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Hold your breath to hide from surveillance robot
If you want to creep past this new security bot, you'd better be good at holding your breath. TiaLinx's new Cougar20-H is a lightweight, remote-controlled surveillance robot that can detect human breathing and scan through concrete walls with its ultra-wideband radio frequency sensor array. The Cougar20-H moves around on tracks and can roll up to a building, extend its arm, and start scanning through the wall with its RF array, developed with funding from the U.S. Army. Operated from a laptop that can be more than 300 feet away, the robot can scan through reinforced concrete by detecting reflected radio waves. It can find people who are moving or even keeping still, so the operator can see them in real time.
Machine learning system can ID cities via pics
What makes Paris look like Paris? It is instead the details woven into the urban fabric that form a pattern, according to a machine learning system that's part of a U.S.-French visual data mining project. Yes, computers are learning to ID your city just by looking at random photos. Researchers at Carnegie Mellon University and INRIA/Ecole Normale Superieure in Paris had the system look at 40,000 Google Street View images of Paris, London, New York, and Barcelona, as well as eight other cities to find frequent and unique elements. The machine learning program found features like the street signs, balconies, and lampposts of Paris to be distinct.
50 Top Free Data Mining Software - Predictive Analytics Today
Orange is a component based data mining and machine learning software suite written in the Python language. It is an Open source data visualization and analysis for novice and experts. Data mining can be done through visual programming or Python scripting. It has components for machine learning. There are add ons for bioinformatics and text mining.
AI Pioneer Wants to Build the Renaissance Machine of the Future
Juergen Schmidhuber taught a computer to park a car. He's also showing that same machine how to trade stocks and detect flaws in steel production. Unrelated as these tasks may appear, Schmidhuber thinks a seemingly random training regimen is key to creating artificial intelligence that can solve any problem. Schmidhuber's AI theories tend to carry weight. In 1997, he co-authored a seminal paper that laid the groundwork for modern AI systems.
The five stages of machine learning implementation 7wData
If you've stumbled upon this article, you may already be in this position. However, what's more likely is that this is going to become your situation in near future, and learning from someone else's experience is now needed to prepare. While there's a plethora of theory around business applications for data analytics; there is a significant lack of practical, real-life experience to draw on. This is largely due to the fact that adoption of these technologies, for many industries, is new and the results of pilots are just coming to light now. Machine learning technologies are successfully used in predictive and recommendation services.
Has Hollywood lost touch with American values? Let us know what you think
Do you think Hollywood has lost touch with American values? Do you think Hollywood has lost touch with American values? The contentious presidential campaign was filled with accusations of elitism and bias by the media -- from the news to entertainment. Many supporters of Donald J. Trump saw his victory as a repudiation of the so-called liberal elite. So as 2017 begins, we ask: Is Hollywood representing all Americans? Are Hollywood values out of sync with American values? It's the start of a conversation we'll have all year with Hollywood's creators, consumers and observers. Most of all, we want to hear from you. Is Hollywood out of touch with your America? Here's what our critics and writers have to say: KENNETH TURAN on potent Hollywood visions that helped elect Trump TV's affluent bubble: MARY McNAMARA on Hollywood's reluctance to deal with class issues Fear of the powerful woman: JUSTIN CHANG on working women and men still behaving badly Realistic or cliche?: JEFFREY FLEISHMAN on ...
The five stages of machine learning implementation
If you've stumbled upon this article, you may already be in this position. However, what's more likely is that this is going to become your situation in near future, and learning from someone else's experience is now needed to prepare. While there's a plethora of theory around business applications for data analytics; there is a significant lack of practical, real-life experience to draw on. This is largely due to the fact that adoption of these technologies, for many industries, is new and the results of pilots are just coming to light now. Machine learning technologies are successfully used in predictive and recommendation services.
Has Hollywood lost touch with American values?
The contentious presidential campaign was filled with accusations of elitism and bias by the media -- from the news to entertainment. Many supporters of Donald J. Trump saw his victory as a repudiation of the so-called liberal elite. So as 2017 begins, we ask: Is Hollywood representing all Americans? Are Hollywood values out of sync with American values? It's the start of a conversation we'll have all year with Hollywood's creators, consumers and observers. Most of all, we want to hear from you . Is Hollywood out of touch with your America? Here's what our critics and writers have to say: KENNETH TURAN on potent Hollywood visions that helped elect Trump TV's affluent bubble: MARY McNAMARA on Hollywood's reluctance to deal with class issues Fear of the powerful woman: JUSTIN CHANG on working women and men still behaving badly Realistic or cliche?: JEFFREY FLEISHMAN on film's working class men and women Building distrust: LORRAINE ALI on destructive TV portrayals of Muslims and how TV ...
Machine Learning Models Predicting Dangerous Seismic Events
Underground mining poses a number of threats including fires, methane outbreaks or seismic tremors and bumps. An automatic system for predicting and alerting against such dangerous events is of utmost importance – and also a great challenge for data scientists and their machine learning models. This was the inspiration for the organizers of AAIA'16 Data Mining Challenge: Predicting Dangerous Seismic Events in Active Coal Mines. Our solutions topped the final leaderboard by taking the first two places. In this post, we present the competition and describe our winning approach.