Overview Clear prompts help machine learning models become more accurate and reliable.Role-specific prompts generate focused ...

The conversion of carbon dioxide into clean fuels is regarded as an important route toward carbon neutrality. CO2 methanation ...

Researchers at Tohoku University have applied explainable machine learning to identify key factors for nickel-based catalysts ...

Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...

The conversion of carbon dioxide into clean fuels is regarded as an important route toward carbon neutrality. CO2 methanation ...

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases ...

The United States represented over 20.4% of the global AI in Nutraceuticals Market value in 2024. Fueled by widespread health ...

The Ozak AI presale has already turned heads by raising $2.7 million and selling over 850 million tokens. With Stage 5 priced ...

Witnesses said that more oversight is needed to help the industry overcome a “foundational trust deficit” currently blocking ...

Researchers have developed a blood-based test that shows high accuracy for diagnosing ALS as early as up to 10 years before ...

Learn about AI and data and how distributors and e-commerce companies can ensure their AI initiatives succeed with clean, ...

The rapid adoption of artificial intelligence (AI) agents across industries has brought significant benefits but also increased exposure to cyber threats, particularly adversarial attacks. According ...