For guys who game, researchers have good news and bad news. The good news is that guys who play video games "chronically," which at least for the purpose of one new study is defined as more than an hour a day, are less likely to ejaculate prematurely than their non-chronic gaming counterparts. The bad news, researchers report in the Journal of Sexual Medicine, is that they're also less likely to be interested in sex. Researchers can't fully explain what's happening--it might have something to do with increased stress levels from playing--but they suspect both findings are related, reports Vice's Broadly. "I think that video games might be similar to physical exercise in these regards: occasional use might have beneficial effects, but when some threshold between'occasional use' and'chronic abuse' is crossed, ill effects might occur," says the lead author.

TVAddons, widely considered the number one library for Kodi add-ons, has mysteriously gone offline. The site shut down last week, without explanation, and hasn't returned. Its Facebook page has also disappeared. TVAddons hosted Exodus, and there are fears that it could stop working in the future. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph.

Last week I looked at Singular Value Decomposition unsupervised machine learning technique as part of a four-part series on data science concepts for beginners. Remember that unsupervised machine learning is data driven rather than task driven (supervised machine learning). Today we'll be staying in the dimension reduction part of unsupervised machine learning as shown in the Cheat-sheet below and will talk about principal component analysis or PCA. In a similar manner to SVD, PCA is trying to reduce the number of dimensions for data exploration. The PCA method is trying to maximize variance of the data to make a predictive model and converts a set of possibly correlated variables into a set of linearly uncorrelated variables.

Contrary to the bleak picture painted by critics, a new IDC study of more than 1,000 organisations worldwide shows that AI will be in the workplace "sooner than we think", and will have a positive impact on productivity, revenues, and job creation. From 2017 to 2021, the Salesforce-sponsored study predicts that AI-powered CRM activities will boost business revenue by $1.1 trillion, and create more than 800,000 direct jobs and 2 million indirect jobs globally, surpassing those lost to AI-driven automation. The business revenue boost will be led primarily by increased productivity and lowered expenses due to automation, which account for $121 billion and $265 billion of the $1.1 trillion sum, respectively, according to the study. Keith Block, vice chairman and COO at Salesforce, said the impact of AI for the CRM market will be "profound" in that it will enable "new levels of productivity". "The convergence of increased computing power, big data, and breakthroughs in machine learning have meant artificial intelligence is set to transform the lives of workers, especially those that are already using CRM technology, by helping them be more productive in their development of more meaningful connections with customers," added Robert Wickham, RVP of Innovation and Digital Transformation at Salesforce APAC.

With discussion around artificial intelligence (AI) at an all-time high, MACHINA Summit.AI is a prestigious new AI, analytics and IoT event launching at IP EXPO Europe, and co-located with Cyber Security Europe, in London on the 4-5 October 2017 at ExCeL London. MACHINA Summit.AI will bring together global visionaries, experts, leading businesses and revolutionary technology demonstrations. The two day show will enable attendees to explore how all artificial intelligence technologies, including machine learning, deep learning and cognitive computing, along with analytics and IoT, are starting to affect the enterprise now and how the future will belong to those who evolve with technology. Without doubt the topics of artificial intelligence (AI), data analytics and IoT have been the hottest topics in technology over the past 12 months. But beyond the hype questions still exist on the real applications for these technologies.

The key takeaway from Tuesday's RobotLabNYC forum, on "Exploring The Autonomous Future," was humans are the key to robot adoption. Howard Morgan of First Round Capital expressed to the audience of more than 100 innovators working within the automation ecosystem, the necessity of embracing "entrepreneurial marketing" to reach customers. Tom Ryden echoed Morgan's sentiment in his presentation about Mass Robotics, conveying his startups' frustrations with the pace of adoption. Dr. Eric Daimler, formerly of the Obama Administration, concluded the evening succinctly by exclaiming, "we only adopt what we trust." Trust is key for crossing the chasm.

While machine learning algorithms change IT, you might be surprised at the algorithms at work in your nondigital life as well. This complimentary guide helps readers determine the pros, cons and key considerations of DevOps by offering up 5 important questions you should be asking in order to create a realistic DevOps assessment. You forgot to provide an Email Address. This email address doesn't appear to be valid. This email address is already registered.

The latest release from Artesian Solutions builds on its leading enterprise engagement platform to establish the foundations of an Artificial Intelligence future that promises a revolution in the effectiveness of sales and commercial teams. Launched today, the latest release includes an Artificially Intelligent'Insight Agent' - the first step in a series of intelligent chat bots aimed at automating many of the tasks carried out by B2B professionals daily. With the use of Artificial Intelligence techniques such as advanced natural language processing and behavioural analytics, Insight Agent monitors an individuals or company opportunity pipeline, continually looking for triggers from over 1 billion news and commercially relevant social media articles every year, learning and filtering based on individual user requirements. This allows it to deliver commercially valuable and immediately actionable insights, telling the user what they need to know and what action they need to take. The result is a step change in commercial productivity and customer engagement resulting in improved sales forecasting and increased pipeline velocity.

JERUSALEM (Reuters) - European self-driving car company Vedecom Tech and Israel's Karamba Security said on Monday they are partnering in developing fully autonomous cars that will be deployed for limited use in certain European cities within the coming year.

The experts predict robots will not be taking over as surgeons until around 2053, while it could take 43 years before machines are competing with mathematicians for space in top academic journals. They also predict AI computers could be churning out New York Times bestselling novels by 2049. In reality, machines are already dipping their digital fingers into this field too. Google has been training its AI on romantic novels and news articles in an attempt to help it write more creatively, and an AI bot called Benjamin can write short sci-fi film scripts – even if they don't entirely make sense. Then there is the work of Automated Insights, which has created algorithms that churn out millions of personalised news, finance and sports articles for companies like Reuters and the Associated Press. Adam Smith, chief operating officer at Automated Insights, says this technology is intended to complement, rather than replace, human expertise. "Automated journalism is creating content that would not have existed before, but humans still need to add context to those stories."