Anthropic has reached a settlement with authors over a groundbreaking AI copyright infringement lawsuit. This case could set precedence for AI-generated content rights. It highlights key legal and ethical discussions surrounding AI usage and intellectual property in the U.S., potentially impacting many organizations leveraging AI for content creation.
The convergence of artificial intelligence (AI), entrepreneurship, and online education has gained significant traction in recent years, driven by rapid tech…
A U.S. district court is scheduled to consider whether to approve the settlement next week, in a case that marked the first substantive decision on how fair use applies to generative AI systems.
Google recently dodged corporate dismemberment in US federal court, in part, thanks to one District of Columbia federal judge’s “hope” that AI industry innovation will prevent the need for what he described as “an incredibly messy and highly risky break-up” that the US Department of Justice proposed as a solution to the tech giant’s monopolistic conduct in Internet search and search advertising markets. The decision is likely welcome news for Meta Platforms, which is banking on arguments about AI innovation in its fight against a break-up bid from US Federal Trade Commission antitrust litigation targeting Facebook’s acquisitions of WhatsApp and Instagram.
Introduction Fractures pose a critical challenge in emergency settings, necessitating rapid and accurate diagnosis to prevent complications. Recent advances in artificial intelligence (AI) have opened new possibilities for fracture detection using X-ray imaging. This study aimed to evaluate the performance of SmartUrgence® by Milvue, an AI tool designed to identify fractures in emergency cases, comparing its results to computed tomography (CT) scans, the gold standard in fracture diagnosis. Methods Patients referred from the Orthopedic Department after clinical suspicion of fractures underwent both AI-assisted X-ray imaging and CT scans. The study compared AI-generated X-ray assessments with CT scan findings to measure the AI tool’s accuracy, sensitivity, and specificity. Results SmartUrgence® demonstrated strong diagnostic metrics: specificity of 95.45%, sensitivity of 91.13%, positive predictive value (PPV) of 93.39%, and negative predictive value (NPV) of 93.85%. Overall accuracy reached 93.67%, with a balanced accuracy of 93.25%. Precision (0.934) and recall (0.911) were also high, reflecting the AI’s ability to minimize false positives and negatives. However, the AI tool’s performance remained significantly different from that of CT scans (P
OpenAI is reorganizing its research team responsible for shaping AI models’ personalities. This change follows leadership transitions and aims to refine the behavior of ChatGPT, affecting user interactions and model deployment strategies across various applications.
ProRata raises $40M to develop AI tools for publishers – SiliconANGLE
OpenAI is shuffling the team that shapes its AI models’ behavior, and its leader is moving on to another project within the company.
A new proposed class action suit accuses Apple of illegally using books to train its AI models. Here are the details.
