The full version of GPT-2 is now publicly available, following nearly nine months of heated debates and some smaller model releases. The large-scale unsupervised language model was kept under lock and key for this long as it was deemed too dangerous—a controversial decision that led to backlash from the open source community.
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.
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.
This year’s AI@Work Study returned some surprising results: More than half of the respondents claimed “they’d trust a robot more than their manager”. The perceptions of artificial intelligence varied widely depending on demographics like age, country and gender.
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.
It is critical than ever to have your systems and processes in place to protect your data as more and more companies are embracing digital technologies and cloud solution. Here the question arises, how? Stephanie Donahole has some interesting ideas!
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.
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.
Are you interested in the future of AI, humanity, and technology? A new digital magazine ConditioHumana.io explores the topics of humanity’s future in the increasingly digital world. We invite our readers to explore articles and interviews with voices from computer scientists, machine learning experts, and leaders in the humanities.
Want to build successful AI business applications? In this excerpt from “AI Blueprints”, Dr. Joshua Eckrot explains how developers can utilize Python to create content-based recommendations in the enterprise. Get ready for your AI recommendations with this proven Python workflow!
2018 has certainly been a year. As the days grow shorter, we can’t help but look forward to a brand new 2019 and all the amazing tech trends in store for us. Today, Richard Whitehead explores the future of AI and whether all this automation will put us out of a job.
What is the next evolutionary step for data analysis? In this article, Piet Loubser argues that containerization and embedded AI to make data pipelines more intelligent represent the future.
How can two of the most revolutionary concepts help one another? In this article, Ankit Patel discusses the merits of using AI alongside of blockchain for better results and better security.
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.