Artificial intelligence
As the European Union initiates a public consultation on the classification and regulation of high-risk AI systems, courts worldwide are grappling with the complexities of AI-related litigation, particularly concerning copyright, fair use, and trade secret issues. The EU's AI Act aims to establish a risk-based classification structure, prohibiting
Artificial intelligence
As technologies like session replay and website pixels have given way to a new wave of class actions and mass arbitration campaigns, the spotlight is turning to artificial intelligence (AI) and generative AI (GenAI), which are increasingly being used in various corporate operational functions. A recent trend is emerging, where
Theft
Beyonce's team fell victim to a high-profile theft in Atlanta, with multiple items, including unreleased music and tour plans, being stolen from their rented Jeep. A tracking device helped police track down the stolen items, with officers now in pursuit of a suspect who has been identified and
Artificial intelligence
The first half of 2025 has witnessed significant shifts in the global landscape for artificial intelligence (AI) policy and legislation, with governments, regulators, and industry leaders navigating the complex interplay between fostering innovation and ensuring ethical, safe AI development. Key events such as the AI Action Summit in Paris, the
Artificial intelligence
As technology companies, such as those in the fields of digital infrastructure and algorithms, rise to become actors equivalent to nation-states, sovereignty is no longer measured solely by territory or military deterrence but by control over data, artificial intelligence (AI) systems, and digital networks. Turkey has been at the forefront
Artificial intelligence
The rapid development of artificial intelligence (AI) has revolutionized the business landscape, particularly in the multi-level marketing (MLM) and direct selling industries. However, the use of AI in these areas raises complex legal issues, including consumer protection, privacy and data protection, false advertising, and potential pyramid selling models. As AI
Artificial intelligence
Researchers at King Abdulaziz University in Saudi Arabia have developed a model that improves the security of assistive technology (AT) systems in digital healthcare applications. The study focuses on enhancing AI-based AT through the implementation of emerging technologies used for security, risk management strategies, and a robust assessment framework. The
Artificial intelligence
As the European Union continues to establish a "regulatory fortress" with its suite of digital regulations, businesses operating in the EU are facing increasing complexity in navigating compliance. The GDPR, AI Act, DSA, and several other frameworks have created a "soup" of overlapping and sometimes conflicting
Artificial neural networks
Research conducted by the Seoul National University Science & Technology has found that Large Language Models (LLMs) pose significant data security risks, particularly in Internet of Things (IoT) environments. The study, published in Computer Networks, highlights the vulnerabilities of LLMs to adversarial attacks, data poisoning, and privacy breaches. The research
Artificial neural networks
Researchers from IMT Atlantique have presented a new deep neural network watermarking technique, RoSe-Mix, designed for black-box settings. According to the study, RoSe-Mix addresses limitations in existing DNN watermarking approaches by integrating key features from two established methods: RoSe, which uses cryptographic hashing to ensure security, and Mixer, which employs
Artificial neural networks
Researchers at Isik University have published a groundbreaking study on homomorphic encryption (HE) for secure machine learning inference in sensitive environments such as healthcare and finance. Their research focuses on efficiently handling non-linear activation functions in artificial neural networks (ANNs) under homomorphic encryption. The study introduces a lightweight, ANN-based estimator
Artificial neural networks
Researchers at Loughborough University have made a significant discovery in the field of cybersecurity, finding that Binary Neural Networks (BNNs) can significantly reduce computational complexity while maintaining accuracy in resource-constrained environments. This breakthrough has the potential to revolutionize the way we approach cybersecurity in areas such as autonomous systems, industrial
