Government
Why couldn't tech predict the US election results?
Such sentiment analysis, however, comes with a heavy workload and also requires mathematical models. "There are three ways to make improved predictions โ a better model, better data, and more data," says Jeremy Perlman, VP Europe for Trifacta, which helps RBS, Santander and PepsiCo analyse data. "The problem is that data created on social media and the web is expanding at a ridiculous rate, so machine learning will be critical to making better predictions at massive scale." Since computing power is increasingly exponential with the birth of super-computing in the cloud, the need to analyse more and more data shouldn't be a major hurdle. "Computational devices can very effectively, with high precision and rapidly, gather millions of tweets, posts or similar and run sentiment analysis โ to understand likes and dislikes," says Jepson.
ASX-listed tech company showcases anti-drone device Mesmer
US-based tech firm Department 13 has shown off its anti-drone device Mesmer, which takes control of intruding drones and forces them to land. The ASX-listed firm's esky-sized device is intended for the protection of a fixed site, such as an airport, where it can use existing radar to detect intruding drones. Previous methods to deal with nuisance drones have ranged from blasting it from the sky with a shotgun, snaring it in a net, or shooting in with an anti-drone drone -- the US military has used Hellfire missiles and 30 kilowatt shipboard lasers to destroy drones. The agency warned local law enforcement of the emerging threat that drones pose. Conversely, Department 13 worked on a method that reduced the risk of any potential danger to nearby personnel or infrastructure.
MIT students and others teaching IBM Watson about cybersecurity - TechRepublic
Mark 2016 as the year that researchers applied artificial intelligence (AI) to the challenges of cybersecurity. If machines can steer our cars and predict our shopping habits, then why not watch over our networks and servers too? IBM in May 2016 announced Watson for Cyber Security, in which the IT behemoth began teaching its pattern-recognition supercomputer to learn the difference between safe and risky data. That could ease the burden on overworked cybersecurity professionals, IBM hopes. Several universities involved with that project began having students train the system within the past several weeks, explained IBM Watson's Jeb Linton, chief security architect.
Casa de la Esperanza kids join Louisville Lego robot competition
It was a day for robots inside Monarch High School in Louisville on Saturday as dozens of teams competed in the First Lego League Robotics Competition. Kids were tasked with constructing and programming robots to complete a series of tasks. The teams also conducted science-themed research projects where students came up with solutions for real world problems. Among the teams was one put together several years ago by Casa de la Esperanza, a Longmont based organization that houses and helps recent Latin American immigrants who work in the agriculture industry to adjust to life in the United States. Program coordinator Vanessa Escarcega said that the organization has four teams for different age groups, and the teams were started as a way to get the children of immigrants into science, technology, engineering and math as well as help them succeed in school and go on to attend college.
Airbnb in NYC - Spatial Analysis of Illegal Activity
He takes the NYC Data Science Academy 12 week full time Data Science Bootcamp program from July 5th to September 22nd, 2016. This post is based on their first class project - the Exploratory Data Analysis Visualization Project, due on the 2nd week of the program. You can find the original article here. Airbnb boasts almost two million listings in 34,000 cities, and according to data from Inside Airbnb, a independent data analysis website, listed about 36000 apartments in New York as of July 5, 2016. This data exploration sets out to visualize how Airbnb operates in New York City.
Investers See Artificial Intelligence Destroying Millions of Jobs - Poll
Investors believe it is "inevitable" that artificial intelligence will destroy millions of jobs and that governments are unprepared for such an impact, according to a survey published on Thursday. Artificial intelligence (AI), or the process by which computers or robots take on tasks that need human intelligence, is one of the key themes of this week's Web Summit in Lisbon. The poll among 224 venture capitalists attending the conference showed 53 percent believed AI would destroy millions of jobs and 93 percent saw governments as unprepared for this. The survey also found that 83 percent of the investors canvassed expect Britain's exit from the European Union to damage Europe's economy and 77 percent believe it will damage British startups. London is widely seen as the main tech startup hub in Europe, thanks to its large pool of talent and a much bigger pool of funding than in rival centres.
You'll Never Believe Where Your Old Computer Could End Up After You Hand It In for Recycling
Roughly 20 km away from Hong Kong's slick, densely packed urban center lies the New Territories -- a suburban mishmash of rugged hills and scruffy villages, soaring new housing developments and vacant lots. This is where over half of the territory's 7.2 million people live. It could also be the resting place for your old PC or printer. Up to 20% of all U.S. electronic waste may be ending up in Hong Kong. Not in some scrapyard in the developing world, picked over by haggard children and wheezing laborers, but in the backyard of one of the world's most sophisticated financial capitals.
The Scientist Who Helped Amy Adams Talk to Aliens in "Arrival" - Facts So Romantic
Earlier this year, when Amy Adams was in Montreal working on the sci-fi movie, Arrival, out today, she hung out with linguist Jessica Coon. In the film, Adams plays a linguist tasked by the United States government with deciphering a visiting aliens' language. The film's producers tapped Coon, an associate professor in the Department of Linguistics at McGill University, as a scientific advisor because she specializes in studying languages spoken by relatively few people, notably Mayan tongues in Central America. Coon says chatting about her work--analyzing the structure of rare languages, working in the field--with Adams is probably the "most glamorous thing" she will ever do in her academic life. For Coon there's a sense of urgency in her work, since many obscure languages are fast going extinct. She thinks that if linguists don't analyze the rarer languages of the world's 6,000 while they still can, they won't be able to understand the nature of human language; what linguists do understand, she says, is derived from the accessible languages of Western Europe.
From exploding phones to dangerous hoverboards: Why are batteries catching fire so often?
Just two weeks after the launch of the Galaxy Note 7 phone, Samsung was forced to recall 2.5 million devices worldwide, after reports that many were overheating, or even exploding Do YOU count on your fingers? Experts say it could actually... The 760mph train that'll take you from London to Manchester... Could a folding phone save Samsung? Firm patents radical... Artificial intelligence will'inevitably' destroy millions... Do YOU count on your fingers? Experts say it could actually...