Explore the challenges and strategies for securing AI integration in manufacturing, focusing on governance, data privacy, and ...
CrowdStrike's 2025 data shows attackers breach AI systems in 51 seconds. Field CISOs reveal how inference security platforms ...
anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...
ABSTRACT: This paper proposes a structured data prediction method based on Large Language Models with In-Context Learning (LLM-ICL). The method designs sample selection strategies to choose samples ...
Adversarial prompting refers to the practice of giving a large language model (LLM) contradictory or confusing instructions to bypass its safety measures or to elicit a specific, often harmful or ...
AT&T is using a generative AI system to help control network operations, a move that the carrier said is a step toward greater network autonomy. Raj Savoor, VP of network analytics and automation at ...
Generative AI use has surged in workplaces—but it’s not always helpful. When used thoughtlessly, AI tools can produce what researchers call “workslop”: polished, passable output that lacks depth, ...
Background: Magnetic resonance (MR) guided radiation therapy combines high-resolution image capabilities of MRI with the precise targeting of radiation therapy. However, MRI does not provide the ...
Collaboration with outside counsel is still important, but gen AI adds a catalytic dimension to dispute resolution workflow, allowing in-house teams to get to the heart of a matter faster than ever ...
Forbes contributors publish independent expert analyses and insights. I am an MIT Senior Fellow & Lecturer, 5x-founder & VC investing in AI AI is big and powerful – many humans with even a passing ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback