Diffusion models already power AI image generators, but Inception thinks they can be even more powerful applied in software ...

Lunai Bioworks (NASDAQ: LNAI), an AI-powered drug discovery and biodefense company, has announced a major scientific ...

Existing frameworks like the U.S. Environmental Protection Agency’s Energy Star Portfolio Manager provide useful performance ...

Their study is centred around answering three research questions: Do ANNs perform better than the traditional multiple regression models in the prediction of lighting parameters and energy demand of ...

A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...

Efficient, predictable enforcement of the Hague-Visby Rules is critical to Tanzania’s competitiveness in global supply chains, yet circumstantial evidence suggests systematic delays and uncertainty.

Study links longer duration of mechanical ventilation, a common factor in RAS, as the independent predictor of PPCs, not the surgical technique.

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

Data from studies conducted by investigators at the National Cancer Institute at NCI laboratories, part of a multi-year research effort, will be presented at SITCDover, DE, Nov. 07, 2025 (GLOBE ...

Kenya’s food markets are known for extreme volatility influenced by weather shocks, inflation, currency fluctuations, and ...