Nothing good tends to come from something that is broken. It’s bad enough to have to deal with problems in the factory: The average manufacturer deals with around 800 hours of downtime annually, which translates to almost $1 million in lost … Read more
Machine Learning
Getting started with edge machine learning
In this six-article series from Mouser Electronics, we explore why AI is moving to the network edge and the technology that’s making it possible. The first article examined why AI needs to move to the edge. Here, we dive in to the hardware and tools … Read more
Hey, Data Scientists: Show Your Machine-Learning Work
In the last two years, the U.S. Food and Drug Administration has approved several machine-learning models to accomplish tasks such as classifying skin cancer and detecting pulmonary embolisms. But for the companies who built those models, what … Read more
Tiny computer vision for all embedded devices
For humans, sight is one of our most valued senses. But despite the importance of vision virtually all embedded devices are still blind, having to rely on other sensors to recognize events that might be easily perceived visually. To change that, Edge … Read more
The cutting edge of real-time AI
Machine learning is traditionally processor-intensive; ML algorithms require large numbers of parallel operations. As a result, the models usually run in data centres at the core of the network. However, this has a direct impact in terms of latency, … Read more
Machine Learning and the Digital Transformation of Banking
In preparation for this week's Codemotion Deep Learning conference, we spoke to one of the speakers, Manuel Morales. He wears a variety of hats in machine learning. Since 2018, he has been General Director of the FinML Network. He is currently … Read more
TensorFlow Furthers the Development of Machine Learning
In preparation for his talk at the upcoming Codemotion Deep Learning virtual conference next week, I spoke to Luiz GUstavo (Gus) Martins, TensorFlow Developer Advocate, at Google. He explained that his main role is to help … Read more
The evolution of conversational AI according to Rasa
If you're looking for a very accessible entry into the why's and how's of AI, conversational AI is a great starting point. In preparation for our upcoming Deep Learning Conference, I recently spoke with one of the conference presenters, Mady … Read more
How to teach Alexa to pronounce your name
Deep learning promises to deliver a true revolution in how we tackle complex problems. But to most people, deep learning seems like some arcane dark science. However, it is one of the key planks that enabled voice assistants, such as Alexa, to get so … Read more
How to build a GAN in Python
Introduction Generative Adversarial Networks (GANs) are a hot topic in machine learning for several good reasons. Here are three of the best: GANs can provide astonishing results, creating new things (images, texts, sounds, etc.) by imitating … Read more
IBM Think Digital 2020: AI for Enterprise and the Value of Language
IBM recently hosted Think Digital 2020, a series of fascinating talks, presentations and interviews all facilitated remotely during the COVID-19 stay at home order. The two-day event was an opportunity to discuss the state of business and the … Read more
Machine Learning Engineer: Challenges and Changes Facing the Profession
Last year, the fastest-growing job title in the world was that of the machine learning (ML) engineer, and this looks set to continue for the foreseeable future. According to Indeed, the average base salary of an ML engineer in the US is … Read more