Don't Panic Labs Reading List

DPL Reading List – July 10, 2020


| July 10, 2020 | in

Each Friday, we share a curated list of articles we found during the past week. Here’s the list of the new and interesting ones we found this week. If there’s an article you think we should read, let us know in the comments below.


Microsoft’s new Teams features fight video conferencing fatigue – Get ready for emojis and video filters! Zoom fatigue is real and Microsoft is combatting it with several new features to its Teams platform.


Intel details its USB4-compliant Thunderbolt 4 standard – While it’s not any faster than the previous generation, Thunderbolt 4 will provide protection against direct memory attacks (DMA), such as the recent “Thunderspy” vulnerability (where a hacker can theoretically steal data from your device).


Alphabet’s Loon balloons provide their first commercial internet service in Kenya – Their 35-balloon fleet provides internet across 50,000 square kilometers. Download speeds of 18.9Mbps have achieved a downlink speed of 18.9 Mbps last month. The company hopes to offer internet connectivity as part of more commercial services around the world and it has several other projects in the pipeline.


New H.266 codec uses half the data to stream 4K video – The German company that helped develop the H.264, H.265, and MP3 formats recently unveiled its new H.266/Versatile Video Coding (VVC) standard. It reduces data by around 50% of what H.265 HEVC requires while not compromising visual quality.


How Businesses Have Successfully Pivoted During the Pandemic – Pivoting is a lateral move for a company’s business model. Here’s a look at three conditions that are necessary for these moves to work.


Five things schools can learn from this new Zoom summer camp – A new Zoom-based summer camp demonstrates ways that schools can remotely instruct students.


A high-tech glove can translate sign language with 99-percent accuracy – Researchers have developed a glove that translates sign language into written and spoken words. The real-time system interprets 660 American Sign Language signs with 98.63% accuracy. The hope is that it could be used to teach more people sign language and help deaf people communicate with non-sign language users.

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