Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.
This study addressed the alarming rate of public school teachers leaving the profession and the leadership factors influencing it. The research explored two questions: 1) What factors affect teachers’ ...
Unlike the linear sprints of Agile, CAIL is a "contracts-first" framework designed to tame the probabilistic nature of AI ...
Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
Memory swizzling is the quiet tax that every hierarchical-memory accelerator pays. It is fundamental to how GPUs, TPUs, NPUs, ...
As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...
A research team introduces a hierarchical Bayesian spatial approach that integrates UAV and terrestrial LiDAR data to estimate AGB of individual trees in natural secondary forests of northeastern ...
The modern healthcare data stack unifies patient data for real-time clinical and operational insights to improve decision-making in health systems.
OpenAI has released GPT-5.2, claiming significant gains in the AI model’s ability to complete real-world business tasks to an ...
Interesting Engineering on MSN
GPT-5.2 release signals OpenAI’s push to reclaim leadership in high-end AI models
OpenAI released its new frontier model, GPT-5.2, on Thursday as competition with Google intensifies. The company positions ...
The final, formatted version of the article will be published soon. In this paper,a quantitative evaluation model based on the Analytic Hierarchy Process (AHP) is constructed to addresses the issues ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback