Artificial intelligence is increasingly being used to help optimize decision-making in high-stakes settings. For instance, an autonomous system can identify a power distribution strategy that minimizes costs while keeping voltages stable.Artificial intelligence is increasingly being used to help optimize decision-making in high-stakes settings. For instance, an autonomous system can identify a power distribution strategy that minimizes costs while keeping voltages stable.[#item_full_content]
Fair decisions, clear reasons: Creating fuzzy AI with fairness built in from the starton April 2, 2026 at 11:40 am
Although AI is not intentionally biased, it can inherit biases from the data fed into it, learning and repeating them until the system becomes inherently unfair. This is complicated by the problem of identifying where the AI system introduced the bias, as most AI systems display their final decision without showing the steps that made it. Unfair patterns may go unnoticed simply because they are hard to identify.Although AI is not intentionally biased, it can inherit biases from the data fed into it, learning and repeating them until the system becomes inherently unfair. This is complicated by the problem of identifying where the AI system introduced the bias, as most AI systems display their final decision without showing the steps that made it. Unfair patterns may go unnoticed simply because they are hard to identify.[#item_full_content]
Your call center rep is emotionally exhausted—their computer may know when to helpon April 2, 2026 at 9:40 am
When a customer calls to complain about a billing error or a delayed package, the person on the other end of the line is doing more than answering questions.When a customer calls to complain about a billing error or a delayed package, the person on the other end of the line is doing more than answering questions.[#item_full_content]
The number of scientific papers is growing so rapidly that scientists are no longer able to keep track of all of them, even in their own research area. Researchers from the Karlsruhe Institute of Technology (KIT), in collaboration with scientific partners, have shown how new research ideas can still be obtained from this wealth of information. Using artificial intelligence (AI), they systematically analyzed materials science publications to identify potential new avenues of research. Their results have been published in Nature Machine Intelligence.The number of scientific papers is growing so rapidly that scientists are no longer able to keep track of all of them, even in their own research area. Researchers from the Karlsruhe Institute of Technology (KIT), in collaboration with scientific partners, have shown how new research ideas can still be obtained from this wealth of information. Using artificial intelligence (AI), they systematically analyzed materials science publications to identify potential new avenues of research. Their results have been published in Nature Machine Intelligence.[#item_full_content]
Nano- and microplastics are increasingly being detected in the human body. However, their detection remains challenging, often relying on invasive techniques and specialized equipment. Researchers at the Institute of Computer Science at the University of Tartu are developing a device that can measure plastic in the human body. Their research is published in the journal Proceedings of the 27th International Workshop on Mobile Computing Systems and Applications.Nano- and microplastics are increasingly being detected in the human body. However, their detection remains challenging, often relying on invasive techniques and specialized equipment. Researchers at the Institute of Computer Science at the University of Tartu are developing a device that can measure plastic in the human body. Their research is published in the journal Proceedings of the 27th International Workshop on Mobile Computing Systems and Applications.[#item_full_content]
Artificial intelligence chatbots are so prone to flattering and validating their human users that they are giving bad advice that can damage relationships and reinforce harmful behaviors, according to a new study that explores the dangers of AI telling people what they want to hear.Artificial intelligence chatbots are so prone to flattering and validating their human users that they are giving bad advice that can damage relationships and reinforce harmful behaviors, according to a new study that explores the dangers of AI telling people what they want to hear.[#item_full_content]
Even with all the recent advances in the ability of large language models (like ChatGPT) to help us think, research, summarize, and learn complex and technical texts, how do they fare in understanding storytelling and literature? These questions around interpretive nuance remain.Even with all the recent advances in the ability of large language models (like ChatGPT) to help us think, research, summarize, and learn complex and technical texts, how do they fare in understanding storytelling and literature? These questions around interpretive nuance remain.[#item_full_content]
Capturing a picturesque scene through reflective materials, such as glass, often results in an unintended superimposition—showing both the transmitted scene and the undesired reflected scene. While traditional reflection removal techniques have made progress, they frequently struggle with complex reflection patterns and varying lighting conditions, leaving residual artifacts that diminish image quality.Capturing a picturesque scene through reflective materials, such as glass, often results in an unintended superimposition—showing both the transmitted scene and the undesired reflected scene. While traditional reflection removal techniques have made progress, they frequently struggle with complex reflection patterns and varying lighting conditions, leaving residual artifacts that diminish image quality.[#item_full_content]
Every second, scientific experiments produce a flood of data—so much that transmitting and analyzing it can slow down even the most advanced research. To help scientists better manage this data deluge, researchers at the U.S. Department of Energy’s (DOE) Argonne National Laboratory have developed a new computer chip that rapidly compresses and processes the huge amounts of data generated by advanced X-ray detectors, like those at the Advanced Photon Source (APS), a DOE Office of Science user facility at Argonne. By compressing data right at the source, like shrinking a movie or song to make it easier to send, this technology makes experiments faster, more efficient, and more insightful than ever.Every second, scientific experiments produce a flood of data—so much that transmitting and analyzing it can slow down even the most advanced research. To help scientists better manage this data deluge, researchers at the U.S. Department of Energy’s (DOE) Argonne National Laboratory have developed a new computer chip that rapidly compresses and processes the huge amounts of data generated by advanced X-ray detectors, like those at the Advanced Photon Source (APS), a DOE Office of Science user facility at Argonne. By compressing data right at the source, like shrinking a movie or song to make it easier to send, this technology makes experiments faster, more efficient, and more insightful than ever.[#item_full_content]
Large language models (LLMs), artificial intelligence systems that can process and generate texts in different languages, are now used daily by many people worldwide. As these models can rapidly source information and create convincing content for specific purposes, they are now also used in some professional settings or for gathering legal, medical, or financial information.Large language models (LLMs), artificial intelligence systems that can process and generate texts in different languages, are now used daily by many people worldwide. As these models can rapidly source information and create convincing content for specific purposes, they are now also used in some professional settings or for gathering legal, medical, or financial information.[#item_full_content]
