AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...
Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...
Explainable AI (XAI) exists to close this gap. It is not just a trend or an afterthought; XAI is an essential product capability required for responsibly scaling AI. Without it, AI remains a powerful ...
OpenEvidence AI scores 100% on USMLE as company launches free explanation model for medical students
Artificial intelligence startup OpenEvidence says its AI model has scored a perfect 100% on the United States Medical Licensing Examination (USMLE), raising the bar on the proficiency of AI models to ...
Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...
For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...
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26,000 scientists still can’t explain exactly how AI models think and how to measure them
In a dizzying age of machine learning triumph, where systems can generate human-like prose, diagnose medical conditions, and synthesize novel proteins, the AI research community is facing an ...
AI can be added to legacy motion control systems in three phases with minimal disruption: data collection via edge gateways, non-interfering anomaly detection and supervisory control integration.
(NASDAQ: NXXT ), a pioneer in AI-driven energy innovation transforming how energy is produced, managed, and delivered, today ...
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