Flick on the light when a family of cockroaches are scuttling across your kitchen floor and they'll swiftly disperse – only to regroup in the walls. To understand how cockroaches – and other animals – work as a group, researchers are sending in robots. These can help reveal group dynamics. Bee bots have been used to study waggle dances in honeybee hives, for example. Others are looking at how robots can infiltrate colonies and influence behaviour.

Machine Learning and Functional Programming are both very hot topics these days; they are also both rather intimidating for the beginner. In this workshop, we'll take a 100% hands-on approach, and learn practical ideas from Machine Learning, by tackling real-world problems and implementing solutions in F#, in a functional style. In the process, you will see that once you get beyond the jargon, F# and Machine Learning are actually not all that complicated – and fit beautifully together. So if you are curious about what Machine Learning is about, and want to sharpen your developer skills, come with your laptop and… let's hack together!

Seal Software announced today that its first meetup session on advanced concepts in Machine Learning (ML) and Natural Language Processing (NLP) was a huge success, with additional sessions being scheduled to meet high attendance demand. The meetup, led by Seal's ML team based in Gothenburg, Sweden, was designed to assemble some of the best minds in ML, describe and explore the newest techniques in the field, and help cultivate the next generation of advancements in this area. Interest in the meetup was also driven by Seal's strong ties to Chalmers University in Gothenburg, a leading technology center in the advancement of data science. The meetup was met with overwhelmingly high demand, with more than twice the number of registrants that could be accommodated. Because of this, Seal plans to schedule additional sessions in order to open the discussion to all community members interested in advanced technology.

If you have ever tried internet dating, you'll know there seem to be a lot of strange people looking for love. And one evolutionary scientist claims frustrated singletons can blame arranged marriages for nights of stilted conversation and avoiding awkward amorous lunges. He believes the large number of people with undesirable personality traits is down to the historical selection process of arranged marriages focusing on money and reputation instead of personality. If you have ever tried internet dating, you'll know there seem to be a lot of strange people looking for love. Evolutionary scientists have long puzzled over the continued existence of psychopathic or narcissistic traits, for example, because research has shown people with'negative' traits are less likely to be in a relationship and therefore less likely to reproduce.

First the machines came for the menial jobs. Since then, they've climbed the corporate ladder and now sit on the board of directors of at least one venture capital firm in Japan. But that's Japan, you say. Well, if you thought your job was safe, you might want to think again. In the cover story of this week's MoneyWeek magazine, Matthew Partridge gets to grips with the nuts and bolts of what's driving the rise of artificial intelligence, or AI for those in the know.

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.

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.

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.

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

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.