Thanks to a new machine-learning algorithm, scientists can now anticipate and recognize a protein's varied structural iterations.

Machine learning models can be a powerful tool to analyze the structure of nanopores in order to uncover tantalizing new properties. But these models struggle to describe what a nanopore looks like.

Intel unveils a new machine programming system, in conjunction with MIT and Georgia Tech: machine inferred code similarity.

The Machine Inferred Code Similarity (MISIM) system is an automated engine capable of determining when two pieces of code, data structures of algorithms perform the same or similar tasks.

AI- and machine learning-powered programming tools have the potential to reshape industries. But they have a ways to go.

"By leveraging machine learning-based approaches in the design workflow, we can accelerate the design process to truly leverage the design freedom afforded by lattice structures and take advantage ...

Not so fast, said Gottschlich. Machine programming will always require some data in the form of code, and professionals to manage the more specialized aspects of programming.

The RNA molecules are then used to program protein synthesis. However, exactly how the mitochondrial RNA polymerase actually works has not been clear, as its structure was unknown -- until now.

“This is a nationwide issue with Dominion Voter Access Terminals in the counties that use them,” Benson said at a Monday news conference in Detroit. “Of course, not all the machines, just ...