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Wolves have an understanding of cause and effect

Daily Mail - Science & tech

In the process of domestication, dogs may have lost the ability to grasp the connection between cause and effect, a new study has found. Researchers investigating the reasoning skills of dogs and human-socialized wolves have discovered that the two canines had different approaches when searching for food after they'd been given hints about its location. While dogs were unable to make the connection, the study revealed that wolves can – suggesting domestication may have altered dogs' cognitive abilities. In the study conducted at the Wolf Science Center of the Vetmeduni Vienna, the international team of researchers observed 14 dogs and 12 human-socialized wolves. A genetic analysis of the world's oldest known dog remains has revealed that dogs were domesticated in a single event by humans living in Eurasia.


Psychology experiment kept six NASA subjects isolated on a Mars-like volcano for 8 months

USATODAY - Tech Top Stories

After eight months of isolation in a simulated space home atop a remote Hawaii volcano, six NASA-backed research subjects will emerge from their Mars-like habitat on Sunday and return to civilization. In this 2017 photo released by the University of Hawaii crew members of Mission V, walk up hill with a cart next to the university's facility Hawaii Space Exploration Analog and Simulation (HI-SEAS) at the Mauna Loa volcano, Big Island, Hawaii. HONOLULU - After eight months of living in isolation on a remote Hawaii volcano, six NASA-backed research subjects will emerge from their Mars-like habitat on Sunday and return to civilization. Their first order of business after subsisting on mostly freeze-dried and canned food: Feast on fresh-picked pineapple, papaya, mango, locally-grown vegetables and a fluffy, homemade egg strata cooked by their project's lead scientist. The crew of four men and two women were quarantined on a vast plain below the summit of the world's largest active volcano in January.


'Travis Strikes Again' puts 15 indie titles in one Suda51 game

Engadget

Nintendo went all out this week showcasing a slew of high-profile games heading to the Switch, 3DS and 2DS -- titles like Doom, Wolfenstein II and Pokemon Gold. But, just last month, Nintendo was all about indie love. That's when the company and renowned ultra-violent game director Goichi "Suda51" Suda revealed Travis Strikes Again, the third title in the No More Heroes series. And, this time around, he's brought 15 indie video game creators along for the ride. Suda51's studio, Grasshopper Manufacture, debuted No More Heroes on the Wii in 2008 as a pop-culture-infused, cel-shaded, hack-and-slash adventure game starring Travis Touchdown, an anime-obsessed assassin with a lot of sass.


Microsoft, Facebook Unveil Open Standard for AI, Deep Learning Networks - ExtremeTech

#artificialintelligence

The Open Neural Network Exchange (ONNX) is described as a standard that will allow developers to move their neural networks from one framework to another, provided both adhere to the ONNX standard. Companies must choose the framework they're going to use for their model before they start developing it, but the framework that offers the best options for testing and tweaking a neural network aren't necessarily the frameworks with the features you want when you bring a product to market. The press release states that Caffe2, PyTorch, and Microsoft's Cognitive Toolkit will all support the ONNX standard when it's released this month. Models trained with one framework will be able to move to another for inference.


How artificial intelligence is transforming learning

#artificialintelligence

In an increasingly polarized country, we all share one thing in common: everyone has taken a standardized test. Whether it was the SAT, ACT, GMAT, LSAT, or some other exam, we have all sat at a desk and fretted about the impact our performance might have on our future. Well, today's kids are about to become a degree further removed from our shared childhood experiences, because they likely will not have to prepare for these tests with oversized test prep books. But where we criticize today's youth for not playing outside, we can only envy them for the educational resources coming their way. Before we dive into how cool that technology could be, let's zoom out and look at education technology (edtech) as an industry, because it is booming.


8 Skills You Need to Be a Data Scientist Udacity

#artificialintelligence

You're in good company – a recent article by Laurence Bradford in Forbes calls data science'the century's hottest career'. But how can you get your foot in the door? Many resources out there may lead you to believe that becoming a data scientist requires comprehensive mastery of a number of fields, such as software development, data munging, databases, statistics, machine learning and data visualization. You don't need to learn a lifetime's worth of data-related information and skills as quickly as possible. Instead, learn to read data science job descriptions closely.


Rats replay scary memories during their sleep

Daily Mail - Science & tech

Have you ever been warned not to watch a scary movie before going to bed, or risk having nightmares? New research may support this idea, but it may also explain why dreams can be useful for forming long-term memories. When rats are frightened in the day, the fear centers in their brains are re-activated during sleep - potentially helping to strengthen memories. When rats are frightened, the fear centers in their brains are re-activated during sleep - potentially helping to strengthen memories. The study, conducted by researchers at New York University, involved measuring the brain activity of rats as they ran around a maze.


Quantum machine learning

#artificialintelligence

Language acquisition in young children is apparently connected with their ability to detect patterns. In their learning process, they search for patterns in the data set that help them identify and optimize grammar structures in order to properly acquire the language. Likewise, online translators use algorithms through machine learning techniques to optimize their translation engines to produce well-rounded and understandable outcomes. Even though many translations did not make much sense at all at the beginning, in these past years we have been able to see major improvements thanks to machine learning. Machine learning techniques use mathematical algorithms and tools to search for patterns in data.


Artificial Intelligence Could Replace Your Doctor

#artificialintelligence

When 59-year-old Mimi Carroll was diagnosed with breast cancer in 2012, it was a complete shock. The California photographer was an active person who ate healthy. How could she be sick? Carroll's only symptom was a single swollen lymph node. While her paternal grandmother had died of the disease, not one of her five sisters or mother had any evidence of cancer.


Natural Language Processing Market to Reach $22.3 Billion by 2025

#artificialintelligence

Natural language processing (NLP) is a technology spawned from the need for machines to understand and communicate with humans in human language, not formal computer languages. The concept behind NLP is simple: if and when machines can understand and communicate with humans in natural (human) language, it democratizes data science, enabling humans to access, analyze, and leverage data more intelligently and become more efficient as they offload redundant, data-heavy tasks to machines. According to a new report from Tractica, while NLP is most commonly understood as a user interface (UI) technology, it is also a critical technology for extracting insights and analysis from a vast amount of previously unindexed and unstructured data, mining video and audio files, emails, scanned documents, and more. Tractica forecasts that these expanded applications, leveraging newly developed artificial intelligence (AI) techniques, will drive growth in the NLP software market from $136 million in 2016 to $5.4 billion by 2025. The market intelligence firm anticipates that NLP software deployments will drive significant additional sales of hardware and professional services, bringing the total NLP software, hardware, and services market opportunity to $22.3 billion by the end of the forecast period.