Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a quantum AI simulator that adopts a hybrid CPU-FPGA method. This system performs ...

The University of Illinois Urbana-Champaign has been awarded the 2026 Carnegie Community Engagement Classification, a ...

ChatGPT accurately classifies foods by processing level and detects ultraprocessed items, which may help automate and improve ...

Read more about AI-driven air quality system promises faster, more reliable urban health warnings on Devdiscourse ...

Researchers from the University of California, Los Angeles (UCLA) have developed a chemical imaging system that combines high-performance terahertz time-domain spectroscopy with advanced deep learning ...

Isomorphic Lab’s proprietary drug-discovery model is a major advance, but scientists developing open-source tools are left ...

XB AI is an agent operator that brings agentic intelligence to cross border commerce, helping simplify global trade, ...

Researchers at the University of California, Santa Cruz have trained lab-grown brain organoids to solve a goal-directed task, ...

An international research team, with significant involvement from the Medical University of Vienna, has developed a new AI-based analysis method that can accurately classify brain tumors using genetic ...

Integrating deep learning with traditional forecasting techniques can improve early warning systems by capitalizing on each ...

Abstract: This paper proposes a hybrid deep learning model integrating DenseNet201 and InceptionV3 to address the challenges in achieving accurate and reliable cervical cancer classification. Current ...