As more self-driving cars hit the road in the coming years, sophisticated communications systems will rely on a fast, reliable network that's capable of being a data superhighway. Self-driving or autonomous cars are a hot topic, but the road to autonomous driving is curvy and complicated. It's full of blind turns as engineers, automakers, regulators and data scientists map out a radically different future for automobiles. That future is fast approaching. In January, the BMW Group, Intel and Mobileye said a fleet of about 40 of their autonomous test vehicles will be on roads by the second half of 2017.

Artomatix founder Eric Risser's idea to use AI to create 3D worlds is not so crazy after all. Dublin artificial intelligence (AI) company Artomatix has raised €2.1m in a seed round. It is still the start of the journey for founder Dr Eric Risser as his company makes headway in enabling movie houses and games companies to create immersive 3D worlds. "No, we have no money for your weird AI arts stuff," Risser was told by a professor when he was a computer science student at Columbia University. He persevered, completed his PhD at Trinity College Dublin instead, and started a company.

"We see AI making smart devices even smarter with improved user experiences," says Ian Fogg (pictured right), director of mobile and telecom analysis at IHS Markit. "Existing AI agents like Apple's Siri and Google Assistant will expand across the industry, complemented by embedded AI in all parts of mobile devices from cameras, to audio, to machine." "Smartphones will both be the interface for AI and deliver the vast amount of data technology companies need to train AI systems," Fogg says. Software investments and partnerships are critical for hardware companies to create smarter AI-enabled experiences, says the IHS Markit white paper. Vendors such as Google, Apple, Sony, Microsoft and Samsung have heavily invested in the development of their own AI and voice-assistant capabilities.

Researchers are looking at the vast opportunities presented by artificial intelligence (AI) to the Philippines to improve different local industries amid fears that the technology may soon replace the human workforce. UP Computer Science Department Chairman Dr. Pros Naval said AI as a "transformative technology" can create more jobs for Filipinos. "AI is not going to completely replace human beings. AI is a transformative technology. Sometimes it could be disruptive but the way I see it is that it could transform the lives of people, not only the lives but also the workplace," Naval said.

Yet another announcement from a global behemoth declaring itself committed to Artificial Intelligence (AI) and Machine Learning. In this article reported by the Irish Times and international press, it is notable that the consequence of American bank, JP Morgan Chase's commitment to AI is the redundancy of banking lawyers in mundane document or contract review work. They say 360,000 hours of lawyers billable work goes up in a puff of smoke because AI replaces lawyers reviewing banking documents. A headline to make any middle class professional quake in their boots. AI definitely has a role to play in the mass review of standard contracts.

Tuomas Sandholm and Noam Brown spent the past year building an AI that plays Texas Hold'Em. The two Carnegie Melon researchers call their creation Libratus, and they believe it can top the world's best players at no-limit Hold'Em, a version of the classic poker game that allows any bet at any time. No machine has ever reached such heights with this unusually complex game of cards. Although AI systems have topped the best players at checkers, chess, Othello, and even Go, no-limit Hold'Em creates a different obstacle. In contrast to those other games of intellect, a poker player can know only part of what's happening during each hand.

Cloud computing offers scalable on-demand services to consumers with greater flexibility and lesser infrastructure investment. Since cloud services are delivered using classical network protocols and formats over the Internet, implicit vulnerabilities existing in these protocols as well as, threats introduced by newer architectures raise many security and privacy concerns. There are many questions that arise as to whether a cloud is secure enough. There exist numerous threats, like insecure interfaces and APIs, malicious insider attacks, data loss and leakage, account or service hijacking, unknown risk profile, etc. If cloud service provider relies on weak set of APIs, variety of security issues will be raised related to confidentiality, integrity, availability and accountability.A malicious insider can easily obtain passwords, cryptographic keys and files, causing various types of fraud, damage or theft of information and misuse of IT resources.

Assuming the dataset is named "people_wiki.csv", Executing this script will result in steaming logs which is ultimately leading to the data getting indexed in elasticsearch. That's how easy it is! Let's spend the next few lines on what actually happened. We declare our elasticsearch object configured on our local machine. Once that object is initialized we will use it to index all of our data.

I won't go into details of how to do this, but in a few words all you need to do is to train your independent models and then use their predictions as features of another ML model that puts them together. This ensemble layer can be as simple as a logistic regression or as complex as a deep Neural Network, but given your question I would definitely encourage you to start with the simplest model possible.