Identifying and mitigating unknown disturbances to complex systems poses a critical challenge in a wide range of disciplines. Here, the authors use machine learning to identify unknown ...

more advanced statistical techniques and a radiomics-based CT-PCI-participated MLR model will be developed, which may enhance the predictive ability of PCI. The present study aimed to predict surgical ...

HiGHS is a high performance serial and parallel solver for large scale sparse linear optimization problems of the form $$ \min \quad \dfrac{1}{2}x^TQx + c^Tx \qquad \textrm{s.t.}~ \quad L \leq Ax \leq ...

Before entering any Memphis vs. Virginia picks, you'll want to see the college basketball predictions from the advanced computer model at SportsLine. The model simulates every Division 1 college ...

Tennessee versus Western Carolina can be watched on SEC Network+. Andy Brock (play-by-play), Steve Hamer (analyst) and Sarah Detwiler (reporter) will be on the call. We occasionally recommend ...

Our single-cell data allowed us to precisely detect subtle to large gene expression changes in dozens of trans genes, revealing that many responses to dosage changes of these three TFs are non-linear ...

How good is it this season? So far, the SP+ model is 384-352-9 against the spread with a 52.1 win percentage. West Virginia vs. Memphis odds, how to pick the game Memphis is a 5.5 point favorite ...

As 2025 approaches, Bali and Phuket are looking to sustain their growth while grappling with overtourism pressures. How they handle these challenges will shape Southeast Asia’s tourism scene ...

We’re now into the third year of the AI boom, and industry leaders are showing no signs of slowing down, pushing out newer and (presumably) more capable models on a regular basis. ChatGPT ...

Call it a reasoning renaissance. In the wake of the release of OpenAI’s o1, a so-called reasoning model, there’s been an explosion of reasoning models from rival AI labs. In early November ...

Estimating such general nonlinear models is challenging because traditional methods, such as the Extended Kalman Filter, linearize only functions – not noise – and require state-independent ...