The term “Edge AI” might be the new buzzword of 2019/2020, much like “Internet of Things” was in 2016/2017. To understand this growing new trend, we need to provide a solid definition of what constitutes “Artificial Intelligence on the Edge.”
Here is a video discussing this notion of Edge AI:
History of AI
With the invention of digital computers in the early 1900s, researchers began to theorize that the functions of a human (or other animal) brain could be recreated in digital form. The name “Artificial Intelligence” came from John McCarthy’s 1956 proposal to host a conference for academics to…
From picking our favorite restaurants to correcting global food shortages, artificial intelligence and machine learning already impact our lives.
Coming to terms with machine learning is critical, but most executives are unprepared.
You can hardly talk to a technology executive or developer today without talking about artificial intelligence, machine learning or bots. While everyone..
Machine learning used to take place behind the scenes: Amazon mined your clicks and purchases for recommendations, Google mined your…
How much math knowledge do you need for machine learning and deep learning? Some people say not much. Others say a lot. Both are correct, depending on what you want to achieve. There are plenty of programming libraries, code snippets, and pretrained models that can get help you integrate machine learning into your applications without […]
Machines are learning to write, speak, and find meaning in images and video. In the future, intelligent machines will increasingly support humans. We will enter the age of the intelligent enterprise.
Face2Gene’s algorithms map points on a patient’s face, compare those points with a database containing points from thousands of other faces, and suggest potential diagnoses for rare genetic diseases.
Imagine wanting a cup of coffee and suddenly finding it before you, freshly prepared to your exacting standards.
When an app claims to be powered by “artificial intelligence” it feels like you’re in the future. What does that really mean, though? We’re taking a look at what buzzwords like AI, machine learning, and neural networks really mean and whether they actually help improve your apps.
While machine learning is introducing innovation and change to many sectors, it also is bringing trouble and worries to others. One of the most worrying..
Let’s move beyond theoretical discussions about machine learning and the Internet of Things – and talk about practical business applications instead.
Nest is looking to improve the artificial intelligence (AI) and use of machine learning for its products
Machine learning and artificial intelligence are on the verge of revolutionizing diagnostics, patient engagement, and other aspects of the healthcare industry.
If you’ve been following the buzz around artificial intelligence lately, you may have gotten the impression that machines will soon take over the world and..
Machine learning is a large and interdisciplinary field of study. You can achieve impressive results with machine learning and find solutions to very challenging problems. But this is only a small corner of the broader field of machine learning often called predictive modeling or predictive analytics. In this post, you will discover how to change …
Monitoring and management not only keep models in tune, but can help streamline the machine learning process
Sometimes we encounter problems for which it’s really hard to write a computer program to solve. For example, let’s say we wanted to program a computer to reco…
Its no secret that many people are afraid that AI and machine learning technologies will take over m...
Machine learning is revolutionizing how search algorithms work. Learn what it is and why it's important in our 5 minute video.
Alexey Malanov explores the algorithms of machine learning and the real life applications.