As robots continue to play a growing role in our daily lives, white collar jobs in many sectors including accounting and financial operations are quickly becoming a thing of the past. Business are gravitating towards software to automate bookkeeping tasks, saving considerable amounts of both time and money. In fact, since 2004, the number of full-time finance employees at large companies has declined a staggering 40% to roughly 71 employees for every $1 billon of revenue, down from 119 employees, according to a report by top consulting firm The Hackett Group. These numbers show that instead of resisting change, companies are embracing the efficiencies of this new technology and exploring how individual businesses can leverage automation and, more importantly, artificial intelligence – aka robots. As technology becomes more sophisticated and particularly with the use of Artificial Intelligence (AI) we're able to automate multiple steps in a process.

Although China could initially only observe the advent of the Information-Technology Revolution in Military Affairs, the People's Liberation Army might presently have a unique opportunity to take advantage of the military applications of artificial intelligence to transform warfare. When the United States first demonstrated its superiority in network-centric warfare during the first Gulf War, the PLA was forced to confront the full extent of its relative backwardness in information technology. Consequently, the PLA embarked upon an ambitious agenda of "informatization" (信息化). To date, the PLA has advanced considerably in its capability to utilize information to enhance its combat capabilities, from long-range precision strike to operations in space and cyberspace. Currently, PLA thinkers anticipate the advent of an "intelligentization Revolution in Military Affairs" that will result in a transformation from informatized ways of warfare to future "intelligentized" (智能化) warfare.

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.