New research has revealed another set of tasks most humans can do with ease that artificial intelligence (AI) stumbles over — reading an analogue clock or figuring out the day on which a date will ...

A study led by the University of Oxford has identified a surprising source of entropy in quantum timekeeping—the act of measurement itself. In a study published in Physical Review Letters, scientists ...

The steady tick of a clock usually feels simple and dependable. Something swings or vibrates in a controlled rhythm and marks the passing of each moment. What you rarely notice is the hidden cost ...

If you can read a traditional analog clock then congratulations, you’re smarter than artificial intelligence. AI is proving to be good at a lot of things, but reading an old-fashioned clock is not one ...

These days, artificial intelligence can generate photorealistic images, write novels, do your homework, and even predict protein structures. New research, however, reveals that it often fails at a ...

Some of the world’s most advanced AI systems struggle to tell the time and work out dates on calendars, a study suggests. While AI models can perform complex tasks such as writing essays and ...

Scientists built a tiny clock from single-electron jumps to probe the true energy cost of quantum timekeeping. They discovered that reading the clock’s output requires vastly more energy than the ...

Quantum timekeeping is supposed to be the ultimate in efficiency, with tiny devices that tick using the rules of quantum mechanics instead of swinging pendulums or vibrating quartz. Yet new work on a ...

Graphic illustrating the difference in energy between running a quantum clock (left: a single electron hopping between two nanoscale regions) and reading the ticks of the clock (right). The energy ...