This paper investigates the one-dimensional cutting stock problem considering two conflicting objective functions: minimization of both the number of objects and the number of different cutting ...
In the early 1990s, when Stefan Merrill Block was in fourth grade, he began complaining to his mom about his new school, with its pointless rules and mean teachers. He, his parents, and his brother ...
June 8, 2018; Cleveland, OH, USA; Cleveland Cavaliers center Kendrick Perkins (21) during the second quarter in game four of the 2018 NBA Finals against the Golden State Warriors at Quicken Loans ...
In the 2020s, the best players in the NBA have mostly been European. As the likes of LeBron James and Stephen Curry entered the twilight of their careers, Nikola Jokic, Giannis Antetokounmpo, and Luka ...
In recent years, many of the most visible innovations have been driven by the need to address pressing social and environmental challenges. In mobility, a central part of the development of electric ...
Source: cottonbro studio/pexels In a recent high-profile case of AI gone awry, the U.S. Make America Healthy Again (MAHA) Commission released a report it described as a “clear, evidence-based ...
Abstract: In this work, we extend the simplex algorithm of linear programming for finding a local minimum of a concave quadratic function subject to box constraints. In order to test the performance ...
There are only two choices in life: be part of the solution or part of the problem. The Democratic Party has consistently chosen to be part of the problem. Examples abound. Waste, fraud, and abuse are ...
OpenAI’s tech may be driving countless of its users into a dangerous state of “ChatGPT-induced psychosis.” Friends and family are watching in alarm as users insist they’ve been chosen to fulfill ...
On Monday, a developer using the popular AI-powered code editor Cursor noticed something strange: Switching between machines instantly logged them out, breaking a common workflow for programmers who ...
One of the pitches for investing heavily in AI—especially resource-intensive versions such as large language models (LLMs)—is the argument that these powerful technologies have the potential to help ...
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