The Django administration site is great — fully-featured, easy to use, secure by design, rock solid … and somewhat ugly, which can be...

We wrote earlier about the COVID-19 shutdown threat to gallery solvency, and possible creditor claims to works on consignment.“…the sector requires a strong...

Video is below Could cash ever become criminal? I read an article on this a while ago and it’s not...

Introduction Axios is a Promised-based JavaScript library that is used to send HTTP requests. You can think of it as an alternative to JavaScript's...

First Data, a popular payment processing platform, has agreed to enter into a settlement with the Federal Trade Commission (FTC) for its...

May 20, 2020 – The Philippines Securities and Exchange Commission (SEC) has warned the public against PAYADSTARS/PAY AD STARS, which is enticing the...

Numeraire is one of the most unique cryptocurrencies to have emerged so far. It also has serious potential as an asset. To understand...

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Don't worry, Mrs. Rowling. We'll have you understanding Bitcoin before you can say "Quidditch".

This is from Plugged In, TNW’s bi-weekly newsletter on gear and gadgets. Subscribe to it (and our other great newsletters) here. Today, I’m gonna talk about Apple’s butterfly keyboard. More specifically, its demise — something worthy of both mourning and celebration. “Hold on,” I hear you screech, “what the fuck is the butterfly keyboard?” First off, language. You can find a long-form answer to your question here, but the TL;DR is it’s basically an Apple-designed keyboard mechanism that was meant to deliver a lower typing profile and better tapping experience. Thing is — and this is a vital consideration — it…

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Robots can be made from soft materials, but the flexibility of such robots is limited by the inclusion of rigid sensors necessary for their control. Researchers created embedded sensors, to replace rigid sensors, that offer the same functionality but afford the robot greater flexibility. Soft robots can be more adaptable and resilient than more traditional rigid designs. The team used cutting-edge machine learning techniques to create their design.