Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...

With the rise of 3D printing and other advanced manufacturing methods, engineers can now build structures that were once ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

INNOptimizer is using latest Bayesian Optimization algorithms and a broad set of analytical tools to guide optimizations with ...

This study designs a new DDoS attack detection using a snake optimizer with ensemble learning (DDAD-SOEL) technique on the IoT platform. The purpose of the DDAD-SOEL approach lies in the effectual and ...

Multimodal machine learning (MML) is a tempting multidisciplinary research area where heterogeneous data from multiple modalities and machine learning (ML) are combined to solve critical problems.

MiniMax, an AI firm based in Shanghai, has released an open source reasoning model that challenges Chinese rival DeepSeek and US-based Anthropic, OpenAI, and Google in terms of performance and cost.

Project Overview This project aims to build a deep learning compiler and optimizer infrastructure that can provide automatic scalability and efficiency optimization for distributed and local execution ...

Dense pollution maps are essential for understanding and reducing air pollution. However, pollution measurements are often sparse. Common methods to address this gap are chemistry transport models ...