Razer’s Respawn: A Gum and Drink Designed to Improve Gamers’ Focus

Last year, Razer released its Respawn drink, a beverage designed to help gamers improve their focus, and now, in partnership with Wrigley, the company has just unveiled the Respawn By 5 gaming gum, because why not? The new gum is infused with B vitamins and green tea extract, which are both supposed to help improve your focus and reaction time according to Razer. Three flavors are currently available: cool mint, pomegranate watermelon, and tropical punch.

Elevate your play with a gum to maintain mental focus and reaction time. This unique gum combines green tea extract and B vitamins with the invigorating and long-lasting flavors of 5 Gum to keep you razor-sharp while gaming. Experience the same long-lasting taste of 5 Gum with 3 refreshing flavors when you game. Game on with 5 calories or less per piece.

I’d be very curious to try both, but unfortunately, they only seem to be available in the US right now and I’m located in Canada.

–RESPAWN By 5 Gum
–RESPAWN Drinks

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A Brief History of Plastic [Video]

Discover the history of plastic, where it comes from, and why it was first invented in the first place!

For centuries, billiard balls were made of ivory from elephant tusks. But when excessive hunting caused elephant populations to decline, they began to look for alternatives. John Wesley Hyatt took up the challenge. In five years, he invented a new material called celluloid, which would become known as the first plastic. Trace the history of the material that ushered in the “plastics century.”

[TED Ed]

DeepFaceDrawing: An AI That Can Generate Realistic Faces From Rough Sketches

DeepFaceDrawing

As I’m sure you’ve noticed in the past year, Deep learning technologies evolve at a frightening rate, generating images out of almost nothing or seemlessly integrating someone’s face in place of another. DeepFaceDrawing is an AI that can generate a realistic based on a very rough sketch. Watch the demo below!

Our DeepFaceDrawing system allows users with little training in drawing to produce high-quality face images (Bottom) from rough or even incomplete freehand sketches (Top). Note that our method faithfully respects user intentions in input strokes, which serve more like soft constraints to guide image synthesis.

Impressive, isn’t it?

[DeepFaceDrawing: Deep Generation of Face Images from Sketches]