Achieving high reliability in AI systems—such as autonomous vehicles that stay on course even in snowstorms or medical AI that can diagnose cancer from low-resolution images—depends heavily on model ...

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...

Can deep learning catch chronic illness before symptoms show? This article explores how time-aware neural networks are reshaping early detection and care planning for conditions like diabetes and COPD ...

Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.

Positioned at the intersection of quantitative finance, statistical learning, and modern AI, the research addresses a ...

A new medical large language model (LLM) achieved over 91% accuracy in identifying female participants diagnosed with major ...

Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices ...

A new medical large language model (LLM) achieved over 91 percent accuracy in identifying female participants diagnosed with major depressive disorder after analyzing a short WhatsApp audio recording ...

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

ABSTRACT: Mood disorders—particularly bipolar spectrum conditions—pose enduring diagnostic and therapeutic challenges due to their episodic nature, heterogeneous presentations, and reliance on ...