Month: July 2023
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GitHub Topics Scraper | Python Web-Scraping
[ad_1] Web scraping is a technique used to extract data from websites. It allows us to gather information from web pages and use it for various purposes, such as data analysis, research, or building applications. In this article, we will explore a Python project called “GitHub Topics Scraper,” which leverages web scraping to extract information…
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Why do Policy Gradient Methods work so well in Cooperative MARL? Evidence from Policy Representation
[ad_1] In cooperative multi-agent reinforcement learning (MARL), due to its on-policy nature, policy gradient (PG) methods are typically believed to be less sample efficient than value decomposition (VD) methods, which are off-policy. However, some recent empirical studies demonstrate that with proper input representation and hyper-parameter tuning, multi-agent PG can achieve surprisingly strong performance compared to…
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Bonus: Chatbot draws more stuff
[ad_1] Bonus: Chatbot draws more stuff 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 financial…
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How Accountability Practices Are Pursued by AI Engineers in the Federal Government
[ad_1] By John P. Desmond, AI Trends Editor Two experiences of how AI developers within the federal government are pursuing AI accountability practices were outlined at the AI World Government event held virtually and in-person this week in Alexandria, Va. Taka Ariga, chief data scientist and director, US Government Accountability Office Taka Ariga, chief data scientist and director at the US Government…
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Startup Serves Food Industry an AI Smorgasbord
[ad_1] It worked like magic. Computer vision algorithms running in a data center saw that a disease was about to infect a distant wheat field in India. Sixteen days later, workers in the field found the first evidence of the outbreak. It was the kind of wizardry people like Vinay Indraganti call digital transformation. He’s…
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Envisioning the future of computing | MIT News
[ad_1] How will advances in computing transform human society? MIT students contemplated this impending question as part of the Envisioning the Future of Computing Prize — an essay contest in which they were challenged to imagine ways that computing technologies could improve our lives, as well as the pitfalls and dangers associated with them. Offered…
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The Rise Of AI In The Banking And Finance Industry: Use Cases And Applications | by LeewayHertz | Jun, 2023
[ad_1] Artificial Intelligence (AI) has emerged as a transformative technology across various industries, and banking is no exception. In recent years, banks have increasingly adopted AI to enhance operations, improve customer experiences, and optimize decision-making processes. By leveraging AI capabilities, banks can analyze vast amounts of data, identify patterns, and generate valuable insights that aid…
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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…