AI benchmark cheating has been theorized as an inevitable consequence of training capable optimizers against fixed metrics. With OpenAI's GPT-5.6 Sol, the theory arrived in full view. The nonprofit ...

Transaction expands Symbotic’s solution from automation execution to full-scale, AI-powered operational intelligence across the entire warehouse ecosystem Unifies automated systems and human workflows ...

WMT26 introduces new benchmarks for subtitle translation and low-resource languages while updating its AI translation and ...

Reduce overlap between Google and Meta with a four-step framework that uses brand exclusions, audience exclusions, and ...

Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which optimization actually moved the needle.

Abstract: Model predictive control has gained increased popularity in widespread applications using electrical drive systems, due to its merits of the customized design of the cost function and ...

Abstract: Filtering patch antenna design optimization involves multiple design requirements, including passband flatness, radiation null existence, and stopband attenuation. The corresponding ...

💡 NOTE: If you're interested in BAxUS, please consider using Bounce, which comes with an improved trust region management policy, an easier setup, and batch parallelism. benchmark_runner.py -id 100 ...

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This repository provides the original BBOB 24 noise-free, real-parameter, single-objective benchmark functions reimplemented in JAX. Originally written in C, these functions have been translated to ...