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Global Artificial Intelligence Market Analysis & Trends 2013-2016 - Industry Forecast to 2025 - Research and Markets

#artificialintelligence

DUBLIN--(BUSINESS WIRE)--Research and Markets has announced the addition of the "Global Artificial Intelligence Market Analysis & Trends - Industry Forecast to 2025" report to their offering. The Global Artificial Intelligence Market is poised to grow at a CAGR of around 44.3% over the next decade to reach approximately 23.4 billion by 2025. This industry report analyzes the global markets for Artificial Intelligence across all the given segments on global as well as regional levels presented in the research scope. It presents historical market data for 2013, 2014 revenue estimations are presented for 2015 and forecasts from 2016 till 2025. The study focuses on market trends, leading players, supply chain trends, technological innovations, key developments, and future strategies.


They're 400,000 strong and the Pentagon sees them as an emerging threat

Los Angeles Times

The Pentagon, the world's largest user of drones, has posted a new policy on signs outside the mammoth five-sided building: No Drone Zone. The signs, complete with a red slash through an image of a quadcopter drone, reflect America's growing concern about the proliferation of the small, inexpensive remote-controlled devices and the risk they pose to safety, security and privacy. Federal law prohibits flying a drone anywhere in and around Washington, an area known as the National Capital Region. Other communities and institutions across the country are wrestling with the potential threat from more than 400,000 private and commercial drones now registered to operate in the skies. The pilot of a commercial jetliner said his plane nearly collided with a drone while approaching Los Angeles International Airport on Friday afternoon, sparking a search by L.A. police and sheriff's officials for the owner of the unmanned aircraft.


The nine most frustrating mistakes that all video game players make

The Guardian

There are some mistakes that we make habitually. Even as we're doing it, a part of our brain is screaming: "This is absolutely the wrong thing to do." But somehow, before we know it, we've gone ahead done it; we've bought a ticket to see Batman v Superman. Sometimes those things happen in games too. It doesn't matter how experienced you are at Call of Duty, there are moments you think you can take out several incoming players at once by charging at them with your pistol and two bullets in the clip.


Tesla Model 3: Lower-price sedan unveiled by Elon Musk

The Independent - Tech

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


Theano Tutorial - Marek Rei

#artificialintelligence

This is an introductory tutorial on using Theano, the Python library. I'm going to start from scratch and assume no previous knowledge of Theano. However, understanding how neural networks work will be useful when getting to the code examples towards the end. I recently gave this tutorial as a talk in University of Cambridge and it turned out to be way more popular than expected. In order to give more people access to the material, I'm now writing it up as a blog post. I do not claim to know everything about Theano, and I constantly learn new things myself.


Is the End of Computer Literacy in Sight? - Smarter With Gartner

#artificialintelligence

The working relationship between people and technology is fundamentally shifting. Employees used to learn the language of business applications to use them. A world where Shift F9 created a new line item entry in their expenses. Since then, advances in user experience design have masked the language of technology with buttons and guided navigation. The user training toll has decreased but it has by no means gone away.


Drone coalition splits into commercial and consumer groups

USATODAY - Tech Top Stories

A drone flies Feb. 27, 2015, over Reims, northwestern France. SAN FRANCISCO -- The national group that represents companies that make and sell drones has split, with those focused on consumers leaving to form their own organization. Four drone companies left the Small UAV Coalition on Thursday. While still tightly aligned with the coalition on big issues, the break-away companies plan to create a still-unnamed group to very specifically focus on consumer issues, said GoPro spokesman Jeff Brown. As the drone market matures, a shifting of needs was inevitable. Larger companies such as Amazon's Prime Air, Alphabet's Google X and others are looking more at drones for delivery, cargo and more commercial uses.


Daily API RoundUp: Engine Yard, CloudFlare, Plumbr, DeepGram, Proxy Spider

#artificialintelligence

Every day, the ProgrammableWeb team is busy, updating its three primary directories for APIs, clients (language-specific libraries or SDKs for consuming or providing APIs), and source code samples. If you have new APIs, clients, or source code examples to add to ProgrammableWeb's directories, we offer forms (APIs, Clients, Source Code) for submitting them to our API research team. If there's a listing in one of our directories that you'd like to claim as the owner, please contact us at editor@programmableweb.com. Thirteen APIs have been added to the ProgrammableWeb directory in categories such as Natural Language Processing, Security, and Demographics. One highlight today is the DeepGram API which uses artificial intelligence to recognize speech, search for keywords, and categorize audio and video.


The US is crowdsourcing homemade bomb recipes to prevent terrorist attacks

#artificialintelligence

You don't need to be a chemist to make triacetone triperoxide, or TATP, the homemade explosive used in the bombs which killed 35 people and injured hundreds more last week in Brussels, according to one expert. Another calls the process "worryingly easy." The recipe can be found on the Internet, the ingredients -- hydrogen peroxide and acetone -- can be found at any drugstore, and can be mixed using regular kitchen equipment. "For the most part, IED components are commercial goods that are not subject to government export licences and whose transfer is far less scrutinised and regulated than the transfer of weapons," said a February report from the London-based Conflict Armament Research group, which traced the origins of more than 700 components recovered from ISIS bomb factories. In an attempt to head off attacks like those in Brussels, Boston, and scores of other places, the United States government has quietly asked the general public -- from credentialed professionals to "skilled hobbyists" -- to find ways of weaponizing "easily purchased, relatively benign technologies."


COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution

arXiv.org Machine Learning

Information diffusion in online social networks is affected by the underlying network topology, but it also has the power to change it. Online users are constantly creating new links when exposed to new information sources, and in turn these links are alternating the way information spreads. However, these two highly intertwined stochastic processes, information diffusion and network evolution, have been predominantly studied separately, ignoring their co-evolutionary dynamics. We propose a temporal point process model, COEVOLVE, for such joint dynamics, allowing the intensity of one process to be modulated by that of the other. This model allows us to efficiently simulate interleaved diffusion and network events, and generate traces obeying common diffusion and network patterns observed in real-world networks. Furthermore, we also develop a convex optimization framework to learn the parameters of the model from historical diffusion and network evolution traces. We experimented with both synthetic data and data gathered from Twitter, and show that our model provides a good fit to the data as well as more accurate predictions than alternatives.