Category: ChatGPT
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towards first-principles architecture design – The Berkeley Artificial Intelligence Research Blog
[ad_1] Deep neural networks have enabled technological wonders ranging from voice recognition to machine transition to protein engineering, but their design and application is nonetheless notoriously unprincipled. The development of tools and methods to guide this process is one of the grand challenges of deep learning theory. In Reverse Engineering the Neural Tangent Kernel, we…
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Chatbot, draw!
[ad_1] I'm interested in cases where it's obvious that chatbots are bluffing. For example, when Bard claims its ASCII unicorn art has clearly visible horn and legs but it looks like this: or when ChatGPT claims its ASCII art says "Lies" when it clearly says "Sip" or when ChatGPT claims its ASCII art says "Lies"…
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Digital Natives Seen Having Advantages as Part of Government AI Engineering Teams
[ad_1] By John P. Desmond, AI Trends Editor AI is more accessible to young people in the workforce who grew up as ‘digital natives’ with Alexa and self-driving cars as part of the landscape, giving them expectations grounded in their experience of what is possible. That idea set the foundation for a panel discussion at AI…
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Scientists Call for Climate Collaboration
[ad_1] A trio of top scientists is helping lead one of the most ambitious efforts in the history of computing — building a digital twin of Earth. Peter Bauer, Bjorn Stevens and Francisco “Paco” Doblas-Reyes agree that a digital twin of Earth needs to support resolutions down to a kilometer so a growing set of…
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MIT-Pillar AI Collective announces first seed grant recipients | MIT News
[ad_1] The MIT-Pillar AI Collective has announced its first six grant recipients. Students, alumni, and postdocs working on a broad range of topics in artificial intelligence, machine learning, and data science will receive funding and support for research projects that could translate into commercially viable products or companies. These grants are intended to help students…
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How to implement Adaptive AI in your business | by LeewayHertz | Jun, 2023
[ad_1] Artificial intelligence has emerged as a powerful technology that can drive substantial transformations in businesses across diverse industries. However, traditional machine learning models have struggled to keep pace with the dynamic nature of our rapidly evolving world, hindering their effectiveness in handling the influx of data generated by the Internet of Things (IoT) and…
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Keeping Learning-Based Control Safe by Regulating Distributional Shift – The Berkeley Artificial Intelligence Research Blog
[ad_1] To regulate the distribution shift experience by learning-based controllers, we seek a mechanism for constraining the agent to regions of high data density throughout its trajectory (left). Here, we present an approach which achieves this goal by combining features of density models (middle) and Lyapunov functions (right). In order to make use of machine…
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ChatGPT is terrible at cheating
[ad_1] Bonus: ChatGPT is terrible at cheating AI Weirdness: the strange side of machine learning You have landed upon a bonus post! In bonus posts, I include extras as a thank-you to AI Weirdness supporters. It’s your…
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Getting Government AI Engineers to Tune into AI Ethics Seen as Challenge
[ad_1] By John P. Desmond, AI Trends Editor Engineers tend to see things in unambiguous terms, which some may call Black and White terms, such as a choice between right or wrong and good and bad. The consideration of ethics in AI is highly nuanced, with vast gray areas, making it challenging for AI software engineers…
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Spatial Finance Uses AI to Estimate Risk, Analyze Claims
[ad_1] When making financial decisions, it’s important to look at the big picture — say, one taken from a drone, satellite or AI-powered sensor. The emerging field of spatial finance harnesses AI insights from remote sensors and aerial imagery to help banks, insurers, investment firms and businesses analyze risks and opportunities, enable new services and…