To build a chatbot, you can take a machine learning approach or a linguistic rules-based approach. Here are the pros and cons of each. “It gets better over time” may be the leading slogan for ...

Machine learning models must then try to understand the question, contextualize it and figure out the most accurate response. Delivering a high-quality response is actually harder than it seems.

In recent years, an entirely new paradigm for software development has burst onto the scene: machine learning. Building a machine learning model is radically different from building a traditional ...

Andrew Ng, Founder and CEO of LandingAI and deep learning.ai at the Amazon Re:MARS conference on ...More robotics and artificial intelligence, June 6, 2019. (MARK RALSTON/AFP via Getty Images) AFP ...

Federated Learning (FL) has gained significant attention as a novel distributed machine learning paradigm that enables collaborative model training while preserving data privacy. However ...

Tanya Malhotra is a final year undergrad from the University of Petroleum & Energy Studies, Dehradun, pursuing BTech in Computer Science Engineering with a specialization in Artificial Intelligence ...

As machine learning and AI algorithmic innovation transform analytics, I’m betting that next-generation algorithms will supercharge Pareto’s empirically provocative paradigm.