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#artificial intelligence

What Google, GitHub and artificial cats are doing for Halloween

Halloween Special 2019: Bats, cats and scary developer stories

Boo!—It’s that time of year again and spooky things are happening in the tech world. We’ve compiled a Halloween collection of scary database stories, games and more. Find out what horrors await when dev, test, and prod are all on the same server, as well as what GitHub and Google have in store for us this year. Let’s dive into our Halloween special, but only if you’re not afraid of getting nightmares.

People-centric and smart space tech

Adopt these 10 strategic technologies in 2020

Take a look into the crystal ball. What does Gartner predict for 2020? Here are ten strategic trending technologies that tech leaders should have on their radar in the coming years. Augmented and virtual reality might train employees in the future, voting might become based on a blockchain, and AI security might become the most important factor in risk management.

Machine learning is now seen as a silver bullet for solving all problems, but sometimes it is not the answer.

The Limitations of Machine Learning

Most people reading this are likely familiar with machine learning and the relevant algorithms used to classify or predict outcomes based on data. However, it is important to understand that machine learning is not the answer to all problems. Given the usefulness of machine learning, it can be hard to accept that sometimes it is not the best solution to a problem.

AI-powered and open source delight

Meet Leon: The personal assistant of your dreams

If you like building things that could help you in your daily life, instead of building a dedicated project for each of your ideas, Leon is the perfect sidekick with its generic, high-level architecture. You can talk to each other, exchange text messages and even communicate with while offline! Let’s have a closer look.

What is the relationship between AI and IoT?

The impact of social AI on the Internet of Things

With IoT, you are giving devices, vehicles, buildings the ability to host algorithms and perform functions which can only be driven by software. Therefore, AI software is a must when you need to handle the complexity of the Internet of Things. In this article, Will Cappelli explores two major intersections of AI and IoT.

Training AI services in the cloud

AI as smart services for everyone

If you cannot or do not want to build an AI project from scratch, you have countless choices of ready-made services. But what can you do if the finished services do not fit the project? Customizable AI and ML models in the cloud, which you can train with your own data, provide a remedy.