ScholarEvolve uses published research to improve AI agents, raising Qwen's AppWorld task completion from 69% to 81.4% without retraining the model.

Built on an evolutionary engine first released in 2018, STAR Fuzzer by Bright Security finds crashes, memory exhaustion and memory-safety bugs in security-critical code without a running application.

Are there currently any humans who can beat computers at Go or Shogi?■ Answer 1:To conclude, in official matches or serious ...

In its first open source research run, it found High or Critical issues in 45% of the projects tested, and in its first month ...

In AI-driven development, there is something I have been wondering about for a long time.Having AI write specifications, ...

Built on an evolutionary engine first released in 2018, STAR Fuzzer by Bright Security finds crashes, memory exhaustion and ...

A decade-long effort at ETH Zurich and TU Darmstadt has distilled empirical performance modeling into a Python tool that ...

Researchers have combined conflict-based search with model predictive control to let four autonomous magnetic movers plan and ...

BLAKE3 beats SHA3-256 by up to 12x on throughput benchmarks, but SHA-3 keeps its FIPS 202 edge. Full specs, pricing, and ...

Relational foundation model NVIDIA Kumo Relational beats XGBoost and AutoGluon across 41 benchmark tasks on enterprise ...

Manju Rajashekhar explains how the actor model solves the complex runtime challenges of production AI agents. By treating ...

The serving layer is where the real cost of inference lives. For a week the industry’s attention has been on the license ...