No longer the subject of science fiction, Artificial Intelligence (AI) is profoundly transforming our daily lives. While computers have been mimicking human intelligence already for some decades using logic and if-then kind of rules, massive increases in computational power are now facilitating the creation of'deep learning' machines i.e. algorithms that permit software to train itself to recognize patterns and perform tasks, like speech and image recognition, through exposure to vast amounts of data. These deep learning algorithms are everywhere, shaping our preferences and behaviour. Facebook uses a set of algorithms to tailor what news stories an individual user sees and in what order. Bot activity on Twitter last year suppressed a protest against Mexico's now-president by overloading the hashtag used to organize the event.

A camera shield for a computer, which allows the user to block the camera when not in use. SAN FRANCISCO – So it looks as if the CIA could potentially break into most smart phone or computer networks, at least according to the stolen documents released by WikiLeaks on Tuesday. Whether you have anything to hide or not, it's a good reminder that in a digital age, keeping your life private requires some work. Here's a list of nine things everyone should be doing already to keep their information relatively confidential, plus four more for the truly paranoid. The most common way the CIA's cyber tools, and hackers for that matter, get into your devices are via phishing emails or texts.

This is my Machine Learning Flipboard. It is updated frequently and brings many issues to the forefront on the topic. Machine learning is perhaps the hottest of the AI subgroups since that is what we all want, our devices to learn our tendencies and help us then to either avoid the event or take advantage of it.

One area of business that stands to benefit from machine learning is customer service. Technologies like natural language processing and sentiment analysis can help companies better understand how to respond to customer feedback and questions. At the 2017 Google Cloud Next conference in San Francisco, Apoorv Saxena, a product manager on the Google Cloud team, hosted a breakout session explaining how organizations can use Google products to improve their customer service. He began by outlining the two different approaches that companies can take to machine learning. The first approach, Saxena said, is to use pre-trained models in the form of APIs to handle the machine learning needs of the company.

Artificial intelligence is everywhere: your smartphone, on streaming platforms such as Spotify and Netflix and even in some smart home appliances. But can the technology, which has seemingly caught the attention of most VCs across the world, be used in the realm of healthcare to drive efficiency and optimise patient outcomes? We take a look at some of the UK's most promising companies using AI to transform the healthcare space. No list of this kind would be complete without a mention of DeepMind, a British artificial intelligence company founded in 2010 and acquired by tech giant Google for a reported £400m four years later. DeepMind Health is leveraging machine learning technology – a form of AI – to boost the medical research field.

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"Exponential data problems is very challenging and it's why it's hard to apply machine learning to genomics" Last week at the Deep Learning Summit in San Francisco we had lots of great speakers including Brendan Frey, Co-Founder & CEO at Deep Genomics; Andrew Tulloch, Research Engineer at Facebook and Andrej Karpathy, Research Scientist at OpenAI, amongst many others. Incase you missed the presentation from Brendan Frey from Deep Genomics, we are sharing with you the full recording of the video below! Deep Genomics bring together machine learning and experimental biology. Their systems "predict the molecular effect of genetic variation, opening a new and exciting path to discovery for disease diagnostics and therapies." Brenden talks about the recently developed gene editing systems that has made it possible to edit our genomes.

March 9, 2017 --Physicist Stephen Hawking may be a proponent of artificial intelligence, but he has also been outspoken about the potential challenges it creates. In a recent interview, he sounded a similar tone, and offered a solution that conservatives my find hard to accept. Speaking to The Times of London to commemorate being awarded the Honorary Freedom of the City of London, a title that was conferred on him on Monday, Professor Hawking expressed optimism for the future. He added, however, that he is concerned about artificial intelligence (AI), as well as other global threats. "We need to be quicker to identify such threats and act before they get out of control," Hawking said.

Anyone who's ever flown a drone of any sort will tell you that sooner or later, you're going to crash it. The question is how exactly you will go about doing this, and how much of the drone will be functional after it's happened. Most flying animals somewhat frustratingly don't have this problem: Birds and insects run into things occasionally (or all the time, for small bugs), and just shrug it off and keep on going, thanks to their biological design, which includes both stiffness and flexibility. Now roboticists at the EPFL, in Lausanne, Switzerland, are relying on these same qualities to design a highly resilient quadrotor that's impressively difficult to destroy. There are three primary strategies for designing drones with impact resistance.

This post originally appeared on the Yhat blog. Yhat is a Brooklyn based company whose goal is to make data science applicable for developers, data scientists, and businesses alike. Yhat provides a software platform for deploying and managing predictive algorithms as REST APIs, while eliminating the painful engineering obstacles associated with production environments like testing, versioning, scaling and security. In this post, I'll detail how you can use K-Means clustering to help with some of the exploratory aspects of customer segmentation. I'll be walking through the example using Yhat's own Python IDE, Rodeo, which you can download for Windows, Mac or Linux here.