Abstract: This letter proposes an efficient sensitivity-driven stepwise modeling method for microwave components with a wide range of geometrical parameter variations. In the proposed method, the ...
The original version of this story appeared in Quanta Magazine. In 1939, upon arriving late to his statistics course at UC Berkeley, George Dantzig—a first-year graduate student—copied two problems ...
Nvidia has updated its CUDA software platform, adding a programming model designed to simplify GPU management. Added in what the chip giant claims is its “biggest evolution” since its debut back in ...
CNBC is now accepting nominations for the 2026 Disruptor 50 list. Submit a nomination before February 23. Runway announced Gen 4.5, a new AI model that allows users to generate high-definition videos ...
Anthropic on Monday announced Claude Opus 4.5, its third major AI model launch in two months. The model excels at coding, using computers and assisting users with complex enterprise tasks, the company ...
We present the ENV-FIBA macro-micro model framework that can be used to analyze the climate-macro-financial consequences of climate scenarios and related policy counterfactuals. The model consists of ...
General Motors is implementing a significant software update for the 2026 model year, one that fundamentally alters how drivers interact with key safety systems. A new service bulletin confirms that ...
The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get any better. In 1939, upon arriving late to his statistics course at the ...
The programming model for the longest time has remained unchanged, due in large part to the consistent competitive nature of over-the-air radio versus, at most, SiriusXM, television, or social media.
OpenAI unveiled new API updates at its Dev Day on Monday, introducing GPT-5 Pro, its latest language model, its new video generation model Sora 2, and a smaller, cheaper voice model. The addition of ...
Sensitivity analysis helps predict outcomes by varying key variables in financial models. It simplifies complex models, aids in understanding variable effects, and reduces uncertainty. This analysis ...