A new artificial intelligence could help sort normal cells from diseased cells, researchers report in a new study. The Human Cell Atlas is a deep learning algorithm method that uses single-cell RNA sequencing to distinguish activated and deactivated cells within humans at any point, according to a study published Wednesday in Nature Communications. The ability to pinpoint healthy cells from diseased cells at a given time within a person's life cycle. "From a methodological point of view, this represents an enormous leap forward. Previously, such data could only be obtained from large groups of cells because the measurements required so much RNA," Maren Büttner, a researcher at the Institute of Computational Biology of the Helmholtz Zentrum München, said in a news release.

"Artificial intelligence has firmly entered our daily lives. AI used by adults, kids, teenagers, students in many parts of everyday tasks. It makes our lives easier and it's a fact." For decades, technology has been the centerpiece of invention and innovation, and would probably remain so even in the unforeseeable future. The fact that we can access information anywhere, and at any time, is not something to be taken for granted.

Published by the Royal Society.

Almost everything you hear about artificial intelligence today is thanks to deep learning. This category of algorithms works by using statistics to find patterns in data, and it has proved immensely powerful in mimicking human skills such as our ability to see and hear. To a very narrow extent, it can even emulate our ability to reason. These capabilities power Google's search, Facebook's news feed, and Netflix's recommendation engine--and are transforming industries like health care and education. But though deep learning has singlehandedly thrust AI into the public eye, it represents just a small blip in the history of humanity's quest to replicate our own intelligence.

Note: This article is based on a transcript from The Dr. Data Show. AI is a big fat lie. Artificial intelligence is a fraudulent hoax -- or in the best cases it's a hyped-up buzzword that confuses and deceives. The much better, precise term would instead usually be machine learning – which is genuinely powerful and everyone oughta be excited about it. On the other hand, AI does provide some great material for nerdy jokes.

Abstract: Discovering and exploiting the causal structure in the environment is a crucial challenge for intelligent agents. Here we explore whether causal reasoning can emerge via meta-reinforcement learning. We train a recurrent network with model-free reinforcement learning to solve a range of problems that each contain causal structure. We find that the trained agent can perform causal reasoning in novel situations in order to obtain rewards. The agent can select informative interventions, draw causal inferences from observational data, and make counterfactual predictions.

Artificial Intelligence is the notion of machines that exhibit intelligence and mimic cognitive functions that are usually associated with humans such as learning, reasoning, predicting, planning, recognising, and even problem-solving. Now, AI tools are being increasingly integrated into technological solutions and now it can even be induced in to generate lyrics that match the style of unique music artists. Now, the researchers at the University of Waterloo, Canada, have recently achieved this feat by developing a system that can generate such song lyrics. According to Olga Vechtomova, University of Waterloo, one of the minds behind this innovation presses on the fact that the base of the research is the ultimate result of curiosity that imbibes in each and every human being and that is to know whether a machine can generate lines that could sound like the lyrics of my favourite music artists. While working on text generative models, The research team founded that neural networks had the capability to generate some of the most creative and impressive lines of text.

Are you guys interested in making your theoretical foundations of Deep Learning, Machine Learning, and Reinforcement Learning strong enough so that you can do ML with confidence? I have compiled a list of awesome lectures starting from 2012-till date, and the list is continuously growing. Please find the courses in my GitHub repo Deep Learning Drizzle. You're welcome to share it with anyone who might be curious to know these techniques in depth. Feel free to star or fork it & also please send a PR if you have some suggestions!

It seems self-defeating for the former head of Oculus Stories Studios and current founder and executive producer of VR startup Fable to declare AI, not virtual reality, the next big art form. Especially considering that, aside from him, nobody knows what that means. TNW talked to Fable founderEdward Saatchi about his company's pivot away from focusing on just making stories in VR. He told us that the future of entertainment was "virtual beings," non-living characters powered by AI that interact with humans. According to him, we'll never be friends with them because they're servants.

YouTube said Friday it is retooling its recommendation algorithm that suggests new videos to users in order to prevent promoting conspiracies and false information, reflecting a growing willingness to quell misinformation on the world's largest video platform after several public missteps. In a blog post that YouTube plans to publish Friday, the company said that it was taking a "closer look" at how it can reduce the spread of content that "comes close to -- but doesn't quite cross the line" of violating its rules. YouTube has been criticized for directing users to conspiracies and false content when they begin watching legitimate news. The change to the company's recommendation algorithms is the result of a six-month-long technical effort. It will be small at first -- YouTube said it would apply to less than 1 percent of the content of the site -- and affects only English-language videos, meaning that much unwanted content will still slip through the cracks.