When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. In October 2024, news broke that Facebook parent company Meta had cracked an "impossible" problem ...

Marketing mix models aim to answer the marketer’s billion-dollar question: where should you spend your budget? Yet most organizations build models and still struggle to translate their outputs into ...

If you thought 2025 had a lot of AI-related job displacement, just wait until next year. OpenAI’s latest AI model, GPT-5.2, achieved a new record in GDPval, an evaluation created by the company in ...

For elementary students, math problem-solving often feels like a puzzle without all the pieces. They know there’s a solution somewhere, but they can’t quite see how it all fits together. Behind every ...

Abstract: The Vehicle Routing Problem with Multiple Soft Time Windows (VRPMSTW) is a challenging combinatorial optimization problem where a fleet of vehicles must deliver goods to a set of customers, ...

Forbes contributors publish independent expert analyses and insights. The Department of Management at LSE. Leadership often comes with a pronounced sense of loneliness. Sometimes, it’s the emotional ...

In this tutorial, we present a complete end-to-end Natural Language Processing (NLP) pipeline built with Gensim and supporting libraries, designed to run seamlessly in Google Colab. It integrates ...

OpenAI on Thursday unveiled its highly anticipated GPT-5, a powerful multi-modal AI model featuring major advancements in problem-solving and coding. The new flagship model was announced during a ...

Google DeepMind, Alphabet Inc.’s artificial intelligence research arm, today announced the rollout of Gemini 2.5 Deep Think, a new creative problem-solving AI model. The company stated the model is ...

Sandra Benallie, Tayden Bitsoie and Sage Yazzie, participants in USU's 2025 Native American Summer Mentorship Program, tackled a classic Fermi problem to hone estimation skills with guidance from USU ...

van Vliet and colleagues show a useful correlation between internal states of a convolutional neural network (CNN) trained on visual word stimuli with three specific components of evoked MEG ...