AI

Linear programming (LP) solvers are crucial tools in various fields like logistics, finance, and engineering, due to their ability to optimize complex…

Collective intelligence improves the effectiveness of groups, organizations, and societies by utilizing distributed cognition and coordination, often facilitated by technologies such as…

When the generative-AI boom first kicked off, one of the biggest concerns among pundits and experts was that hyperrealistic AI deepfakes could…

Accurately measuring physiological signals such as heart rate (HR) and heart rate variability (HRV) from facial videos using remote photoplethysmography (rPPG) presents…

Large Language Models (LLMs) have made significant strides in processing extensive contexts, with some models capable of handling up to 10 million…

OpenAI released the Multilingual Massive Multitask Language Understanding (MMMLU) dataset on Hugging Face. As language models grow increasingly powerful, the necessity of…

Reinforcement Learning (RL) is a critical area of ML that allows agents to learn from their interactions within an environment by receiving…

Since its launch in 2018, Just Walk Out technology by Amazon has transformed the shopping experience by allowing customers to enter a…

Large language models (LLMs) have gained significant attention due to their potential to enhance various artificial intelligence applications, particularly in natural language…