- That’s the vision of Andrew Ng, a founder of the Google Brain deep learning project, and former head of AI at Baidu–a position he left in March–who is today announcing a set of five interconnected online courses on the subject.
- “Today, if you want to learn deep learning, there are lots of people searching online, reading [dozens of] research papers, reading blog posts, and watching YouTube videos,” Ng tells Fast Company.
- As Ng sees it, getting to an AI-powered economy is going to take the work of much more than any one, or even several companies.
- “I hope we can build an AI-powered future that provides everyone affordable healthcare, accessible education, inexpensive and convenient transportation, and a chance for meaningful work for every man and woman,” Ng says in his announcement, which is the first from his newly created company, deeplearning.ai.
- Ng is aware that many people are still confused by AI, often getting bogged down in the different subspecialties, and lingo that can easily be misused.
The founder of Google Brain and former head of Baidu’s AI efforts wants to train a giant new workforce to help make “AI the new electricity.”
Continue reading “AI Superstar Andrew Ng Is Democratizing Deep Learning With A New Online Course”
- Our goal is to ensure that the most promising researchers in the world have access to enough compute power to imagine, implement, and publish the next wave of ML breakthroughs.
- We’re setting up a program to accept applications for access to the TensorFlow Research Cloud and will evaluate applications on a rolling basis.
- The program will be highly selective since demand for ML compute is overwhelming, but we specifically encourage individuals with a wide range of backgrounds, affiliations, and interests to apply.
- The program will start small and scale up.
Researchers need enormous computational resources to train the machine learning models that have delivered
recent advances in medical imaging, speech recognition, game playing, and many other domains. The TensorFlow
Research Cloud is a cluster of 1,000 Cloud TPUs that provides the machine learning research community with
a total of 180 petaflops of raw compute power — at no charge — to support the next wave of breakthroughs.
Continue reading “Accelerating open machine learning research with Cloud TPUs”
- Learn about specific performance problems related to these new technologies.
- From code samples to how-to guides, we gather the most popular software developer stories in one place each month so you don’t miss a thing.
- The article explains the various types of machine learning and provides additional resources to get you started.
- When you add something to your cart in Amazon and see a list of other recommended products that you might also like-that’s an example of machine learning.
- Learn about the IoT ecosystem, which consists of a broad set of technologies with a common thread of manageability and security.
When you add something to your cart in Amazon and see a list of other recommended products that you might also like—that’s an example of machine learning. This article explains the various types of machine learning and provides additional resources to get you started.
Continue reading “Top Ten Intel® Software Developer Stories”