Group items tagged

"A Russian YouTuber could face five years in jail after he filmed himself playing Pokémon Go in a church. Ruslan Sokolovsky was filmed catching Pokémon in the Church of All Saints in Yekaterinburg at the beginning of August, when the Pokémon Go hype was at its height."

"A new strain of ransomware has been targeting government agencies and educational institutions in the United States, through scam emails that pretend to be something important. The malware, dubbed as 'MarsJoke' by Proofpoint security researchers, reportedly began a large-scale email campaign which distributed the cryptomalware last week. The developers are sending out emails which seems to be masked as a message from an airline company."

"Train the Deep Learning Ahem Detector with two sets of audio files, "a negative sample with clean voice/sound" (minimum 3 minutes) and "a positive one with 'ahem' sounds concatenated" (minimum 10s) and it will detect "ahems" in any voice sample thereafter."

"This figure compares a traditionally trained algorithm to Aarabi and Guo's heuristically trained neural net."

"The school will teach cyber skills to some of the UK's most gifted 16- to 19-year-olds. It will select on talent alone, looking in particular for exceptional problem solvers and logic fiends, regardless of wealth or family background, according to Alastair MacWillson, a driving force behind the initiative. "The cyber threat is the real threat facing the UK, and the problem it's causing the UK government and companies is growing exponentially," said MacWillson, chair of Qufaro, a not-for-profit organisation created by a consortium of cybersecurity experts for the purposes of education."

"ne of the creepiest - and most useful - Google inventions has been its ability to predict traffic jams by using anonymised ping-backs from mobile phones to tell how fast everyone is moving."

"The performance of LipNet compares incredibly favorably to human lipreading experts on GRID corpus, the largest publicly-available sentence-level lipreading dataset. In fact, where human experts got just 52 percent, LipNet scored 93 percent. Its sentence-based approach to lip-reading also smashed the best previous attempt by a machine, which managed 79.6 percent accuracy on the same dataset."

"To demonstrate how reality may differ for different Facebook users, The Wall Street Journal created two feeds, one "blue" and the other "red." If a source appears in the red feed, a majority of the articles shared from the source were classified as "very conservatively aligned" in a large 2015 Facebook study. For the blue feed, a majority of each source's articles aligned "very liberal." These aren't intended to resemble actual individual news feeds. Instead, they are rare side-by-side looks at real conversations from different perspectives. "

""Let's decide what it means to be a programmer,"Martin says in the video. "Civilization depends on us. Civilization doesn't understand this yet." His point is that in today's world, everything we do like buying things, making a phone call, driving cars, flying in planes, involves software. And dozens of people have already been killed by faulty software in cars, while hundreds of people have been killed from faulty software during air travel.  "We are killing people," Martin says. "We did not get into this business to kill people. And this is only getting worse.""

"95% of the US population, 93% of Europeans and 92% of Asians can't do "level three" tasks like "You want to know what percentage of the emails sent by John Smith last month were about sustainability" -- tasks where "use of tools (e.g. a sort function) is required to make progress towards the solution. The task may involve multiple steps and operators. The goal of the problem may have to be defined by the respondent, and the criteria to be met may or may not be explicit.""

"Are Jews evil? How do you want that question answered? This is our internet. Not Google's. Not Facebook's. Not rightwing propagandists. And we're the only ones who can reclaim it."

"But with all of the successes of AI, it's also important to pay attention to when, and how, it can go wrong, in order to prevent future errors. A recent paper by Roman Yampolskiy, director of the Cybersecurity Lab at the University of Louisville, outlines a history of AI failures which are "directly related to the mistakes produced by the intelligence such systems are designed to exhibit." According to Yampolskiy, these types of failures can be attributed to mistakes during the learning phase or mistakes in the performance phase of the AI system."

"Facebook will rely on users to report fake news despite evidence that suggests users have a difficult time assessing or identifying fake news. Teens seem to be especially vulnerable to fake news. A recent study by researchers at Stanford found that middle and high school students have a difficult time detecting fake news from real news, or detecting bias in tweets and Facebook statuses."

"Yet the balance of experimental evidence over the past thirty years suggests that this is not the case. Not only would removing anonymity fail to consistently improve online community behavior - forcing real names in online communities could also increase discrimination and worsen harassment."

"The robot arm monitors and attempts to contain a viscous blood-red liquid as it spreads out from the base of the arm, spattering more liquid around its enclosure."

"German government officials have said they are investigating an unprecedented proliferation of fake news items amid reports of Russian efforts to influence the country's election later this year."

"KFC has teamed up with Baidu - the search engine company often referred to as "China's Google" - to develop facial-recognition technology that can be used to predict customer's orders."