Editor's take: The glitch illustrates the complexity of integrating generative AI systems with real-time search data. Scraping search results across public infrastructures raises both technical and ...

The federal government has long leaned on tech companies to fork over user data to aide in its law enforcement investigations. However, while social media companies, search engines, and other tech ...

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Abstract: The Medical Segment Anything Model (MedSAM) has demonstrated strong performance in medical image segmentation, attracting increasing attention in the medical imaging domain. However, as with ...

You’ve likely found yourself saving your best prompts in scattered text files, retyping the same instructions across different AI platforms, and struggling to manage complex, multi-step tasks. This ...

Abstract: Recent progress has shown great potential of visual prompt tuning (VPT) when adapting pre-trained vision transformers to various downstream tasks. However, most existing solutions ...

Attackers are increasingly exploiting generative AI by embedding malicious prompts in macros and exposing hidden data through parsers. The switch in adversarial tactics — noted in a recent State of ...

The growing adoption of large language models (LLMs) in enterprise workflows has introduced a new class of adversarial techniques: indirect prompt injection. Indirect prompt injection can be used ...

The use of Large Language Models (LLMs) for mental health is a topic of pressing concern 1. There are both great unmet mental health needs for which well-designed, supervised AIs could provide ...

Prompt engineering—crafting the sharpest queries to get the best answers out of ChatGPT or another generative AI chatbot—is a new type of job. So what kinds of skills do you need to get hired? To find ...