Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...

New analysis explains why Prosper’s macro forecasts often signal economic shifts weeks or months before prediction ...

Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 possible variants—more combinations than atoms in the observable universe.

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

Will the Celtics cover -6.5 at Chase Center? Get expert Celtics vs. Warriors predictions, moneyline odds, and 10,000 ...

A real-world AWS QuickSight playbook based on deploying ML models, modern BI pipelines, and protecting $8.3M in ...

A new artificial intelligence framework developed at Cornell can accurately predict the performance of battery electrolytes ...

At the IndiaAI Summit, Sam Altman, CEO of OpenAI, discussed the nearing advent of superintelligence by 2028, emphasizing its implications for democracy, AI governance, and the economy.