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If planes were as reliable as in-flight Wi-Fi, we’d never get on a flight again. Fortunately, industry group Seamless Air Alliance is working to change that. The group operates under the mission of bringing “industries and technologies together to make the in-flight internet experience simple to access and delightful to use.” Its idea? To get rid of the toxic brew of current proprietary systems operated by each airline and instead establish a standard for in-flight Wi-Fi that can be flexibly swapped in and out to better allow airlines to respond as technology improves.

“The goal of the Alliance is to deliver high-speed, low-latency 5G quality access inside the plane,” the FAQ section of the group’s website states. “Access to the network will be seamless, meaning any enabled user device will work without any login, sign-on or other activities. The internet experience itself will be as good as, and in many cases better than, the home experience, including low latency, high speed, and a gate-to-gate continuity of service.”

An article for IEEE Spectrum notes that “a plane’s antennas are currently stored in a relatively small hump on the top of the craft, typically about 45 centimeters high. Even though it’s so small, that hump causes tremendous amounts of wasted jet fuel, [Seamless Air Alliance CEO Jack] Mandala says, causing an estimated minimum of an extra $75,000 per aircraft per year in fuel costs.”

Of course, the computers and data centers that support AI’s complex algorithms are very much dependent on electricity. While that may seem pretty obvious, it may be surprising to learn that AI can be extremely power-hungry, especially when it comes to training the models that enable machines to recognize your face in a photo or for Alexa to understand a voice command.

The scale of the problem is difficult to measure, but there have been some attempts to put hard numbers on the environmental cost.

For instance, one paper published on the open-access repository arXiv claimed that the carbon emissions for training a basic natural language processing (NLP) model—algorithms that process and understand language-based data—are equal to the CO2 produced by the average American lifestyle over two years. A more robust model required the equivalent of about 17 years’ worth of emissions.

In focal brain diseases, a patient’s neural network loses key connections, preventing the brain from functioning as it miraculously should. But what if there was a way to restore those connections? An EU funded study is seeking to do just that by getting real biological neurons to synaptically communicate with artificial ones.

Though still in the early stages of study, SYNCH, a team of scientists from the U.K., Switzerland, Germany, and Italy, have created what they describe as a “synaptically connected brain-silicon Neural Closed-loop Hybrid system.” Basically, they’ve taken actual brain cells and artificial brain cells, and got them talking back and forth over the internet.

Read updates in Chinese: 新冠病毒疫情最新消息汇总

Fears take hold that a global pandemic is inevitable.

From eastern Asia, Europe, the Middle East, the Americas and Africa, a steady stream of new cases on Friday fueled the sense that the new coronavirus epidemic may be turning into a global pandemic, with some health officials saying it may be inevitable.