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New system cleans messy data tables automatically

According to surveys conducted by Anaconda and Figure Eight, data cleaning can take a quarter of a data scientist s time. Automating the task is challenging because different datasets require different types of cleaning, and common-sense judgment calls about objects in the world are often needed (e.g., which of several cities called “Beverly Hills” someone lives in). PClean provides generic common-sense models for these kinds of judgment calls that can be customized to specific databases and types of errors. PClean uses a knowledge-based approach to automate the data cleaning process: Users encode background knowledge about the database and what sorts of issues might appear. Take, for instance, the problem of cleaning state names in a database of apartment listings. What if someone said they lived in Beverly Hills but left the state column empty? Though there is a well-known Beverly Hills in California, there’s also one in Florida, Missouri, and Texas … and there’s a neigh

Stop talking about AI ethics It s time to talk about power

Stop talking about AI ethics. It’s time to talk about power. In his 20-year career, Crawford has struggled with the real-world effects of large-scale data systems, machine learning, and artificial intelligence. In 2017, along with Meredith Whittaker, she founded the AI ​​Now research institute as the first organization focused on studying the social implications of these technologies. He is currently a professor at USC Annenberg in Los Angeles, and a visiting professor of AI and justice at the École Normale Supérieure in Paris, as well as a senior researcher at Microsoft Research. Five years ago, Crawford says, he was still working on presenting data and neutral AI that was not a mere idea. Now the conversation has evolved, and AI ethics has flourished in its realm. He hopes his book will help him mature even more.

Book review: A Thousand Brains by Jeff Hawkins

LESSWRONG 96 Crossposted from the AI Alignment Forum. May contain more technical jargon than usual. Jeff Hawkins gets full credit for getting me first interested in the idea that neuroscience might lead to artificial general intelligence an idea which gradually turned into an all-consuming hobby, and more recently a new job. I m not alone in finding him inspiring. Andrew Ng claimed here that Hawkins helped convince him, as a young professor, that a simple scaled-up learning algorithm could reach Artificial General Intelligence (AGI). (Ironically, Hawkins scoffs at the deep neural nets built by Ng and others Hawkins would say: Yes yes, a simple scaled-up learning algorithm can reach AGI, but not

¿Qué se esconde detrás de la Inteligencia Artificial?

¿Qué se esconde detrás de la Inteligencia Artificial?
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Nine ways to improve your delivery fleet

Click the thumbs up >Demand for home delivery services has been growing for a number of years and the coronavirus pandemic has played a significant part in accelerating the trend. A report from ParcelHero in 2017 predicted that online shopping would account for around 40% of all UK retail by 2030. The latest Office for National Statistics figures show online sales had already reached 34.2% of the entire UK retail spend in January. As e-commerce becomes more popular, the pressure is on fleets and delivery companies to ensure goods arrive in a timely, cost-effective manner, with minimal environmental impact. We’ve outlined nine ways you can ensure your delivery fleet is fit for purpose.

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