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""We have absolutely nothing against bricklayers," Pivac says. "The problem is the average age of bricklayers is going up and it's difficult to attract new young people to the trade." There's a debate on about the future of automation-what it means that machines may be able to match humans at virtually any task. For now, robots are nowhere near that advanced."

"Google's self-driving cars have driven over a million miles in autonomous mode. But when Google brought its testing program to Austin, Texas, one of the vehicles met its match: a cyclist doing a track stand - when a rider shifts very slightly forward and back to maintain balance while keeping feet on the pedals." This is very surprising that this self-driven car would detect a person not even moving and still keep stopped, it will be interesting to see if and how they fix this problem.

Here is an article discussing weather it is the internet fault for globalisation with the loss of language or if it is a problem happens naturally. There is also a mention of equality of access

A number of users are reporting problems with their iPhone 4.

More on those dreaded skimmers - be careful - but more importantly is there a way to solve this problem?

Well it has happened - and all with such ignorance no wonder the UK has so many problems when things are decided in such a poor and misunderstood way.

Woweee - look at these and you realise the economics and problems with security of data...

This is the problem with a database with such economic value!

"These appliances are gradually taking over the world's landfills, leading to a global environmental problem that has so far gone largely unnoticed. The United States is the the greatest perpetrator, generating 9.4 million metric tons of waste per year in 2012 - around 29.8 kilograms per person."

"Unskilled manual laborers have felt the pressure of automation for a long time - but, increasingly, they're not alone. The last few years have been a bonanza of advances in artificial intelligence. As our software gets smarter, it can tackle harder problems, which means white-collar and pink-collar workers are at risk as well. Here are eight jobs expected to be automated (partially or entirely) in the coming decades. Call Center Employees call-center Telemarketing used to happen in a crowded call center, with a group of representatives cold-calling hundreds of prospects every day. Of those, maybe a few dozen could be persuaded to buy the product in question. Today, the idea is largely the same, but the methods are far more efficient. Many of today's telemarketers are not human. In some cases, as you've probably experienced, there's nothing but a recording on the other end of the line. It may prompt you to "press '1' for more information," but nothing you say has any impact on the call - and, usually, that's clear to you. But in other cases, you may get a sales call and have no idea that you're actually speaking to a computer. Everything you say gets an appropriate response - the voice may even laugh. How is that possible? Well, in some cases, there is a human being on the other side, and they're just pressing buttons on a keyboard to walk you through a pre-recorded but highly interactive marketing pitch. It's a more practical version of those funny soundboards that used to be all the rage for prank calls. Using soundboard-assisted calling - regardless of what it says about the state of human interaction - has the potential to make individual call center employees far more productive: in some cases, a single worker will run two or even three calls at the same time. In the not too distant future, computers will be able to man the phones by themselves. At the intersection of big data, artificial intelligence, and advanced

"But one church in Lichfield, Staffordshire, faced a different fundraising problem: to pay a £6,000 bill demanded for photographs used on its website. The case came to the attention of Gavin Drake, the communications director for the diocese's 600 churches. In creating the church's website, a volunteer had included a couple of images sourced from Getty, a large picture agency, without paying for them. A couple of months later, Getty sent the church a demand for £6,000."

"But the bigger problem with things like public tweets is that no-one knows what information can be derived from them, either now or in the future. I write as a data analyst who's done a fair bit of work with this kind of material. What follows are a few techniques that aren't at all obvious to the average Twitter user. They go far beyond reading the surface text (or metadata) of an individual tweet. And these are just some of the techniques currently used to mine this data, ethically or unethically, legally or illegally."

"O'Neill recounts an exercise to improve service to homeless families in New York City, in which data-analysis was used to identify risk-factors for long-term homelessness. The problem, O'Neill describes, was that many of the factors in the existing data on homelessness were entangled with things like race (and its proxies, like ZIP codes, which map extensively to race in heavily segregated cities like New York). Using data that reflects racism in the system to train a machine-learning algorithm whose conclusions can't be readily understood runs the risk of embedding that racism in a new set of policies, these ones scrubbed clean of the appearance of bias with the application of objective-seeming mathematics. "

"pledging to fix the company's problems, but instead 2018 turned into 12 months of mea culpas, self-inflicted scandals, and screwups."

"About 70% of the world's online traffic is reckoned to pass through Loudoun County. But there is a big problem, centred on a power company called Dominion, which supplies the vast majority of Loudoun County's electricity. According to a 2017 Greenpeace report, only 1% of Dominion's total electricity comes from credibly renewable sources:"

"The groundbreaking artificial intelligence system, developed by the AI-outfit DeepMind with Moorfields eye hospital NHS foundation trust and University College London, was capable of correctly referring patients with more than 50 different eye diseases for further treatment with 94% accuracy, matching or beating world-leading eye specialists."

"But, for a growing number of users - and mental health experts - the very positivity of Instagram is precisely the problem. The site encourages its users to present an upbeat, attractive image that others may find at best misleading and at worse harmful. If Facebook demonstrates that everyone is boring and Twitter proves that everyone is awful, Instagram makes you worry that everyone is perfect - except you."

"These exploits are based on chip engineering flaws, not on software flaws. Apple, Google, Abode, Microsoft, and other software companies didn't write poor software or bad Operating Systems to cause these problems to occur. Rather, the chip manufacturers - Intel, AMD and ARM - designed and then engineered computer chips with flaws built into them. Once discovered, those flaws allow the Meltdown and Spectre exploits to be run. Worse, these chips have been sold with consumer computers, servers and mobile devices since 1995. so the impact is, potentially, both personal and global in scope."

""AI can pick up missed cues and suggest nudges to bridge the gap in emotional intelligence and communication styles. It can identify optimal ways to discuss common problems and alleviate common misunderstandings based on these different priorities and ways of viewing the world. We could be looking at a different gender dynamics in a decade.""