Government
Trump's Win Isn't the Death of Data--It Was Flawed All Along
The lesson of Trump's victory is not that data is dead. The lesson is that data is flawed. It has always been flawed--and always will be. Before Donald Trump won the presidency on Tuesday night, everyone from Nate Silver to The New York Times to CNN predicted a Trump loss--and by sizable margins. "The tools that we would normally use to help us assess what happened failed," Trump campaign reporter Maggie Haberman said in the Times. As Haberman explained, this happened on both sides of the political divide.
A Few Thoughts on the Unthinkable
Jump to an update: • Waiting for Hillary on a gray morning • A few thoughts on the unthinkable • Palin speaks at the Trump party • Trump's path • Settling in for the night at Hillary Clinton's party • If Trump wins, he would likely also control all three branches of government • A new electoral map is upending the old one • The part of the night when Democrats start to freak out • Marco Rubio, again • The exit polls show a breakdown in demographics that is entirely predictable • A shooting near a polling place in Los Angeles • Early exit polls: No evidence Comey made a difference • Is the South still the conservative heartland? Clinton's motorcade arrived soon after. At campaign events and at her party last night, Clinton was permanently inside a huge bubble of safe space guarded by the Secret Service. At today's event, they were nowhere to be seen. Clinton arrived in a small caravan that stopped in a busy street. The only visible protection was provided by a handful of New York cops who hadn't received notice she was coming just then and halfheartedly tried to convince a crowd to move backward. Soon, Clinton's staff and the crowd and a few people who happened to have been walking down the street were mashed together for a panicky moment. A bicyclist, nearby, screamed, "Get out of the way, you fucking morons."--A. The executive branch of the United States government has grown in its power over the past eight years. After 9/11, George W. Bush built an aggressive national-security apparatus that Barack Obama only partially reined in. To cite just one of the powers that Commander-in-Chief Donald J. Trump would acquire, the American President has grown comfortable with killing alleged terrorists remotely with unmanned vehicles. Congress has done little in the way of oversight of this program, and it is just one of the many new powers Trump could inherit. Similarly, Congress has shown no interest in rewriting the overly broad war authorizations that Bush and Obama used to wage campaigns across the Middle East and Africa. As Congress and the White House became unable to pass legislation, Obama also pushed the boundaries with respect to the use of executive orders. These can be rescinded on day one of a Trump Presidency, but, just as important, Trump will undoubtedly push the boundaries of executive orders beyond what Obama did.
Artificial Intelligence MogIA Predicts Fourth Election in Row with Trump Win - Breitbart
MogIA, an artificial intelligence system and election predictor, has successfully predicted its fourth election in a row. The system, which learns in real-time by examining data on the internet, placed its bets on Donald Trump to win the 2016 US Presidential Election in October after also successfully predicting both the Democratic and Republican party primaries. "If Trump loses, it will defy the data trend for the first time in the last 12 years since Internet engagement began in full earnest," said MogIA's developer Sanjiv Rai in October, who then was still unaware of the certainty of a Trump win. "If you look at the primaries, in the primaries, there were immense amount of negative conversations that happen with regards to Trump," he continued. "However, when these conversations started picking up pace, in the final days, it meant a huge game opening for Trump and he won the Primaries with a good margin."
Silicon Valley Braces for Uncertainty After Donald Trump's Victory--Update
Donald Trump's election victory is seen as a blow to Silicon Valley, putting the presidency in the hands of a vocal critic of several big technology companies and an advocate of policies tech executives have said could hurt the industry's development. During his campaign, Mr. Trump didn't offer a specific plan for how he would tackle technology policy -- unlike his Democratic opponent Hillary Clinton, who in June issued a detailed tech platform that executives broadly applauded. Meanwhile, Mr. Trump's advocacy of tighter limits on immigration and trade alarmed an industry that prizes high-skilled immigrants and gets most of its revenue from overseas. The electorate's endorsement of Mr. Trump's populist message, which broadly blamed elites for the problems of many disaffected Americans, could also spell trouble for Silicon Valley, which has spawned companies that delivered far more in profits and stock-market valuations than they have jobs for middle-class workers. Mr. Trump took aim at several big names in technology during the campaign.
AI successfully predicts the results of the US presidential election
The MogIA artificial intelligence (AI) platform has successfully predicted its fourth US election in a row, paving the way for the potential of this new technology in the future. This election in particular tested the system's ability to predict the results of a presidential race as its prediction was the opposite of what many pre-election polls indicated, leading some to believe that it would lose its streak of successful predictions. MogIa makes its predictions by utilising 20 million data points from a number of online services including Google, Twitter and YouTube. It then analyses the data it collects related to public engagement from social media posts before making a decision as to who will win. Sanjiv Rai, the founder of the Indian startup Genic.ai that developed MogIA, explained how the system operates: "While most algorithms suffer from programmers' /developers' biases, MogIA aims at learning from her environment, developing her own rules at the policy layer and developing expert systems without discarding any data."
GoPro Is Recalling Every Single One of Its New Drones
Beleaguered action camera maker GoPro is recalling its new Karma drone just weeks after it launched, the company announced late Tuesday as many Americans were glued to coverage of the Presidential election. The recall affects all approximately 2,500 Karma units GoPro has sold thus far, representing a major blow as the holiday shopping season draws near. GoPro says it issued the recall after it was discovered that the Karma lost power during flight in "a very small number of cases." No injuries or property damage has been reported as a result of the malfunctions, the company says. Those who have purchased a Karma will receive a full refund.
Data mining reveals the world's healthiest cuisines
Jean Brillat-Savarin was a 19th-century French lawyer famed for his writings on gastronomy. In his most famous work, he said: "Dis-moi ce que tu manges, je te dirai ce que tu es." Or "Tell me what you eat and I will tell you what you are." This idea--that you are what you eat--has become increasingly popular. Since Brillat-Savarin's time it has been used as the title of various cookbooks and health guides; for some it is a way of life.
Meet Watson - How Artificial Intelligence Can Even Make Compliance Cognitive And Cool
They say what happens in Vegas stays in Vegas, but I keep telling everyone I know about the remarkable innovations I saw at IBM World of Watson 2016 conference, held from Oct. 24 to 27 at beautiful Mandalay Bay, where I was among the 17,000 attendees. As I was "welcomed to the World of Watson," I learned that Watson (yes, the computer that was on Jeopardy) is IBM's researchers' vision "to design an intelligent system that brings man and machine together to create a better world." If that sounds like a utopian fantasy, prepare to be amazed at how real that vision has become: Watson is changing how doctors cure disease, how companies analyze their social media footprints, and how financial services firms adapt to ever-changing regulations. I could write an entire book on all that Watson has to offer, but my focus here is on Watson's ability to help financial services firms meet compliance demands more efficiently and with less cost – a much needed innovation as firms spend $99 billion on addressing compliance, thus limiting their ability to invest in growth, according to Marc Andrews, VP of Industry Analytics Solutions for IBM. If you're scratching your head at why regulatory compliance costs are so high, picture this: Linda, a trader at a high-profile brokerage firm, receives a bad performance review from her supervisor.
An artificial intelligence system that correctly predicted the last 3 elections says Trump will win
The polls have consistently showed Hillary Clinton with a lead over Donald Trump in recent weeks, but an artificial intelligence system has a different prediction for the outcome of the presidential election. The system, called MogIA, uses 20 million data points from online platforms like Google, YouTube, and Twitter to come up with its predictions, according to CNBC. MogIA correctly predicted the past three presidential elections as well as the Democratic and Republican primaries. "While most algorithms suffer from programmers/developer's biases, MoglA aims at learning from her environment, developing her own rules at the policy layer and develop expert systems without discarding any data," Sanjiv Rai, the founder of Indian start-up Genic.ai MogIA uses data such as engagement with tweets and videos posted to the platforms the system looks at.
Ad agencies are rushing out artificial intelligence services - Digiday
With Google, Microsoft and Facebook all pushing artificial intelligence, AI is becoming the next battleground for agencies, perpetually on the hunt for new service lines. AI basically gives machines the ability to think like humans. A simple example: You can have a one-on-one conversation with another person, but AI can talk to 500 people at the same time and make decisions based on real-time data to learn what's going on in each conversation, explained Dave Meeker, vp of Isobar's U.S. operations. In the context of advertising and marketing, AI theoretically means more personalized and interactive consumer experience, including targeted programmatic ad buys, identification of site visitors' decision-making patterns, conversational commerce like bots, as well as smarter search and recommendation engines on websites, according to six agency executives interviewed for this article. At the moment, with the help of AI developed by big tech companies, agencies are able to serve cognitive ads and integrate voice-activated assistants in their campaigns.