RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene ...

Planning for promotions is far harder than planning for routine demand and replenishment. The solution lies in a hybrid ...

During World War II, statistics helped the Allies estimate the number of enemy tanks, which proved essential in the decisive ...

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

We surrendered our attention to the feed. We surrendered our memory to the search engine. We surrendered our solitude to the ...

A new study combines Large Language Models and behavioral mathematics to analyze human decision-making text data at scale.

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 ...

UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.

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

The Sports Analytics Research Group employs quantitative analysis to give teams the hard numbers they need to perform better ...

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 ...