Quick Take Successful recovery of the vaquita’s limited population depends on eliminating the threat of gillnet fishing in ...

Andrew looks at aging veterans who are fantasy football dynasty trade targets to consider buying. His top trade values ...

Despite a deep pool of Indian executive talent, the country’s biggest airlines continue to look overseas for top leadership. The reason lies less in capability—and more in structure, history, and ...

Supercar performance no longer has to mean a punishing commute. The latest wave of high performance machines can rip to highway speeds in supercomputer-quick times yet still offer the space, ...

Ensuring correctness of smart contracts is paramount to ensuring trust in blockchain-based systems. This paper studies the safety and security of smart contracts in the Azure Blockchain Workbench, an ...

Marijn Heule turns mathematical statements into something like Sudoku puzzles, then has computers go to work on them. His proofs have been called “disgusting,” but they go beyond what any human can do ...

Jay Jones, the Democratic Party’s nominee for attorney general in Virginia, fantasized about murdering Todd Gilbert, the former Republican speaker of Old Dominion’s House of Delegates, back in 2022.

Imagine knowing that the stock market will likely crash in three years, that extreme weather will destroy your home in eight or that you will have a debilitating disease in 15—but that you can take ...

Why is untangling two small knots more difficult than unravelling one big one? Surprisingly, mathematicians have found that larger and seemingly more complex knots created by joining two simpler ones ...

In “The Once and Future World Order,” by Amitav Acharya, and “The Golden Road,” by William Dalrymple, our best hope might be that history repeats itself. A statue of the Buddha in Kamakura, ...

Abstract: Reinforcement learning (RL) has demonstrated exceptional performance across various real-world applications such as autonomous driving, robotic control, and finance. However, challenges ...