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LLM agents have the ability to independently take advantage of one-day vulnerabilities.

Researchers at the University of Illinois Urbana-Champaign have found that AI agents utilizing GPT-4, a powerful language learning model (LLM), can effectively exploit documented cybersecurity vulnerabilities. These types of AI agents are increasingly playing a role in cybercrime. In particular, the researchers studied the aptitude of such AI agents to exploit "one-day" vulnerabilities, which are identified…

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Agents of LLM can independently take advantage of vulnerabilities within a day.

Researchers from the University of Illinois Urbana-Champaign (UIUC) have revealed that artificial intelligence (AI) agents powered by GPT-4 are capable of autonomously exploiting cybersecurity vulnerabilities. As AI models continue to progress, their dual functionalities can both be useful and potentially dangerous. For example, Google expects AI to be heavily involved in both committing and preventing…

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This AI article introduces a new Bayesian Deep Learning Model, integrated with Kernel Dropout, which is specially developed to improve the veracity of prediction in Medical Text Classification tasks.

Artificial Intelligence (AI) has brought significant transformation in healthcare by improving diagnostic and treatment planning efficiency. However, the accuracy and reliability of AI-driven predictions remain a challenge, due to the scarcity of data, which is common in healthcare. The specialized nature of medical data and privacy concerns often restrict the information available for training AI…

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Maintaining Confidentiality in Training-as-a-Service (TaaS): This is an innovative model in service computing that offers private and tailored machine learning model coaching for user-end devices.

On-Device Intelligence (ODI) is a promising technology bridging mobile computing and artificial intelligence (AI) for real-time personalized services without reliance on the network. While the technology shows promise in applications like medical diagnostics and AI-enhanced tracking, it faces challenges due to decentralized user data and privacy concerns. Traditional methods such as cloud-based computing raise privacy issues…

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Using Apple Vision Pro: Practical Applications and Unique Usage in the Biomedical Industry

Apple Vision Pro, a new technology platform from Apple, is set to significantly reshape the biomedical landscape. The innovative toolset is designed specifically for biomedical imaging and analysis, leveraging the high-quality camera and computation power of Apple devices. It allows users to capture highly detailed images to aid in disease diagnosis and treatment planning, which…

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