Category: ChatGPT
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Startup: AssemblyAI Represents New Generation Speech Recognition
[ad_1] By AI Trends Staff Advances in the AI behind speech recognition are driving growth in the market, attracting venture capital and funding startups, posing challenges to established players. The growing acceptance and use of speech recognition devices are driving the market, which according to an estimate by Meticulous Research is expected to reach $26.8…
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Matice Biosciences on Harnessing Regenerative Species and AI for Medical Breakthroughs
[ad_1] Scientists at Matice Biosciences are using AI to study the regeneration of tissues in animals known as super-regenerators, such as salamanders and planarians. The goal of the research is to develop new treatments that will help humans heal from injuries without scarring. On the latest episode of NVIDIA’s AI Podcast, host Noah Kravtiz spoke…
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Novo Nordisk to support MIT postdocs working at the intersection of AI and life sciences | MIT News
[ad_1] MIT’s School of Engineering and global health care company Novo Nordisk has announced the launch of a multi-year program to support postdoctoral fellows conducting research at the intersection of artificial intelligence and data science with life sciences. The MIT-Novo Nordisk Artificial Intelligence Postdoctoral Fellows Program will welcome its first cohort of up to 10…
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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…