{"componentChunkName":"component---src-templates-blog-post-js","path":"/blog/uc-berkeley-community-talks-artificial-intelligence/","result":{"data":{"site":{"siteMetadata":{"title":"No Frills News"}},"contentfulNfnPost":{"postTitle":"UC Berkeley community talks artificial intelligence","slug":"uc-berkeley-community-talks-artificial-intelligence","createdLocal":"2021-05-20 14:30:44.160259","publishDate":"2021-05-20 00:00:00","feedName":"Image Recognition","sourceUrl":{"sourceUrl":"https://www.dailycal.org/2021/05/20/uc-berkeley-community-talks-artificial-intelligence/"},"postSummary":{"childMarkdownRemark":{"html":"<p>AI systems aim to optimize a particular outcome that they have been instructed to prefer.\nAI systems are most commonly taught to perform these and other functions through a mechanism known as supervised learning, Levine said.\nBeyond teaching the systems, AI also entails studying what tools machines require to be capable of learning and having intelligence, Samarin added.\nLevine said his lab — the Robotics AI and Learning Lab — studies another type of AI learning mechanism known as reinforcement learning.\nAccording to Samarin, AI machines are trained by the data they are given, which are inherently biased.</p>"}}}},"pageContext":{"slug":"uc-berkeley-community-talks-artificial-intelligence"}}}