Month: July 2023
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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…
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Day of AI curriculum meets the moment | MIT News
[ad_1] MIT Responsible AI for Social Empowerment and Education (RAISE) recently celebrated the second annual Day of AI with two flagship local events. The Edward M. Kennedy Institute for the U.S. Senate in Boston hosted a human rights and data policy-focused event that was streamed worldwide. Dearborn STEM Academy in Roxbury, Massachusetts, hosted a student…
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Flash Sale: Unlock Your AI Potential Today! 🚀 | by Stefan Kojouharov | Jun, 2023
[ad_1] Dear AI Innovators, Exciting news! Our highly anticipated Flash Sale is now live, offering you an exclusive opportunity to unlock your AI potential like never before. Don’t miss out on this limited-time offer to supercharge your AI skills and take your development journey to new heights! Here’s why you should dive right in: Enhance…
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Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulation – The Berkeley Artificial Intelligence Research Blog
[ad_1] Reinforcement learning provides a conceptual framework for autonomous agents to learn from experience, analogously to how one might train a pet with treats. But practical applications of reinforcement learning are often far from natural: instead of using RL to learn through trial and error by actually attempting the desired task, typical RL applications use…