Machine learning engineers--i.e., advanced programmers who develop artificial intelligence (AI) machines and systems that can learn and apply knowledge--are in high demand, as more companies adopt these technologies. These professionals perform sophisticated programming, and work with complex data sets and algorithms to train intelligent systems. While many fear that AI will soon replace jobs, at this phase in the technology's development, it is still creating positions like machine learning engineers, as companies need highly-skilled workers to develop and maintain a wide range of applications. To help those interested in the field better understand how to break into a career in machine learning, we compiled the most important details and resources. This guide on how to become a machine learning engineer will be updated on a regular basis.

Ontario is no latecomer to the artificial intelligence age in Canada. In fact, decades ago, it was here that Geoffrey Hinton and a band of AI pioneers hunkered down in labs in Toronto and Waterloo, sustaining what has become today's hottest discipline. Their perseverance to unlock the potential of neural networks has made the province a leading source of AI talent and a magnet for tech's biggest players. In Ontario, businesses can also tap into our world-renowned AI ecosystem to build a sustainable business model while championing the responsible and ethical use of artificial intelligence. And Canada stands out as a place that remains open to differing points of view, connected to the world and free to work collaboratively in our common quest to meet the challenges of our time.

Machine learning engineers--i.e., advanced programmers who develop artificial intelligence (AI) machines and systems that can learn and apply knowledge--are in high demand, as more companies adopt these technologies. These professionals perform sophisticated programming, and work with complex data sets and algorithms to train intelligent systems. While many fear that AI will soon replace jobs, at this phase in the technology's development, it is still creating positions like machine learning engineers, as companies need highly-skilled workers to develop and maintain a wide range of applications. To help those interested in the field better understand how to break into a career in machine learning, we compiled the most important details and resources. This guide on how to become a machine learning engineer will be updated on a regular basis.

Humanoid robots are more than just sci-fi novelties in South Korea, which holds the top spot for the world's highest robot density – beating out China, Japan, Germany and the United States. Robot density refers to the ratio of industrial robots to employees. To maintain its lead, the South Korean government has committed $450 million to robotics over the next five years. 'The Highs' is a series which looks at countries that rank the highest in certain categories – for better or worse.