A new study has revealed that artificial intelligence can now generate images of real people that are virtually impossible to tell apart from genuine photographs.
Using AI models ChatGPT and DALL·E, a team of researchers from Swansea University, the University of Lincoln and Ariel University in Israel, created highly realistic images of both fictional and famous faces, including celebrities.
They found that participants were unable to reliably distinguish them from authentic photos—even when they were familiar with the person’s appearance.
Researchers are one step closer to understanding how some plants survive without nitrogen. Their work could eventually reduce the need for artificial fertilizer in crops such as wheat, maize, or rice.
“We are one step closer to greener and climate-friendlier food production,” say Kasper Røjkjær Andersen and Simona Radutoiu, both professors of molecular biology at Aarhus University. The findings are published in the journal Nature.
The two researchers led a new study where they discovered an important key to understanding how we can reduce agriculture’s need for artificial fertilizer.
If you find 3D printers to be just a little too coldly futuristic, this contraption might be more to your liking. Scientists from Cornell University have created a machine that knits solid 3D objects out of nice old-timey conventional yarn.
The prototype device is made mainly of 3D-printed components, and incorporates a bed of knitting needles arranged in a 6 × 6 block. A motorized knitting head dispenses yarn to any of those needles in sequence, as determined by a program on a computer that’s controlling it.
Each of the needles in turn consists of a 3D-printed symmetrical double hook connected to a brass support tube. Because the front and rear sections of the hook move independently, it’s possible for the device to either knit or purl, depending on which section of the hook picks up the first loop of yarn.