The world is experiencing a state of unprecedented connectivity thanks to technology. But language remains a barrier. Even though technological devices can quickly and easily connect, humans from different parts of the world often can’t. Translation software may be the solution, but it isn't yet perfect—here's why.

Incredible drone pictures show the demolition of a bridge on the M25 between Junctions 10 and 11 - which has been the cause of this weekend's five-mile traffic queues.The birdseye images show the section of the road that has been stripped away, surrounded by forklift trucks and HGVs.It is the...

Recently, a group of researchers found that a popular AI software called CLIP was biased against black people and women. The software has been used in many AI research projects, including robots. The researchers believe that the source of the bias is CLIP, which was trained using millions of images and text captions scraped from the web. They propose several ways to prevent the proliferation of prejudiced machines, including changing the definition of success. Maynard Holliday, deputy CTO for critical technologies at the US Department of Defense, says that the results speak to the need to ensure that people who build AI systems and assemble the datasets used to train AI models come from diverse backgrounds. To read more, use the button below to open the original external article.