TinyML: Bringing machine learning to the edge

You can grasp the basics of software architecture by learning design patterns, but you probably won't master it — to do that you have to get to grips with antipatterns too. Often these lessons are hard-won through experience, derived from seeing what happens when architectural de ...  Show more

The 'age of intent' is a phrase that's been around for a number of years. However, with the rise of AI agents in 2025 it has the potential to become a key trend for 2026. It describes a new way of thinking about digital interaction in which the gap between human intention and out ...  Show more

In this DSS Podcast, Anna Anisin welcomes Serg Masís, Climate and Agronomic Data Scientist at Syngenta. Serg, an expert in machine learning interpretability and responsible AI, shares his diverse background and journey into data science. He discusses the challenges of building fa ...  Show more

In this episode, we take a closer look at Elon Musk's AI research company, Grok, and its latest development: the addition of an image generation capability called FLUX to its AI model. We discuss the potential implications of this advancement, which combines text and image genera ...  Show more

Catherine Nelson, author of the new O'Reilly book, Software Engineering for Data Scientists, discusses the collaboration between data scientists and software engineers -- an increasingly common pairing on machine learning and ...

Jimmy Secretan, CTO of JustWin, explores the latest innovations in privacy-preserving neural networks, and explains how JustWin is leveraging AI to help small businesses win government contracts. He also explores the future directions of AI, and the impact of AI on user autonomy ...  Show more