Already a leader in the advancement of artificial intelligence, IBM has brought AI technology to developers with open arms. IBM recently launched a series of projects for developers to access open source code and services to build AI and machine learning applications. The vendor wants to democratize these technologies, so they can be easily accessed […]
Since its founding by Elon Musk and others nearly two years ago, nonprofit research lab OpenAI has published dozens of research papers. One posted online recently is different: Its lead author is still in high school. The wunderkind is Kevin Frans, a senior currently working on his college applications. He trained his first neural net—the kind of system that tech […]
With machine learning making disruptive innovation easier than ever before,
it’s up to new entrepreneurs to show established players how it’s done.
Brian Korzynski, senior application developer at United Shore, explains why
it’s essential that businesses understand the pros and cons of machine
learning.
A great video of Tesla’s updated “autopilot” software which gives Tesla
electric cars quite impressive self-driving capabilities.
We’re releasing a charter that describes the principles we use to execute on OpenAI’s mission. This document reflects the strategy we’ve refined over the past two years, including feedback from many people internal and external to OpenAI. The timeline to AGI remains uncertain, but our charter will guide us in
System does self-discovery of patterns, regularities and features etc. from the input data and relations for the input data over output data. Discovering similarities and dissimilarities to forms clusters i.e. self-discovery is main target here. Since the examples given to the learner are unlabeled
The post Unsupervised Learning an Angle for Unlabelled Data World appeared first on Vinod Sharma’s Blog.
We’re launching a transfer learning contest that measures a reinforcement learning algorithm’s ability to generalize from previous experience. In typical RL research, algorithms are tested in the same environment where they were trained, which favors algorithms which are good at memorization and have many hyperparameters. Instead, our contest tests an
At the MIT-IBM Watson AI Lab, researchers are training computers to recognize dynamic events.
Electrodes on the face and jaw pick up otherwise undetectable neuromuscular signals triggered by internal verbalizations.
