This Collection supports and amplifies research related to SDG 9 - Industry, Innovation & Infrastructure. Discovering new materials with customizable and optimized properties, driven either by ...

RNA design is central to next-generation therapeutics, yet identifying sequences that reliably fold into desired structures ...

BigHat Biosciences, an AI-driven platform and therapeutics company, announced today the appointment of Stefan Weigand, PhD, ...

Abstract: Bayesian optimization (BO) is a powerful surrogate-assisted algorithm for solving expensive black-box optimization problems. While BO was developed for centralized optimization, the ...

Abstract: 5G millimeter-wave (mmWave) communications are essential for enabling ultra-high-speed, low-latency wireless connectivity to support data-intensive applications. However, the highly ...

https://proceedings.neurips.cc/paper_files/paper/2012/hash/05311655a15b75fab86956663e1819cd-Abstract.html ...

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

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