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 Developer
The Machine Learning Developer is specialized in integration of machine learning and Artificial Intelligence into tools and apps. He is able to develop, customize and optimize learning algorithms.
The main requirements of a Machine Learning Developer are:
deep knowledge of languages such as Python and C ++, experience in the implementation of algorithms in Computer Vision and Machine Learning (Deep Learning), knowledge of object- oriented programming, data-parallel processing and/or GPU programming with CUDA and OpenCL.
Find job offers in Job Search for Machine Learning Developer.
Edge computing and AI: 7 things to know
For decades, artificial intelligence (AI) lived in data centers, where there was sufficient compute power to perform processor-demanding cognitive tasks. In time, AI made its way into software, where predictive algorithms changed the nature of how … Read more
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
IBM Open Sources Edge Platform, Wishes AWS, Microsoft Got On Board
After more than four years spent building an edge-device management platform, IBM recently open sourced it, contributing it to an effort within the Linux Foundation to create an open framework for edge computing. An executive in charge of the … Read more
Facebook Announces TransCoder AI to Translate Code across Programming Languages
Facebook AI Research has announced TransCoder, a system that uses unsupervised deep-learning to convert code from one programming language to another. TransCoder was trained on more than 2.8 million open source projects and outperforms … Read more
AI-driven Conversational User Interface enriched with Search Skills
Today, chatbots are implemented almost everywhere, including many websites. The IBM Watson approach allows us to easily integrate AI features and deploy a web chatbot in just a few hours. In this article, we’ll put this in practice within IBM … 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
Epidemic Intelligence, part 2: data, models and machine learning in the age of Coronavirus
In a previous article, we shared some reflections on machine learning models for data fitting and prediction, playing with a simple dataset related to the spread of the current coronavirus emergency. We looked at simple models and mentioned some … 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
BERT: how Google changed NLP (and how to benefit from this)
Introduction A broad and very active research field in AI (artificial intelligence) is NLP: Natural Language Processing. Indeed scientists have tried to teach to machines how to understand and even write in natural languages (like English, … Read more
Using Machine Learning to diagnose COVID-19
The SARS-CoV-2 coronavirus and the associated COVID-19 disease have totally dominated our lives this year. The virus has brought death and hardship on a truly biblical scale. The fight against the virus has sparked a huge research effort. In the run … Read more
Epidemic Intelligence, part 1: data, models and machine learning in the age of Coronavirus
The current global emergency due to the diffusion of coronavirus in several countries shows how fragile are the equilibria of our societies when facing "inner" threats such as an epidemic. Eventually drugs to relieve symptoms and a vaccine will be … Read more