For the obstacle-avoiding rectilinear Steiner minimal tree (OARSMT) problem, we present a Steiner-point-based algorithm that achieves the best practical performance among existing heuristics. We first ...

MIT researchers developed SEAL, a framework that lets language models continuously learn new knowledge and tasks.

As the basic model for very large scale integration routing, the Steiner minimal tree (SMT) can be used in various practical problems, such as wire length optimization, congestion, and time delay ...

To address this issue, we proposed piece-wise non-linear regression tree (PS-Tree), an automated piece-wise non-linear regression method based on decision tree and genetic programming techniques.

Bromodomains are protein modules that bind to acetylated lysine residues. Their interaction with histone proteins suggests that they function as “readers” of histone lysine acetylation, a component of ...