1910, the only AI-native biotech pioneering small and large molecule therapeutics discovery, today announced the publication of PEGASUS (TM), a multimodal AI model that achieves state-of-the-art ...

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...

A poor night's sleep portends a bleary-eyed next day, but it could also hint at diseases that will strike years down the road ...

A study shows how intelligent monitoring systems enable real-time data collection and predictive maintenance in oil drilling operations. By ...

True ROI for R&D won't come from the tool that generates 10,000 new ideas. It will come from the tool that confidently tells ...

"talking about AI" to running well-governed, operational AI in targeted areas, building efficiency and workforce resilience.

In 2026, unified security platforms and AI-driven intelligence will continue to revolutionize campus safety by enabling ...

Abstract: The high performance of conventional model predictive control (CMPC) for electric drives depends on the fidelity of the machine’s parametric model. However, the parameters of the interior ...

Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...

A newly developed artificial intelligence (AI) model is highly accurate in predicting blood loss in patients undergoing ...

Objective Chronic kidney disease (CKD) arises due to uncontrolled hypertension (HTN). HTN significantly increases the risk of complications in vital organs, mainly the kidneys. If hypertensive ...

Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in finance. Ideal for portfolio management.