Month: October 2023
Netflix is breaking into live sports – but probably not in the way you imagined
Netflix is looking to tap into the growing global popularity of F1 racing and its own recent success with its Formula 1: Drive to Survive series with a first for the streamer: a live sporting event. But it’s not Formula 1 racing. No, Netflix is doing the unthinkable: combining F1…
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GM’s plan to make more electric trucks keeps running into delays
General Motors’ plan to make more electric trucks has run into another snag. The company had originally planned to kick off production of its EV trucks at its Orion facility in Detroit in 2024 — but now it won’t get started until late 2025. GM said it’s delaying production “to…
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MiCreator Studio hands-on: A $199 portable recording studio worth more than its price tag
Austrian Audio is not exactly a household name. It was formed in 2017 following the closure of AKG's offices in Vienna. And it's mostly stuck to higher-end microphones and headphones. Now the company is dipping its toes into more consumer-friendly territory with the $199 MiCreator Studio, a combination condenser microphone…
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MSI’s new ‘Rapid VA’ gaming monitors are the budget displays I’ve been waiting for
MSI is steamrolling ahead with a ton of new monitors for PC gamers. The Taiwanese brand recently unveiled a new selection of OLED displays, and has now revealed a range of gaming monitors using the company’s new Rapid VA technology. For those not in the know, Vertical Alignment (VA) screens…
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Could MEMS be the next big leap in headphone technology?
If you have a pair of in-ear headphones, there’s a good chance they are using a technology that’s several decades old. Despite attempts to introduce different, exotic-sounding systems like planar magnetic, electrostatic and even bone conduction, most IEMs or in-ear headphones still use either balanced armature or dynamic drivers. But…
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Study: Wearable sensors more accurately track Parkinson’s disease progression than traditional observation
In a study from Oxford University, researchers found that by using a combination of wearable sensor data and machine learning algorithms the progression of Parkinson’s disease can be monitored more accurately than in traditional clinical observation. Monitoring movement data collected by sensor technology may not only improve predictions about disease…
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