Calling up an IT department for help can be a frustrating experience—the only thing more frustrating is getting scammed out of money. Microsoft, Amazon, and Indian law enforcement identified a potential fraud ring with a ton of tech confiscated during searches in the country.
Discord revealed Teen Safety Assist, a new safety initiative to promote a safer environment for younger users to hang out in. The initiative includes default enabled safety features for teenagers on the app, such as proactive filters and alerts.
Mic modeling has come a long way in just a few years, and modern software plugins, to these ears, get quite close to the real deal. Universal Audio has been at the forefront of this technology for a while and now the company’s released a new condenser microphone that integrates with its equally new Hemisphere mic modeling plugin.
The SC-1 is a large diaphragm condenser microphone, operating as part of the company’s Standard Series that also includes the pre-existing SD-1 and SP-1. The SC-1 launches alongside the Hemisphere plugin that gives users digital access to a full range of classic mics from big-time companies like Neumann, Telefunken, AKG, Sony and others. The plugin uses a similar technology to the company’s Sphere line of modeling microphones, but with a drastic reduction in cost, as the SC-1 costs $500 and Sphere microphones range from $800 to $1,400.
The Hemisphere plugin lets you instantly audition different microphones to suit the take, tweak proximity, adjust filters and more. All of these adjustments can be done before recording or afterward, just like with the Sphere line. One benefit the SC-1 boasts over the Sphere line is that it requires just a single XLR input, while Sphere microphones require two to properly capture that stereo field.
The Hemisphere modeling plugin also extends to those other Standard Series mics, like the SP-1 pencil microphone and the SD-1 dynamic microphone. As for the SC-1 itself, it’s a standard no-frills large-diaphragm condenser with an extended dynamic range and a frequency response from 20 Hz to 20 kHz. There’s also an emphasis on low self-noise output, which makes it easier to transform via the numerous modeling options.
Universal Audio’s SC-1 is available for preorder right now and ships later in the fall. The microphone includes the Hemisphere modeling plugin, so your wallet won’t have to double dip. Additionally, the plugin is a free upgrade for existing SD-1 and SP-1 owners.
This article originally appeared on Engadget at https://www.engadget.com/universal-audios-sc-1-condenser-microphone-comes-with-new-modeling-software-153349656.html?src=rss
An ongoing blame game and scramble to reveal the truth show the perils of reporting on Gaza.
Colorado’s Supreme Court this week had the opportunity to hand down a historic judgment on the constitutionality of “reverse keyword search warrants,” a powerful new surveillance technique that grants law enforcement the ability to identify potential criminal suspects based on broad, far-reaching internet search…
Like more than half of adult Americans, I need a little noise to go to sleep. Some use a white noise machine or their TV, but my preference is podcasts playing on my phone. At least that was my preferred method until iOS 17 came along and messed things up.
Ever since the release of the original Uncharted: Drake’s Fortune in 2007, PlayStation’s first-party lineup has gradually evolved into flashy cinematic affairs. Like tentpole blockbusters or the HBO original series of old, you’re meant to feel the effort that went into these productions, and many of them often have a…
You can’t trust everything on a Wikipedia page, which is why it’s important that you refer to the original sources cited in the footnotes. But sometimes, even the primary sources can lead you astray. Researchers have developed an AI focused on improving the reliability of Wikipedia references by training the algorithms to identify citations on the website that are questionable.
The program, called SIDE, does two things: check if a primary source is accurate and suggest new ones. However, the AI operates under the assumption that a Wikipedia claim is true. This means that, while it can check for the validity of a source, it can’t actually verify claims made in an entry.
In a study, people preferred the AI’s suggested citations to the original 70 percent of the time. The researchers found that in nearly 50 percent of the cases, SIDE presented a source that was already being used by Wikipedia as the top reference. And 21 percent of the time, SIDE was one step ahead when it churned out a recommendation that was already deemed appropriate by human annotators in the study.
While the AI appears to demonstrate it can effectively help an editor verify Wikipedia claims, the researchers admit that alternative programs could outperform their current design in both quality and speed. SIDE is limited in its capabilities — namely, the program only considers references corresponding to web pages. In reality, Wikipedia cites books, scientific articles and info presented through other media beyond text like images and video. But beyond its technical limits, the whole premise of Wikipedia is that any writer anywhere could assign a reference to a topic. The researchers suggest that the use of Wikipedia itself could be limiting to the study. They allude that individuals who plug citations into the website could permeate bias depending on the nature of the topics in question.
Meanwhile, we all know that any program, especially an AI that is dependent on training, could be prone to the exposure of the biases of its programmer. The data used to train and evaluate SIDE’s models could be limited in that regard. But still, the benefits of using AI to streamline fact-checking, or at least use it as a supportive tool, could have reverberating applications elsewhere. Wikipedia and social media companies alike need to contend with bad actors and bots that flood digital town squares with false information. This is especially true and important now more than ever, in the wake of misinformation spreading around the Israel-Hamas war and the upcoming presidential elections in the US. The need to mitigate misinformation online could be catalyzed with AI tools, like SIDE, designed for this exact purpose. But there are still some advances that need to be made before it can.
This article originally appeared on Engadget at https://www.engadget.com/study-shows-ai-program-could-verify-wikipedia-citations-improving-reliability-184543711.html?src=rss
“Why write a memoir when I could get a diary?” This is the question we’d like more celebrities to ask themselves.
This is site is run by Sascha Endlicher, M.A., during ungodly late night hours. Wanna know more about him? Connect via Social Media by jumping to about.me/sascha.endlicher.
