"learning to play a musical instrument, you have to play the same songs and scales over and over again. YouTube's algorithm doesn't seem to know this, and so it demonetized a piano tutorial channel for "Repetitious content.""
" filters are so expensive that only US Big Tech companies could afford them, and they are incapable of distinguishing fair dealing (including things like the music playing in the background of the video of your child's first steps) from infringement, and they are incredibly error prone, to say nothing of the problems of allowing anyone in the world to identify creative works as their copyright with no means to weed out false and fraudulent claims."
""When you have a fully digital system you have no weapon to defend yourself if someone turns it off," he says.
"If Putin invades Gotland [Sweden's largest island] it will be enough for him to turn off the payments system. No other country would even think about taking these sorts of risks, they would demand some sort of analogue system.""
Ahhh ITGS group - a great discussion on the evoting problem would have been perfect for your Paper 2. "Remember: all of these principles of security, anonymity and verifiability have to be achieved in an understandable way. If they can't be then you get the opportunity for losers to claim fraud, and their supporters to believe them."
"Microsoft has pulled its latest Windows 10 update offline after some users complained of missing files. It's the latest in a string of incidents with regular patches and Microsoft's larger Windows 10 updates that have been causing issues for some PC users this year. While Microsoft tests Windows 10 with millions of beta testers, there are signs that this public feedback loop isn't always working. Earlier this year Microsoft delayed its April 2018 Windows 10 update due to last minute Blue Screen of Death issues, and then had to fix desktop and Chrome freezing issues after it was shipped to more than 600 million machines. "
"Georgetown University's Center on Privacy and Technology highlighted the April 2017 episode in Garbage In, Garbage Out, a report on what it says are flawed practices in law enforcement's use of facial recognition.
The report says security footage of the thief was too pixelated and produced no matches while high-quality images of Harrelson returned several possible matches and led to one arrest."
"However, according to data on the force's website, 92% (2,297) of those were found to be "false positives".
South Wales police admitted that "no facial recognition system is 100% accurate", but said the technology had led to more than 450 arrests since its introduction. It also said no one had been arrested after an incorrect match."
"The Bank of England has previously highlighted the impact of trading algorithms. "Some markets appear to have become more fragile, as evidenced by episodes of short-term volatility and illiquidity over the past couple of years," Threadneedle Street said last December, warning of a move towards "fast, electronic trading."
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"Facebook announced late Friday that it had eliminated jobs in its trending module, the part of its news division where staff curated popular news for Facebook users. Over the weekend, the fully automated Facebook trending module pushed out a false story about Fox News host Megyn Kelly, a controversial piece about a comedian's four-letter word attack on rightwing pundit Ann Coulter"
"Instead password strength meters measure entropy - the amount of time or energy needed to crack a password using brute force methods. The longer and more complex the password, the longer it will take to crack by simply iterating through a list of all possible passwords. According to Stockley, however, brute force is a password cracker's last resort."
"Unlike other companies, Zebra's algorithms provide an actual diagnosis, completely automatically using only imaging data. This is a very new field - older technology was always driven by the radiologist, and never automatic. The algorithms are part of the Zebra Analytics Platform - a cloud based analytics engine that receives medical imaging studies, analyzes them and returns results to participating hospitals and physicians."
"In Neural Photo Editing With Introspective Adversarial Networks, a group of University of Edinburgh engineers and a private research colleague describe a method for using "introspective adversarial networks" to edit images in realtime, which they demonstrate in an open project called "Neural Photo Editor" that "enhances" photos by predicting what should be under your brush."
"Facebook is mired in a series of controversies about the curation of its news feed, from its broadcasting live killings, to editing out an iconic photo of the Vietnam war, to accusations of political bias. It recently tried to smooth the process out by firing its human editors … only to find the news feed degenerated into a mass of fake and controversial news stories."
"The algorithm, called Compas (Correctional Offender Management Profiling for Alternative Sanctions), is used throughout the US to weigh up whether defendants awaiting trial or sentencing are at too much risk of reoffending to be released on bail.
Since being developed in 1998, the tool is reported to have been used to assess more than one million defendants. But a new paper has cast doubt on whether the software's predictions are sufficiently accurate to justify its use in potentially life-changing decisions."
"Cellebrite, the Israeli-founded and now Japanese-owned company behind some of the software, claims a wider rollout would solve problems over failures to disclose crucial digital evidence that have led to the collapse of a series of rape trials and other prosecutions in the past year. However, the move by police has prompted concerns over privacy and the potential for software to introduce bias into processing of criminal evidence."
"It is also self-improving. The 10-year-old grading software leverages deep learning algorithms to "compare notes" with human teachers' scores, suggestions, and comments. An engineer involved in the project compared its capabilities to those of AlphaGo, the record-breaking AI Go player developed by Google subsidiary DeepMind."