There is no question that artificial intelligence (A.I.) is in the process of radically transforming the workplace. As a 15 billion industry expected to grow to more than 70 billion by 2020, it's clear that in the future, A.I. will change almost everything in the way that we live and work. And the future is here already; employees in tech-savvy organizations are actively engaged with bots as part of their everyday jobs. Studies show that up to 45 percent of professional activities can be automated, including the work of the highest-paid occupations such as managers, senior executives, and even CEOs. Rather than fear it, today's top innovative companies are embracing the potential of automation to reduce routine and mundane work and allow employees to focus on higher level tasks that require unstructured creativity and emotional empathy.

But the condition is so rare that it's still far from fully understood. Though it's undeniably horrific for those experiencing it, Cotard's Syndrome presents a fascinating conundrum for those studying the disorder. The condition's central contradiction -- how can someone articulate the thought that they don't exist? A 2013 case study of a Cotard's sufferer showed low activity in the brain network associated with awareness of the body. It's only one example (as with much of Cotard's Syndrome research, because the condition is so rare), but unpacking how the brains of those with the syndrome work offers hints as to how normally-functioning brains develop a sense of existence.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

Have you ever been in a situation where knowing another language would have come in handy? I remember standing on the platform at Tokyo Station watching my train to Nagano -- the last train of the day -- pulling away without me on it. What ensued was a frustrating hour of gestures, confused smiles, and head-shaking as I wandered the station looking for someone who spoke English (my Japanese is unfortunately nonexistent). It would have been really helpful to have a bilingual pal along with me to translate. Bilingual pals can be hard to find, but Google's new translation software may be an equally useful alternative.

This weeks post is on Natural Language Processing, a computer science field that is now closely linked into the Data Science and Machine Learning worlds, especially since the explosion of AI. Natural Language Processing is the concept of analysing natural language, wether thats text, speech or whatever, and giving it some meaning specifically to aid with human and computer interaction. Essentially, it is trying to quantify grammers, words or phrases so that word types, relationships and even sentiment can be identified. The Stanford NLP team have done some great work within this area and have produced some fantastic products that give you as a developer, data scientist or the ability to extract meaning from human language, programatically! I used the Stanford Core NLP recently to analyse technology papers from the internet to pull out contextual information such as peoples names mentioned in the document, companies and even monetary values and indexed them within Elasticsearch along with the original document.

In an effort to reflect consumers growing dependency on customized mobile interactions, Google s new branded smartphone, Pixel, contains a fully integrated artificial intelligence assistant alongside complete virtual reality compatibility. During the live stream of yesterday s product unveiling event, Google lifted the curtain on its newest machine learning and AI capabilities, revealing its answer to Apple s virtual assistant, Siri, as well as its latest offering into the smart home device space. The search giant s executives highlighted the world s ongoing shift from being mobile-first to AI-first, signaling that other heavyweights in the consumer technology sector including Apple and Amazon could face stark competition from Google in this respect. We re at a seminal moment in computing, said Sundar Pichai, CEO of Google, during yesterday s live stream. Our goal is to build a personal Google for each and every user.

Time for "How Scared Should I Be?" the column that quantifies the scariness of everything under the sun and teaches you how to allocate that most precious of natural resources: your fear. The singularity is a hypothesis from computer scientist and novelist Vernor Vinge, who said in 1993 that technology is about to cause a shift as dramatic as the emergence of life on Earth, and that afterward "the human era will be ended." By this he meant that, for better or worse, computers will be running shit. Some futurists, like Ray Kurzweil, think that when the singularity hits, it's going to be fucking awesome. Ever-improving machines will start repairing our cells from the inside, thinking for us whenever we don't want to think, and generally making everything better.

Humans have so far failed to keep up with the scale and sophistication of cyber attacks -- so security companies are now starting to put their faith in artificial intelligence to protect networks from hackers. From Apple to Twitter, tech companies are snapping up artificial intelligence start-ups and using the technology to do everything from predicting customer behaviour to interacting with users via virtual personal assistants. For security companies, the growth of more sophisticated artificial intelligence promises the opportunity to catch up with hackers, who experts say have the upper hand. For example, as the industry struggles to find qualified engineers, many companies are turning to artificial intelligence to supplement their workforces. Tomer Weingarten, chief executive at security software provider SentinelOne, says cyber security is one of artificial intelligence's most promising applications. "It can look at all the behaviours and interactions that happen on a given machine, the malware [cyber attack software], what happens when someone is attacking you, to learn what'badness' looks like, how an attacker behaves and what they will do once they try to compromise the device," he says.

"Amy" saves entrepreneur Gillian Morris about 43 productive hours a year. Morris, the founder of Hitlist, a travel app that alerts users to cheap flights, has been using Amy, a virtual assistant from x.ai for about two years, to schedule meetings. To ask for Amy's help, Morris sends an email to the person or people she wants to meet with and copies Amy. From there, Amy takes Morris out of the email chain and handles the back and forth about dates and times. Morris estimates Amy schedules about 10 meetings for her a week, and spares her from having to read or respond to any related emails herself.

IBM Research and the Department of Brain and Cognitive Sciences at the Massachusetts Institute of Technology have joined forces to further develop the scientific field of machine vision – a core aspect of artificial intelligence. Big Blue and MIT will build the IBM-MIT Laboratory for Brain-inspired Multimedia Machine Comprehension, or BM3C, in Cambridge, Mass. Together they plan to develop cognitive computing systems that mimic the human ability to understand and integrate input from multiple sources for use in a variety of computer applications in industries such as healthcare, education, and entertainment. MIT researchers will collaborate with IBM scientists and engineers who will provide technology expertise and advances from the IBM Watson platform. The BM3C will address technical challenges around both pattern recognition and prediction methods in the field of machine vision that are currently impossible for machines alone to accomplish.