Robotic Process Automation (RPA) is an emerging tech, the global market size for which has grown substantially in recent years. Although the technology is relatively new, businesses have quickly adopted it across many industries. With many … Read more
Machine Learning
The Machine Learning Developer is specialized in integration of machine learning and Artificial Intelligence into tools and apps. S/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.
Neural Networks: The Evolution of Deepfakes
Deepfakes are taking over social media and the internet as AI has enabled new possibilities that can reach amazing results in terms of realism. From funny Instagram filters to fake news through impersonations so lifelike that can become dangerous and … Read more
6 Courses to Dive Deep Into Machine Learning in 2022
With several machine learning courses to choose from, you may find it challenging to find the one that best meets your needs. Many students wonder if a regular machine learning course addresses all cases. With a wide selection of educational … Read more
Programmable Logic: FPGA Internal and External Interfacing
In the third article in this series co-produced with Mouser Electronics, we saw how to simplify FPGA implementation tools' usage with user-friendly toolchains for design verification and programming file. Now, let’s see how FPGA Internal and External … Read more
Embedded Processing in Programmable Logic
In the first article in this series co-produced with Mouser Electronics, we explored the range of FPGA devices produced by Xilinx and discussed the benefits of adopting such a system for developers, engineers, and end-users alike. Now, let’s dig a … Read more
FPGAs: What Do They Do, and Why Should You Use Them?
Digital processing technologies We live in an analogue world, but more and more, digital processing is changing the ways in which we interact with and experience the world. Whether through satellite navigation or autonomous vehicles, … Read more
How to Optimise Your IoT Device’s Power Consumption
Long battery life is a frequent concern of people purchasing Internet of Things (IoT) products — especially those for remote or harsh environments. That’s an understandable concern. Excessive power consumption could negatively impact the … Read more
How to Implement Data Version Control and Improve Machine Learning Outcomes
It may surprise you to hear this, but machine learning is in something of a crisis. In recent years, machine learning researchers have found it increasingly difficult to reproduce the findings made by algorithms. A key problem that has been … Read more
The Rise of Machine Learning at the Network Edge
Over the past few months, I have shown you why machine learning at the network edge is so essential. In this final article, we look back at why machine learning is needed and look at some of the real-world cases where it has already been … Read more
The Future of Machine Learning at the Edge
Over the last few months, I have shown you how Machine Learning at the edge is improving our lives. I also shared some practical examples to give you a chance to try it for yourselves. In this article, I look at the current limitations of edge ML and … Read more
Questions and Answers in Virtual Assistants
The typical customer care virtual assistant (aka chatbot) can answer simple questions and maybe even perform some actions. But we need chatbots that really help solve customer problems instead of disappointing them with a “Sorry, I don't know.” When … Read more
Want to Learn about Genetic Algorithms? Start Life Hacking
It’s often hard to motivate ourselves to learn new tech - whether a new coding language or algorithm - when it’s not essential to our job. Tech not only moves fast, but it’s easy to get overwhelmed by the plethora of documentation, tutorials, and … Read more
ML at the Edge: a Practical Example
Machine learning is the primary methodology for delivering AI applications. In previous articles, I discussed the main reasons behind moving machine learning to the network edge. These include the need for real-time performance, security … 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
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
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
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 spread of the coronavirus in several countries shows how fragile our society's equilibrium is when faced with 'interior' threats such as an epidemic. Treatments to relieve symptoms and a vaccine will eventually … Read more
Why do some machine learning models fail?
Everything is automatic and effortless with machine learning algorithms, right? Big data is all you need, after all. You have a dataset, you split it when necessary, you take one machine learning model, you train it and the miracle of a correct … Read more
Generative AI: creating objects with machine learning
Recent advances in artificial intelligence (AI) and machine learning (ML) have allowed many companies to develop algorithms and tools to automatically generate artificial (but realistic) 3D or 2D images. Such algorithms are part of a research area … Read more