Group items tagged

"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

"Ultimately, he suggests, each user would have their own "large language model" (LLM), the underlying technology of services such as ChatGPT, which would be trained on their own speech and behaviour patterns, to let them generate extremely personalised responses to queries and requests. Such systems could be a natural progression from AI tools that already exist today. Services such as Gmail can summarise and suggest replies to emails based on previous messages, while Microsoft Teams will transcribe and summarise video conferences, automatically generating a to-do list from the contents."

""All passwords are Diceware generated and contain six words," Mira says on her website. "I write the passwords by hand and do not keep a copy of what I have sent to you. The passwords are sent by U.S. Postal Mail, which cannot be opened by the government without a search warrant." She also recommends you alter the pass phrase slightly after she sends it to you."

"That is when the alarm bells went off for Mr Ang. "I saw that there was a text file inside the encrypted folder that showed that it was ransomware, asking for payment to decrypt the files." The company decided not to pay the ransom of US$1,000 (S$1,447). Instead, it spent a week rebuilding about 3,000 infected files with data of the accounts and stocks from hard copy files."

"Ringing Bells also plans to sell other more expensive handsets - ranging in price up to about $100 (£75) - at a profit. But, with just over a week to go until Freedom 251's launch, critics remain unconvinced. "I find it difficult to believe that any sort of phone can be manufactured for 251 rupees, so it's difficult to see what kind of business model they have," says Pranav Dixit, a tech expert at the news site Factor Daily."

"or its latest update, which it released Wednesday, the COVID-19 Scenario Modeling Hub combined nine different mathematical models from different research groups to get an outlook for the pandemic for the next six months. "Any of us who have been following this closely, given what happened with delta, are going to be really cautious about too much optimism," says Justin Lessler at the University of North Carolina, who helps run the hub. "But I do think that the trajectory is towards improvement for most of the country," he says. The modelers developed four potential scenarios, taking into account whether or not childhood vaccinations take off and whether a more infectious new variant should emerge. "

"To create Discover Weekly, there are three main types of recommendation models that Spotify employs: Collaborative Filtering models (i.e. the ones that Last.fm originally used), which analyze both your behavior and others' behaviors. Natural Language Processing (NLP) models, which analyze text. Audio models, which analyze the raw audio tracks themselves."

A leading privacy watchdog files a complaint with US regulators urging them to investigate Google's Buzz social network.

"There's no concrete evidence of long-term harm to our children caused by using our phones around them, but there's enough evidence of potential short-term effects that it makes sense to be mindful of it. Some amount of phone use around our kids is probably okay, but if we're absorbed in our devices in a way that interferes with our ability to connect with and respond to them, this can become a problem. Also, let's be kind to ourselves."