Abstract: Computing derivatives of noisy measurement data is ubiquitous in the physical, engineering, and biological sciences, and it is often a critical step in developing dynamic models or designing ...

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a ...

Abstract: An interactive satisfying method based on alternative tolerance is presented for the multiple objective optimization problem with fuzzy parameters. Using the alpha-level sets of the fuzzy ...

OpenAI inference cost reduction cut ChatGPT guest traffic from tens of thousands of Nvidia GPUs to just a couple hundred, ...

OpenAI inference cost reduction cut ChatGPT guest traffic from tens of thousands of Nvidia GPUs to just a couple hundred, using software optimization alone. Engineers achieved more than 50% savings ...

Black-box optimization, particularly Bayesian optimization, is a practical approach for weather-intervention design, achieving meaningful rainfall ...

From the lightbulb to the airplane, to medical breakthroughs and the internet age, the past 250 years have been defined by ...

College students facing heavy workloads are increasingly turning to artificial intelligence tools to manage their stress, but ...

The Nuclear Regulatory Commission (NRC) has proposed what may be its most consequential reactor-licensing overhaul in a ...

This is the Pytorch implementation of our FDA paper published in CVPR 2020. python3 train.py --snapshot-dir='../checkpoints/FDA' --init-weights='../checkpoints/FDA ...

Everything you need to know about how we analyzed the 13,000+ comments submitted in the federal government’s request for ...

Certifying a composite primary structure for a next-generation aircraft is, at its core, a data problem. From coupon to full ...