A silver BMW 5 Series is weaving through traffic at roughly 120 kilometers per hour (75 mph) on a freeway that cuts northeast through Bavaria between Munich and Ingolstadt. I'm in the driver's seat, watching cars and trucks pass by, but I haven't touched the steering wheel, the brake, or the gas pedal for at least 10 minutes. The BMW approaches a truck that is moving slowly. To maintain our speed, the car activates its turn signal and begins steering to the left, toward the passing lane. Just as it does, another car swerves into the passing lane from several cars behind. The BMW quickly switches off its signal and pulls back to the center of the lane, waiting for the speeding car to pass before trying again.

Humans have always had a complicated relationship with new "technologies." From awe to fear, centuries ago, Plato even worried that writing would adversely affect people's memories. Modernity has had a particular curiosity regarding artificial intelligence (AI). From Terminator-style killer robots to emotive humanoids, the mention of AI brings to mind the many silver screen renderings of some future civilization. More likely than any of these, however, is the reality that AI will probably turn out to be another commonplace technology that, while novel at first, will end up integrated into our everyday lives.

An artificial intelligence "chatbot" from Taco Bell now lets you order a meal in a smartphone text exchange that might look something like this: TacoBot: Hello there, I'm your TacoBot, I can help you order a meal for you or your team. TacoBot: Sounds good... do you want to keep adding stuff? Brands like Taco Bell and tech companies large and small are betting that more and more people will start using this "conversational" way of interacting online instead of clicking through on-screen menus. If the trend catches on -- as firms like Facebook and Microsoft expect -- it could transform the digital landscape by allowing smartphone users to find information or make purchases with simple text messages, bypassing apps and search engines. Among the companies already developing or launching chatbots are the Wall Street Journal, CNN and retail giants Sephora and H&M.

A glimpse into what might be possible with Artificial Intelligence by the power of Facebook. Artificial Intelligence is THE buzzword since the beginning of the year. It really leaped into the public consciousness a few weeks ago when an AI named AlphaGo created by Google's DeepMind beat Lee Se-dol in a set of the game Go. Something which until then seemed to be unachievable due to nature of the game. It sent ripples through mainstream media and now we all hyped up and ready to jump on the AI train to a better world.

There are not many books on Deep Learning at the moment because it is such a young area of study.

Embedded Python/NumPy/Scikit-learn functions in MonetDB to perform machine-learning tasks on a real business case.

The project, which is being done with Sweetwater Tech Resources, utilizes Water Planet's IMS-5000 Integrated Produced Water Treatment Solution powered by IntelliFlux. The IMS-5000 technology used in the pilot is an integrated mechanical and membrane filtration system that incorporates ceramic membranes to filter the water. It was developed to perform in oil & gas produced water treatment, one of the most challenging water treatment applications on the planet. As part of the project, Water Planet is also running a standard reverse osmosis unit to desalt the brackish water that is left after treatment by the ceramic ultrafiltration membranes. "We are currently running a series of demonstrations using a range of waters provided by a consortium of California oil producers to evaluate treating produced water for potential use in agricultural irrigation.

Aliyun, the cloud computing unit of Alibaba Group Holding, on Wednesday officially introduced an artificial intelligence (AI) robot named Ai that's meant to compete with overseas AI players. The Ai system was developed on the basis of neural networks and social computing, according to a press release Alibaba sent to the Global Times on Wednesday. The Ai system is good at predicting and understanding human emotions, the company said. Neural networks are based on animals' central nervous systems, and they are used to mimic functions involving many inputs. Social computing can be defined as the intersection of social behavior and computing systems.

The threat from such machines is real enough for 100 states to come together and debate the matter of their ban for three consecutive years now. The use of autonomous machines could potentially change the vocabulary of warfare, just like gun powder and nuclear arsenal upon their entry into the battlefield. In April 2013, NGOs associated with successful efforts to ban landmines and cluster munitions got together in London and issued a call to governments urging the negotiation of a treaty preventing the development, deployment and use of what are known as'Killer Robots' in popular parlance. In July 2015, some of the world's leading Artificial Intelligence (AI) scientists including Apple co-founder Steven Wozniak, Skype co-founder Jaan Tallin and Professor Stephen Hawking signed a letter with nearly 21,000 signatures asking for an outright ban on these autonomous weapons systems (AWS). "Autonomous weapons will become the Kalashnikovs of tomorrow," states the letter.

This paper tackles the problem of endogenous link prediction for knowledge base completion. Knowledge bases can be represented as directed graphs whose nodes correspond to entities and edges to relationships. Previous attempts either consist of powerful systems with high capacity to model complex connectivity patterns, which unfortunately usually end up overfitting on rare relationships, or in approaches that trade capacity for simplicity in order to fairly model all relationships, frequent or not. In this paper, we propose Tatec, a happy medium obtained by complementing a high-capacity model with a simpler one, both pre-trained separately and then combined. We present several variants of this model with different kinds of regularization and combination strategies and show that this approach outperforms existing methods on different types of relationships by achieving state-of-the-art results on four benchmarks of the literature.