The financial landscape of 2026 is defined by a paradox: machine learning systems are now more powerful and autonomous than ever, yet they operate under the strictest regulatory scrutiny in history.

Ligand-based drug design combines AI and QSAR modeling to prioritize drug candidates, minimizing preclinical failures and ...

Abstract: The increasing number of Acute Respiratory Infection (ARI) cases in Jabodetabek, averaging 200 thousand per month, is linked to rising air pollution levels in Jakarta. This study compares ...

AI meets isotope science: Machine learning is enhancing isotope analysis techniques, improving efficiency, accuracy, and insights into geochemical processes. Key hurdles remain: Data scarcity, limited ...

Background Tobacco use remains a global public health challenge, leading to over 8 million annual deaths and significant ...

Multiomics analysis sheds new light on the role of NETs in alcohol-induced epilepsy Epilepsy is a highly prevalent chronic ...

Abstract: A major public health concern, chronic kidney disease (CKD) is marked by a high incidence and serious consequences of a progressive loss of kidney function over time. The basis of effective ...

With the rapid expansion of the new energy vehicle (NEV) market, charging and battery swapping have emerged as the two ...

Get your news from a source that’s not owned and controlled by oligarchs. Sign up for the free Mother Jones Daily. The forest floor was nothing but patches of brown. No ferns, no brush, no flowers, ...

While generative artificial intelligence (genAI) promises to transform classrooms through personalized learning, automated feedback, and real-time content generation, new evidence suggests that ...

Speaking at WSJ Opinion Live in Washington, D.C., WSJ Editorial Page Editor Paul Gigot and SandboxAQ CEO Jack Hidary discuss Large Quantitative Models (LQMs) and their role in AI applications, the ...