Materials


Self driving cargo ship to sail Norwegian seas in 2018

Daily Mail

The vessel, developed by agriculture company Yara International ASA and high-technology systems firm Kongsberg Gruppen, will be loaded and unloaded automatically using electric cranes. Researchers have developed the world's first autonomous, zero-emissions cargo ship: The Yara Birkeland. Developed by agriculture company Yara International ASA and high-technology systems firm Kongsberg Gruppen, will be capable of autonomous mooring and route planning. Yara International and Kongsberg Gruppen aren't the only companies looking to develop autonomous ships - last year, Rolls Royce revealed plans to develop fleets of'drone ships,' with the first ships developed being ferries and then cargo ships to carry cargo around the world - all controlled from a central'holodeck'.


Google Adds Natural Language Queries to Google Analytics

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Google Analytics is a gold mine of data, and the backbone of many digital marketing processes. Google's adding in a new natural language query process which will help users find relevant insights quickly and easily. Last September, they added Automated Insights which aims to highlight relevant fluctuations and changes in your Google Analytics data to help keep you on top of all the important measurements. Google does say that the system may not be able to answer all of these queries, as it depends on the surrounding context, but they are working to improve and upgrade the system based on use.


Plastic-plucking robots are the future of recycling

Engadget

Working in collaboration with the Carton Council and Denver-based municipal waste facility Alpine Waste & Recycling, AMP has taken a two-decade old mechanical trash sorting system and given it something not even the Great and Powerful Oz could: robotic eyes and an AI brain. "The fundamental platform that we've created was a system to sort pretty much all the commodities that are in a recycling facility today," AMP Robotics founder, Mantanya Horowitz told Engadget, "whether it's cardboard, #1 plastics, #2 plastics, or cartons -- cartons just ended up being a great place for us to start." "We didn't really think that if we had everything in one pot it would just work," Jones told Engadget. So rather than continue on the industry's current course of mechanically recycling plastics -- literally shredding them down into tiny chunks and forming them into pellets which are then melted together into new plastic items -- "What we do can be called chemical recycling," Jones said.


Exponential Life has Begun: 5 Pieces of Evidence that Prove it - OpenMind

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From left to right: Jason Pontin (MIT Technology Review Editor in Chief and Publisher), Francisco González (BBVA Executive Chairman), Steven Monroe Lipkin (Weill Cornell Medical College) and Seán Ó hÉigeartaigh (Centre for the Study of Existential Risk, CSER). Finance, robots, sensors, AI, smart materials, genetics and risks, many risks to consider in this exponential scenario. Steven Monroe Lipkin, professor of medicine at Weill University and director of the Adult and Cancer Genetics Clinic of the New York-Presbyterian Hospital, maintains that genome sequencing efforts have to start from a collective study and then be translated into a tailored application. That is the position of Seán Ó hÉigeartaigh, researcher of global risks and emerging technologies at the Cambridge Centre for the Study of Existential Risk (CSER).


Playing catch-up in advanced analytics

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Once the company understood the linkages among parameters, it used the latest machine learning and bespoke algorithms to optimize the paper mill for customer requirements. To generate insights from the data sources, companies must also understand the analytical tools and models available and select the right ones. A food manufacturer was able to raise quality and reduce complaints by 90 percent by using infrared (IR) technology to continually monitor quality and optimize parameters to improve flavor characteristics. The company sought to use the latest IR technology to capture data, and then use data analytics to develop a model to evaluate hotness.


AI for Good: How advanced crop intelligence can help solve food production challenges

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By being more effective in how they target crops, growers expe rience the economic benefits of reduced costs for crop protection, reduced crop threats, and therefore increased yields. Gamaya's precision agriculture services equip growers with information about the location, type, and intensity of the weeds infesting their fields. Targeted spraying reduces chemical usage, thereby significantly reducing the farm er's costs, lowering the negative impacts to the environment, and on human health, and likely slows the spread of herbicide-resistance. Not only is the cam era itself small, but it compresses data 100 times more efficiently than other hyperspectral cam eras, making our data processing quicker, less complex, and less expensive than with other hyperspectral sensors.


8 Disruptive Digital Technologies... with the Power to Transform Agriculture

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Drones are being used in soil and field analysis, planting, crop spraying/monitoring, irrigation and crop health assessment (as in this one minute video, demonstrating how a drone can be used to observe the impact of a crop feeding program). Syngenta and DuPont Pioneer both have made the foray into drone technology to assist farmers in making fertilizer application and irrigation decisions through aerial images. An exciting example in agriculture is machine vision, where computers process visual data collected via UAV, satellite or even smart phones and provide the farmer with useful information. A likely early use of VR is livestock video monitoring systems that send data back to a computer program, which in turn constructs a visual representation of the herd or brood allowing the farmer to check in on the cows or chickens remotely.


MIT Enigma's Catalyst Could Be The Quantopian Of Crypto-Assets

International Business Times

Catalyst proposes to circumvent the on-chain performance issue by routing orders through off-chain payment channels and using hashed timelock contracts (HTLCs), the same vein as the Lightning or proposed Raiden networks. To begin trading, users open payment channels with a chosen liquidity provider, in the currencies they wish to trade. In order to do algorithmic trading today in crypto markets, as opposed to stock markets, you have to work as an engineer, curate data sets and build testing tools. The type of data suggested include historical time series market data, initial coin offering data and sentiment data from news, social media subreddits and crypto forums.


Amazon.com: Data Mining and Business Analytics with R (9781118447147): Johannes Ledolter: Books

@machinelearnbot

This is meant to be a practical book. I will have acquired some familiarity with regression techniques and a few of the problems they can help with 2. I will have performed the regression techniques in R Over half the text focuses on various kinds of regression. From a statistics perspective, I would instead recommend Tibshirani, Hastie, Friedman: The Elements of Statistical Learning.


This truck is the size of a house and doesn't have a driver

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Mining company Rio Tinto has 73 of these titans hauling iron ore 24 hours a day at four mines in Australia's Mars-red northwest corner. BHP Billiton, the world's largest mining company, is also deploying driverless trucks and drills on iron ore mines in Australia. Suncor, Canada's largest oil company, has begun testing driverless trucks on oil sands fields in Alberta. The company's driverless trucks have proven to be roughly 15 percent cheaper to run than vehicles with humans behind the wheel, says Atkinson--a significant saving since haulage is by far a mine's largest operational cost.