One attack, many responses—organizations use various solutions to ward off online attacks. The playbooks that outline countermeasures also vary in their specifics. In the CyberGuard project, Fraunhofer researchers are working on standardized playbooks to help companies optimize their security strategies and align them with each other. The playbooks are generated by large language models and support the automation of IT security.

Researchers have developed "infomorphic neurons" that learn independently, mimicking their biological counterparts more accurately than previous artificial neurons. A team of researchers from the Göttingen Campus Institute for Dynamics of Biological Networks (CIDBN) at the University of Göttingen and the Max Planck Institute for Dynamics and Self-Organization (MPI-DS) has programmed these infomorphic neurons and constructed artificial neural networks from them.

Over the past year, AI researchers have found that when AI chatbots such as ChatGPT find themselves unable to answer questions that satisfy users' requests, they tend to offer false answers. In a new study, as part of a program aimed at stopping chatbots from lying or making up answers, a research team added Chain of Thought (CoT) windows. These force the chatbot to explain its reasoning as it carries out each step on its path to finding a final answer to a query.

Has Apple, the biggest company in the world, bungled its generative artificial intelligence strategy?

In the digital age, the recovery of deleted data is a key challenge in digital forensics. With the constant increase in data volumes and storage methods, conventional methods are reaching their limits. This is where the Carve-DL research project comes in: an AI-based solution that can recover files that are difficult to reconstruct by the use of learning algorithms to sustainably improve the efficiency and accuracy of digital data reconstruction.

AI is changing the way we work, create, and share information—but brownies? A new study from the University of Illinois Urbana-Champaign explores how ChatGPT can be used in the sensory evaluation of foods, specifically brownies. The study, published in the journal Foods, offers insights that could streamline development of new products, and possibly enhance recipes moving forward.

Anyone who develops an AI solution sometimes goes on a journey into the unknown. At least at the beginning, researchers and designers do not always know whether their algorithms and AI models will work as expected or whether the AI will ultimately make mistakes.

Researchers from the National University of Singapore (NUS) have demonstrated that a single, standard silicon transistor, the fundamental building block of microchips used in computers, smartphones and almost every electronic system, can function like a biological neuron and synapse when operated in a specific, unconventional way.

Recent work in 6D object pose estimation holds significant promise for advancing robotics, augmented reality (AR), virtual reality (VR), as well as autonomous navigation. The research, published in the International Journal of Computational Science and Engineering, introduces a method that enhances the accuracy, generalization, and efficiency of determining an object's rotation and translation from a single image. This could significantly improve robots' ability to interact with objects, especially in dynamic or obstructed environments.

A research collaboration between Shanghai Jiao Tong University, Shanghai Qi Zhi Institution, and Huawei Technologies has introduced BAFT, a cutting-edge autosave system for AI training that minimizes downtime and optimizes efficiency.