Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

As a fundamental technology of artificial intelligence, existing machine learning (ML) methods often rely on extensive human intervention and manually presetting, like manually collecting, selecting, ...

Machine learning (ML) incites both anticipation and anxiety, but by learning to join forces with ML and developing a method for training and usage, humans and ML can form a symbiotic co-working ...

In today's tech-driven world, staying competitive means adapting quickly and innovating continuously. Agile methodologies have become the foundation of modern project management, emphasizing ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

Quality data is at the heart of the success of enterprise artificial intelligence (AI). And accordingly, it remains the main source of challenges for companies that want to apply machine learning (ML) ...

Machine learning is a multibillion-dollar business with seemingly endless potential, but it poses some risks. Here's how to avoid the most common machine learning mistakes. Machine learning technology ...