AI

The Seven Deadly Sins of AI Predictions – MIT Technology Review

https://www.technologyreview.com/s/609048/the-seven-deadly-sins-of-ai-predictions/?utm_campaign=add_this&utm_source=twitter&utm_medium=post We are surrounded by hysteria about the future of artificial intelligence and robotics—hysteria about how powerful they will become, how quickly, and what they will do to jobs. A story in ­MarketWatch that said robots will take half of today’s jobs in 10 to 20 years. The claims are ludicrous. Today’s robots and AI systems are incredibly narrow in what they

AI hype has peaked so what’s next? | TechCrunch

https://techcrunch.com/2017/09/30/ai-hype-has-peaked-so-whats-next/?ncid=rss&utm_source=tcfbpage&utm_medium=feed&utm_campaign=Feed%3A+Techcrunch+%28TechCrunch%29&utm_content=FaceBook&sr_share=facebook Year 2017 has been the year of AI, reaching a fever pitch of VC and corporate investment. But, as with any hot technology, AI is outgrowing this phase of experimentation and hype. According to research firm Gartner, we’re past the “peak of inflated expectations.”  Next up is a necessary recalibration of the space—one that

Should I use Machine Learning? – SC5

https://sc5.io/posts/use-machine-learning/?utm_content=59645558&utm_medium=social&utm_source=facebook Did you know that without a single hour invested in development, you can approximate the usefulness of machine learning techniques in your product or digital service by answering two simple questions. Read and learn!