Researchers have discovered that problems solvable in time t only require approximately √t bits of memory, challenging long-held beliefs about computational complexity. This breakthrough, presented by MIT's Ryan Williams, demonstrates that efficient memory usage can significantly reduce the space needed for computation. The findings suggest that optimizing memory is more crucial than merely increasing it.