Artificial intelligence (AI) is rapidly transforming various industries, from healthcare to fintech. Companies are implementing machine learning systems, such as LLMs, to streamline workflows and save time. However, amidst this rapid advancement, an important question arises: How can we ensure that AI systems are not making decisions based on hallucinations? In healthcare, for example, AI
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The world of artificial intelligence (AI) is characterized by a mix of excitement and fear. On one hand, companies and investors are investing billions into AI technology, with interest skyrocketing since the release of the conversational chatbot ChatGPT by Microsoft-backed OpenAI. Many experts are hailing this as a tipping point for AI and predicting that
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The global economy has faced numerous challenges in recent years, including the impact of COVID-19, inflation, natural disasters, and war. These events, coupled with the surge in consumer demand, labor shortages, and supply chain issues, have presented ongoing challenges for manufacturing enterprises in 2023. Shilpa Prasad, the director of new ventures at LG, discussed these
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In an effort to address hygiene concerns associated with touch-based interfaces, engineers have been exploring alternative ways to operate devices without physical contact. Touchscreens and other commonly used input methods are often laden with bacteria and germs, making touchless interfaces a more hygienic option. To advance this technology, researchers from the Dutch Organization for Applied
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The United Nations Human Rights Council has recently expressed the need for transparency and responsible use of artificial intelligence (AI). With the rise of generative AI content, authorities are grappling with the challenge of regulating chatbots and ensuring that AI technology does not pose a threat to humanity. In its first examination of AI development,
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