When it comes to creative projects, giving and receiving feedback in a way that’s actually productive can be tricky. In this piece, the author offers two research-backed suggestions: First, ask for broad feedback out of curiosity around how

NASA’s James Webb Space Telescope has produced the deepest and sharpest infrared image of the distant universe to date. Known as Webb’s First Deep Field, this image of galaxy cluster SMACS 0723 is overflowing with detail.

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Imagine Bach’s “Cello Suite No. 1” played on a strand of DNA.

This scenario is not as impossible as it seems. Too small to withstand a rhythmic strum or sliding bowstring, DNA is a powerhouse for storing audio files and

Mojo Vision’s microLED display has record-breaking pixel density and a somewhat mysterious purpose.

 

A Silicon Valley-based startup has recently emerged from stealth mode to reveal what it claims is the smallest, most pixel-dense dynamic display ever built. Mojo Vision’s

Mars will stay in the spotlight through the 2030s thanks to a sample return mission. But in the 2040s, Uranus will take center stage, and Saturn’s moon Enceladus will steal the show in the 2050s. That’s according to the

Identity, trust, and trust sharing are indispensable to our belief in the validity of the services we interact with on the internet….

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Since the Covid-19 pandemic it’s unlikely that creativity and creative work will ever look the same again. Adobe investigates how we can enter this new phase with a positive, collaborative, and innovative approach.

If there’s one thing we can be certain of,

In a recently published paper, NASA scientists and engineers give new details about the agency’s DAVINCI mission, which will descend through the layered Venus atmosphere to the surface of the planet in mid-2031. DAVINCI is the first mission

The Brooklyn-based artist Dustin Yellin (previously) was commissioned by the New York City Ballet to install a new series of his figurative collages. The artist refers to the sculptures as Psychogeographies because “they feel like maps of the

We present Imagen, a text-to-image diffusion model with an unprecedented degree of photorealism and a deep level of language understanding. Imagen builds on the power of large transformer language models in understanding text and hinges on the strength of diffusion models in