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Deep Mining by HDI-Project, CSAIL, MIT

#artificialintelligence

This project is part of the Human Data Interaction project at CSAIL, MIT. The Deep Mining project aims at finding the best hyperparameter set for a Machine Learning pipeline. A pipeline example for the handwritten digit recognition problem is presented below. Some hyperparameters indeed need to be set carefully, as the degree for the polynomial kernel of the SVM. Choosing the value of such hyperparameters can be a very difficult task and this project's goal is to make it much easier.


ARTIFICIAL INTELLIGENCE IN AGRICULTURE. PART 1: HOW FARMING IS GOING AUTOMATED WITH ROBOTS

#artificialintelligence

Agriculture is considered a prime area of potential growth in the drone industry because of the technology's ability to help survey crops and gather real-time information on farmland. Crop-spraying drones or easy-to-fly devices that are designed to spray pesticides on crops, can also capture high resolution images of whole field for further analysis. Effect of crop-spraying drone usage is massive. Drones can take off and land vertically which means unmanned aerial vehicle (UAV) sprayer does not need a runway. They are suitable for all kinds of complex terrain, crops and plantations of varying heights.


Artificial Intelligence in Agriculture. Part 1: How Farming is Going Automated with Robots – AI.Business

#artificialintelligence

The global population is expected to reach 9 billion people by 2050, which means double agricultural production in order to meet food demands. Farm enterprises require new and innovative technologies to face and overcome these challenges. Artificial intelligence robotics is one of these technologies that promises to provide a solution. An increasing number of farmbots are being developed that are capable of complex tasks that have not been possible with the large-scale agricultural machinery in the past. Here's a list of real use cases of robots that will help agriculture changing.


GE ties up with IIT-M to set up Industrial Internet Centre

#artificialintelligence

US-based conglomerate GE has signed an agreement with the Indian Institute of Technology, Madras (IIT Madras), to set up an Industrial Internet Centre of Excellence. The Centre is being designed to develop applications that will help companies save costs. The first of these will be the Digital Twin of an aluminium smelter. According to senior company officials, GE would invest around Rs 3 crore in the first six months and could commit around Rs 30 crore over five years depending upon the outcome. Aluminium smelters are refineries for extracting the metal from aluminium oxide, separating it from oxygen through a chemical reaction.


Use of 3D Vision and Artificial Intelligence Predicted to Drive the Global Industrial Robotics Market in the Rubber and Plastic Industries Until 2020, Says Technavio

#artificialintelligence

LONDON--(BUSINESS WIRE)--According to the latest research study released by Technavio, the global industrial robotics market in the rubber and plastic industry is expected to record a CAGR of over 18% until 2020. This research report titled'Global Industrial Robotics Market in the Rubber and Plastic Industry 2016-2020', provides an in-depth analysis of market growth in terms of revenue and emerging market trends. To calculate the market size, the report considers the revenue generated primarily through the sales and services of various industrial robotics such as cartesian, articulated, and others for different applications in the rubber and plastic industry. "China accounted for about 25% of the overall production of plastics, followed by European countries that accounted for 20%. Key findings of this report show that the demand for plastics is anticipated to grow during the forecast period, and positively impact the market. Significant improvements in gripper technology, such as the development of Versaball by Empire Robotics for handling materials of any shape and size, is also slated to play a critical role in the expansion of robots in the rubber and plastic industry," said Bharath Kanniappan, one of Technavio's lead analysts for robotics research.


Can artificial intelligence create the next wonder material?

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It's a strong contender for the geekiest video ever made: a close-up of a smartphone with line upon line of numbers and symbols scrolling down the screen. But when visitors stop by Nicola Marzari's office, which overlooks Lake Geneva, he can hardly wait to show it off. "It's from 2010," he says, "and this is my cellphone calculating the electronic structure of silicon in real time!" Even back then, explains Marzari, a physicist at the Swiss Federal Institute of Technology in Lausanne (EPFL), Switzerland, his now-ancient handset took just 40 seconds to carry out quantum-mechanical calculations that once took many hours on a supercomputer -- a feat that not only shows how far such computational methods have come in the past decade or so, but also demonstrates their potential for transforming the way materials science is done in the future. Instead of continuing to develop new materials the old-fashioned way -- stumbling across them by luck, then painstakingly measuring their properties in the laboratory -- Marzari and like-minded researchers are using computer modelling and machine-learning techniques to generate libraries of candidate materials by the tens of thousands.


White paper: Making the business case for text analytics

@machinelearnbot

Unstructured data is the most prevalent form of information on the planet. It exists in our e-mails, surveys, social media accounts, call center logs, etc. With a strong text analytics strategy in place, companies can get critical information from this data to drive better business decisions.


Only Robots Can Visit Deep-Sea Vents. Now You Can--In Glorious VR!

WIRED

The promise of virtual reality is that it can transport you to places you'd prefer not to go: the tops of the highest mountains, for instance, or the mosh pit of Norwegian party metal concert. Then there are the impossible places, like the roiling vents at the bottom of the deepest oceans, where crushing pressures and searing heat make an environment fit only for robots. In March, one of those robots, the straightforwardly-named Remotely Operated Vehicle for Ocean Sciences, spent a staggering 150 hours exploring an undersea volcano near Samoa. Not only were researchers from the Schmidt Ocean Institute able to capture VR video and upload it to YouTube so regular folk can explore the action themselves (check it out below), but they 3-D mapped a so-called black smoker vent so scientists around the world can study the phenomenon independently. But this wasn't all an exercise in delayed gratification.


Commodities Outlook Based On Algo Trading Up To 36.11% Return In 1 Month

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Commodities Outlook: The top commodities package for the 26th of January 2016 represents the top performing commodities for the 1 month period outlook. Package Name: Commodities Forecast Forecast Length: 1 month (04/06/16 – 05/06/16) I Know First Average: 15.70% The Commodities forecast for April 6th, 2016 had all 10 stocks increase in accordance with the algorithm's predictions. I Know First investors who invested evenhandedly in the top 10 stocks of this package saw an overall return of 15.70% Market Vectors Gold Miners ETF (GDX) The investment seeks to replicate as closely as possible, before fees and expenses, the price and yield performance of the NYSE Arca Gold Miners Index. The fund normally invests at least 80% of its total assets in securities that comprise the Gold Miners Index.


IBM Inches Ahead of Google in Race for Quantum Computing Power

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All kinds of things are hooked up to the Internet these days, but Jerry Chow's computer stands out. Chilled by liquid helium, his superconducting processor uses quantum physics to circumvent rules of everyday reality that limit the power of conventional computers. Chow manages IBM's quantum computing group at the company's Thomas J. Watson research center in Yorktown Heights, New York. The team launched a website today with an interface that lets outside programmers and researchers test algorithms on the new chip. Chow says he wants to get them ready for the undetermined point in the future when this exotic kind of cloud computer is ready for practical use.