Outside a large warehouse in Pittsburgh, in an area along the Allegheny River that was once home to dozens of factories and foundries but now has shops and restaurants, I'm waiting for a different kind of technological revolution to arrive. I check my phone, look up, and notice it's already here. A white Ford Fusion, its roof bedazzled with futuristic--looking sensors, is idling nearby. Two people sit up front--one monitoring a computer, the other behind the wheel--but the car is in control. I hop in, press a button on a touch screen, and sit back as the self-driving Uber takes me for a ride. As we zip out onto the road toward downtown, the car stays neatly in its lane, threading deftly between an oncoming car and parked trucks that stick out into the street.

It'll likely take a long time before DARPA's autopilot system flies military planes on its own, but this latest demonstration proves that it works. Aurora Flight Sciences, the aviation company that's developing the technology for the agency, has successfully tested it on a Cessna Caravan turboprop aircraft. Aircrew Labor In-Cockpit Automation System or ALIAS is comprised of a robotic arm and a tablet-based user interface with speech recognition, among other components. When installed on a plane, it acts as the co-pilot in charge of flying the aircraft -- its human companions can chill and spend their time keeping an eye on the weather or looking out for any potential threats. This is the technology's third demonstration in merely a year, following two test runs on a simulator and a Diamond DA-42 plane.

Every year we like to get a Googler who is close with the ranking and search quality team to give us future thinking points to relay to the search marketing community. In part two of our interview with Gary Illyes of Google, we asked him that question. Well I guess you can guess that we are going to focus more and more on machine learning. But it will not take over the core algorithm. The other thing is that there is a very strong push for AMP everywhere.

Let's go through an example of Cancer Tissue Observations: Logistic regression is a popular method to predict a binary response. It is a special case of Generalized Linear models that predicts the probability of the outcome. Logistic regression measures the relationship between the Y "Label" and the X "Features" by estimating probabilities using a logistic function. The model predicts a probability which is used to predict the label class. Our data is from the Wisconsin Diagnostic Breast Cancer (WDBC) Data Set which categorizes breast tumor cases as either benign or malignant based on 9 features to predict the diagnosis.

Earlier this year, chatbots were barely a blip on the tech world's radar. Then, at Facebook's F8 developer conference in April, the company announced that its Messenger app would soon feature chatbots from brands including CNN and 1-800-Flowers. Seemingly overnight, chatbots became the "next big thing" in tech and the object of endless media coverage. Other messaging platforms, such as Kik, Line and Telegram, are also experimenting with chatbots developed by third-party companies. And Talkabot, a bot-related conference, took place in Austin in late September.

Traders might start to sense that someone is constantly watching over their shoulders. AI is being applied to the world of regulation, or "RegTech," and a new system can monitor the trading behavior of fund managers and even alert compliance bodies if questionable activity is detected. The UK chancellor George Osborne coined the term in the last budget claiming that the new policy would support "new technologies to facilitate the delivery of regulatory requirements" to the financial services sector, according to the Financial Times. Companies such as Sybenetix are working with cloud computing, AI and biometrics to develop tools that will serve the financial services industry and help them to meet the mounting regulations enforced since the 2008 banking crisis. The Institute of International Finance (IIF) considers that less complex RegTech solutions would make it easier for new companies to enter the market, and that market is a growing one.

Mention artificial intelligence and a discussion about the robot wipeout of humankind is sure to follow. It's a technology as strongly associated with creation as it is with destruction. It's also a technology that businesses will increasingly trust in decision-making, Gartner analysts said Monday at the research firm's annual Symposium/ITxpo here. In the next three to five years, Gartner predicts that 50 percent of all analytical interactions will be delivered via artificial intelligence, and many of the insights will be gleaned through verbal interactions. People already know and interact with A.I. systems through IBM's Watson, IPSoft's Amelia, Apple's Siri, Microsoft's Cortana and Google Assistant.

The ability to think is one of the things that marks us out as human, "I think therefore I am," as the philosopher René Descartes put it. But what if machines were able to mimic human thought processes? This is the basic premise behind cognitive computing. In order to replicate human thought processes, cognitive computing uses techniques like pattern recognition, data mining and natural language processing. The ultimate goal is to be able to make computer systems that are capable of solving complex problems without needing human assistance to prompt them in the right direction.

The linguist refers to Machine Learning and its fixed structure. That means, Deep learning takes out the EXPERT to improve overall performance. Deep Learning provides for an inherently fascinating subject, and one that I just love to geek out upon. In my last LinkedIn post I spoke of Deep Learning in and as it relates to Web Development (you can read that particular blog post here Deep learning and Web development) today however I want to take a look at deep machine learning. Deep Learning has provided for amazing achievements within realms that span from speech perception to object recognition.

I'm gently awakened by the soft waves emitted from my Apple Phone. I put on my dress shirt and a pair of comfortable slacks. It's 2040 and some things never change. I dawdled along with my usual morning routine and stepped outside my front porch. Some of you reading this in the year 2016 will call it a balcony of sorts.