Under the auspices of the Computational Complexity Foundation (CCF)
This paper shows finding the closest vector in a lattice to be NP-hard to approximate to within any factor up to $2^{(\log{n})^{1-\epsilon}}$ where $\epsilon = (\log\log{n})^{-\alpha}$ and $\alpha$ is any positive constant $<{1\over 2}$.