Tweaking machine learning algorithms and models won't always be for experts only, thanks to these cutting-edge projects Topics Spotlight: New Thinking about Cloud Computing ...

The second key to a successful machine learning (ML) project is an ability to process collected data. The introduction of general-purpose GPUs in 2006 and their continued evolution has unlocked ...

Google Launched a New Machine Learning Journal and it support reactive diagrams September 4, 2018 March 31, 2017 by Brian Wang In collaboration with OpenAI, DeepMind, YC Research, and others, Google ...

Some 87% of corporate projects do not get past the experiment phase and never make it into production. There's no need to reinvent the wheel, learn to program and then relearn statistics as though ...

This article looks at 13 open source projects that are remaking the world of AI and machine learning. Some are elaborate software packages that support new algorithms. Others are more subtly ...

With AI quickly becoming strategic, look for projects that can give you some quick business wins and help you gain the skills to apply machine learning more broadly. Machine learning is fast ...

Using a mix of PyTorch, a framework co-created by Facebook, and machine-learning platform Allegro Trains, med-tech company theator is now providing surgeons with a tool that lets them watch over ...

Humanity’s latest, greatest invention is stalling right out of the gate. Machine learning projects have the potential to help us navigate our most significant risks — including wildfires ...