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.

Defining a machine learning window This week, Apple is sponsoring the world’s largest spoken language processing conference, Interspeech 2019.

Building a machine learning model is radically different from building a traditional software application. It involves different activities, different workflows and different skillsets.

Building safer cities with AI: Machine learning model enhances urban resilience against liquefaction It provides contour maps that show the depth of soil bearing layers, helping city planners ...

AI luminary Andrew Ng wants AI practitioners to shift their focus from model development to data quality.

Researchers at Stanford Introduce Score Entropy Discrete Diffusion (SEDD): A Machine Learning Model that Challenges the Autoregressive Language Paradigm and Beats GPT-2 on Perplexity and Quality ...

More efficient machine learning could upend the AI paradigm Smaller algorithms that don’t need mountains of data to train are coming.

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