SLMs are not replacements for large models, but they can be the foundation for a more intelligent architecture.

Adaptive test is starting to gain traction for high-performance computing and AI chips as test programs that rely on static limits and fixed test sequences reach their practical limits.

To make good decisions, people, automation and AI systems need quality data — but to let an AI agent make an autonomous ...

Facing mounting expenses, IT leaders are rethinking their approaches to the cloud to be more cost-effective and efficient — ...

The new HER2DX central nervous system (CNS) progression score predicts risk of brain progression in advanced HER2+ breast cancer, addressing a major unmet need in identifying patients at the highest ...

As the DPDPA shapes the automotive industry, automakers are urged to adopt a privacy-by-design approach, ensuring data ...

Background Previous epidemiological studies demonstrated that premature atrial contractions (PACs) and premature ventricular ...

Reduced costly care: Behavioral health–related emergency department visits and inpatient admissions decreased by 35% and 43%, respectively. Lower total medical costs: The intervention group saved ...

Overview: Predictive models turn historical data into reliable forecasts that support accurate planning across industries.Different modeling types solve differe ...

COVID-19 severity can be predicted by a model with 5 variables: respiratory rate, systolic blood pressure, plasma albumin, LDH, and CRP.

Public Company Accounting Oversight Board (PCAOB), the non-profit responsible for overseeing financial audits. It was also a ...

IoT analytics is revolutionizing public sector operations, using raw sensor data to extract actionable insights.