Tracer AI combats fraud, counterfeits and narrative attacks in ChatGPT – Help Net Security

Tracer AI combats fraud, counterfeits and narrative attacks in ChatGPT – Help Net Security

Tracer AI launched Tracer Protect for ChatGPT, a solution that protects brands from the reputational harm being propagated at machine scale via AI chatbots by bad actors. The rising popularity of generative AI (genAI) engines is driving the urgent and rapidly evolving brand security threat vector faced by enterprises. Tracer Protect for ChatGPT actively monitors…

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6 New ChatGPT Projects Features You Need to Know

6 New ChatGPT Projects Features You Need to Know

ChatGPT Projects just received its most significant update since launch, and the implications for productivity are substantial. OpenAI upgraded the Project feature, adding several important tools that should improve your productivity while using the chatbot. For those using Projects to organize research, manage code repositories, or coordinate complex creative work, these six new features fundamentally…

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An anomaly detection framework anyone can use

An anomaly detection framework anyone can use

Sarah Alnegheimish’s research interests reside at the intersection of machine learning and systems engineering. Her objective: to make machine learning systems more accessible, transparent, and trustworthy. Alnegheimish is a PhD student in Principal Research Scientist Kalyan Veeramachaneni’s Data-to-AI group in MIT’s Laboratory for Information and Decision Systems (LIDS). Here, she commits most of her energy…

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Designing a new way to optimize complex coordinated systems

Designing a new way to optimize complex coordinated systems

Coordinating complicated interactive systems, whether it’s the different modes of transportation in a city or the various components that must work together to make an effective and efficient robot, is an increasingly important subject for software designers to tackle. Now, researchers at MIT have developed an entirely new way of approaching these complex problems, using simple…

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Introducing the MIT Generative AI Impact Consortium

Introducing the MIT Generative AI Impact Consortium

From crafting complex code to revolutionizing the hiring process, generative artificial intelligence is reshaping industries faster than ever before — pushing the boundaries of creativity, productivity, and collaboration across countless domains. Enter the MIT Generative AI Impact Consortium, a collaboration between industry leaders and MIT’s top minds. As MIT President Sally Kornbluth highlighted last year, the…

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