at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) and the Helmholtz Institute for Pharmaceutical Research Saarland (HIPS).A new tool has been developed to better assess the performance of AI models. It was developed by bioinformaticians at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) and the Helmholtz Institute for Pharmaceutical Research Saarland (HIPS).Computer Sciences[#item_full_content]

A group of AI researchers at Ben Gurion University of the Negev, in Israel, has found that despite efforts by large language model (LLM) makers, most commonly available chatbots are still easily tricked into generating harmful and sometimes illegal information.A group of AI researchers at Ben Gurion University of the Negev, in Israel, has found that despite efforts by large language model (LLM) makers, most commonly available chatbots are still easily tricked into generating harmful and sometimes illegal information.Security[#item_full_content]