The global healthcare Natural Language Processing (NLP) market is expected to grow from 1.10 billion in 2015 to 2.67 billion by 2020, according to a new report. "Natural Language Processing Market for Health Care and Life Sciences Industry by Type (Rule-Based, Statistical, and Hybrid NLP Solutions) – Worldwide Forecast and Analysis to 2015 – 2020" is published by MarketsandMarkets, The explosive growth in healthcare and life sciences industries, with their vast troves of unstructured clinical data in EHRs, are the main market drivers. As the report describes it, NLP technologies assist machines in understanding the language used by humans to communicate both reading and writing. This form of communication assists the computer in performing various other additional tasks. NLP techniques extract important information from the vast amount of clinical data and analyze it for enhanced processing and analytics.

This article focuses not what the athletes are putting into their bodies, but what they are putting on their bodies and shows how technology affects gears used by them. An hour long lecture by Demis Hassabis, the CEO of DeepMind, where he discusses what is happening at the cutting edge of AI research, including the recent historic AlphaGo match, and its future potential impact on fields such as science and healthcare, and how developing AI may help us better understand the human mind. Here, Margaret Boden, a Professor of cognitive science at the University of Sussex, examines what it means to be "creative" and whether we can ever translate this into our computers. Steven Pinker believes there's some interesting gender psychology at play when it comes to the robopocalypse. Could artificial intelligence become evil or are alpha male scientists just projecting?

Even a decade ago, talking to your computer was probably a sign that you'd been working too hard and could do with a lie down. Today, no such stigma applies. That's because chatbots -- the conversational agents capable of simulating intelligent conversations with human users -- have made some massive leaps forward. From changing the way kids learn in schools to picking you out the perfect meal this evening, here are the seven of the most interesting chatbots doing the rounds at the moment. From MOOCs (Massive open online courses) to the use of iPads in schools, there's no doubt that technology is changing the way that we learn.

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

You can't offend a bot. Most of them don't have enough of a personality to be offended. Not only that, few of the bots available today are smart enough to debate with anyone. There are plenty of bot development tools, an immense amount of venture capital, and a massive number of bots. But no one wants to speak to a dumbot.

Exploration of hydrocarbon resources is a highly complicated and expensive process where various geological, geochemical and geophysical factors are developed then combined together. It is highly significant how to design the seismic data acquisition survey and locate the exploratory wells since incorrect or imprecise locations lead to waste of time and money during the operation. The objective of this study is to locate high-potential oil and gas field in 1: 250,000 sheet of Ahwaz including 20 oil fields to reduce both time and costs in exploration and production processes. In this regard, 17 maps were developed using GIS functions for factors including: minimum and maximum of total organic carbon (TOC), yield potential for hydrocarbons production (PP), Tmax peak, production index (PI), oxygen index (OI), hydrogen index (HI) as well as presence or proximity to high residual Bouguer gravity anomalies, proximity to anticline axis and faults, topography and curvature maps obtained from Asmari Formation subsurface contours. To model and to integrate maps, this study employed artificial neural network and adaptive neuro-fuzzy inference system (ANFIS) methods. The results obtained from model validation demonstrated that the 17x10x5 neural network with R=0.8948, RMS=0.0267, and kappa=0.9079 can be trained better than other models such as ANFIS and predicts the potential areas more accurately. However, this method failed to predict some oil fields and wrongly predict some areas as potential zones.

Most of machine learning approaches have stemmed from the application of minimizing the mean squared distance principle, based on the computationally efficient quadratic optimization methods. However, when faced with high-dimensional and noisy data, the quadratic error functionals demonstrated many weaknesses including high sensitivity to contaminating factors and dimensionality curse. Therefore, a lot of recent applications in machine learning exploited properties of non-quadratic error functionals based on $L_1$ norm or even sub-linear potentials corresponding to quasinorms $L_p$ ($0

OK, they didn't literally run for any hills. But the EFF wrote a very panicked blog post warning of the dangers to come if an AI trained to hack wasn't parented properly. The histrionic post made a few headlines, but missed the point of the competition entirely. If the AI playing Def Con's all-machine Capture the Flag had feelings, they would've been very hurt indeed. The seven different AI agents were projects of teams that hailed from around the world, coming together to compete for a 2 million purse.

Do you have the talent to join multi-award winning startup WeFarm? We are a unique social enterprise providing a vital service for the world's 500 million smallholder farmers who live and work without internet access. This pioneering, peer-to-peer platform enables farmers to access crowdsourced information by SMS, creating social impact on a groundbreaking scale and generating a game-changing data feed through the use of cutting edge AI techniques. In just one year WeFarm has scaled to more than 72,000 farmers across Kenya, Uganda and Peru, has facilitated over 11.5 million interactions and featured in the FT, Forbes, Wired.co.uk, as well as winning awards from Google's Impact Challenge, The Venture and the European Commission's Ideas From Europe. With an ambitious goal to reach 1 million farmers in the next 12 months, we are looking for a talented Developer to join the team and support this growth.

Few household chores are as infuriating as spending an age on the phone to complain to your bank, recover a lost password or answer some minor financial query. Hold music, press number 4 for an option that is only half-related to your problem, more hold music. Banks are under pressure to cut costs while improving service – which is crucial to keeping customers and improving the industry's battered reputation. One hope lies in new technology and, in particular, robots. Several British banks are ploughing money into artificial intelligence (AI) in the hope that it could start helping customer service behind the scenes in the coming months and soon be let loose on the public.