Type-safe language for the Erlang VM and JavaScript runtimes now supports external annotations for external types.
Microsoft's TypeScript 7, codenamed Project Corsa, transforms the compiler with a complete rewrite in Go, achieving up to 10x ...
Michael Phelps, Serena Williams and Simone Biles have all been named the GOAT of their sport, but what makes them different from other swimmers, tennis players and gymnasts who never made it to the ...
BNB Chain's revmc project aims to enhance EVM execution by transitioning from interpretation to JIT/AOT compilation, promising significant performance gains for computational tasks. BNB Chain is ...
Three years ago, Luminal co-founder Joe Fioti was working on chip design at Intel when he came to a realization. While he was working on making the best chips he could, the more important bottleneck ...
Microsoft published guidance explaining how C++ developers can upgrade their existing projects to Visual Studio 2026. The company said the process is straightforward and designed to minimize ...
Subaru made waves at the 2025 Japan Mobility Show with a concept that sure looks like a production-ready manual STI hatchback, but the brand's performance aspirations do not stop there. That ...
But there are what he [the artist Terence Koh] calls his “secret performances.” . . . Examples include the time in 2009 when he had the activist and retired actress Bianca Jagger wrap him in bedsheets ...
The art world is crowded, but some voices rise above. In this series, we spotlight 25 emerging artists who have been defining 2025: painters pushing the canvas forward, sculptors reinventing form, ...
The CI build is currently failing due to a Swift compiler performance issue. When compiling ContentView.swift, the build process times out and fails with the following error: error: the compiler is ...
Although many users are satisfied with Rust build performance, a significant fraction of users report that slow builds and rebuilds in several common workflows are a ‘big problem’ for them. Overall, ...
Deep-learning throughput hinges on how effectively a compiler stack maps tensor programs to GPU execution: thread/block schedules, memory movement, and instruction selection (e.g., Tensor Core MMA ...