Podcasts

Rosaria Silipo on Codeless Deep Learning and Visual Programming

In the podcast, Rosaria Silipo talks about the emerging trends in deep learning, with focus on low code visual programming to help data scientists apply deep learning techniques without having to code the solution from scratch.

Francesca Lazzeri on Machine Learning for Time Series Forecasting

In the podcast, we speak with Dr. Francesca Lazzeri on machine learning for time series forecasting as the main topic which included automated machine learning and deep learning for time series data forecasting, as well as other emerging trends in machine learning development and operations areas including data science lifecycle.

AI, ML and Data Engineering InfoQ Trends Report - August 2021

How AI, ML and Data Engineering are evolving in 2021 as seen by the InfoQ editorial team. Topics discussed include deep learning, edge deployment of machine learning algorithms, commercial robot platforms, GPU and CUDA programming, natural language processing and GPT-3, MLOps, and AutoML.

Grady Booch on Today’s Artificial Intelligence Reality and What it Means for Developers

On the podcast today, Wes Reisz and Grady Booch discuss what today’s reality is for AI. Booch answers questions like what does an AI mean to the practice of writing software, and how it seems to impact delivering software. In addition, Booch talks about AI surges (and winters) over the years, the importance of ethics in software, and host of other related questions.

Emmanuel Ameisen, Head of AI at Insight, on Building a Semantic Search System for Images

On this week’s podcast, Wes Reisz talks to Emmanuel Ameisen, head of AI for Insight Data Science, about building a semantic search system for images using convolution neural networks and word embeddings, how you can build on the work done by companies like Google, and then explores where the gaps are and where you need to train your own models.