Google's next-generation Tensor processing hardware will also benefit from AlphaEvolve. DeepMind reports that the AI created ...

Abstract: 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 ...

Apart from the ubiquitous blue logo signage along the Katy Freeway, there's only one surefire way to spot the Becks Prime off Dairy Ashford: Look for the trees. Becks Prime's "never frozen" and ...

Abstract: 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 ...

34 potential prognostic factors were used in this analysis. Results Four classification trees (prognostic pathways or decision trees) were created, one for each outcome. The most important predictor ...

Piece-wise non-linear regression is a long-standing problem in the machine learning domain that has long plagued machine learning researchers. It is extremely difficult for users to determine the ...

Researchers at GSK also took a structure-based design approach to developing 3,5-dimethylisoxazole-based BET bromodomain inhibitors. Starting from 4-phenyl-3,5-dimethylisoxazole, it was shown that a ...

Value Learning for Throughput Optimization of Deep Neural Networks by Benoit Steiner et al., MLSys 2021 A Flexible Approach to Autotuning Multi-Pass Machine Learning Compilers by Phitchaya Mangpo ...