NASA is Using Intel’s Deep Learning to Find Better Landing Sites on the Moon
Recently NASA announced that their Frontier Development Laboratory (FDL) would cooperate with Intel to apply deep learning for space exploration.
AI Technology & Industry Review
Recently NASA announced that their Frontier Development Laboratory (FDL) would cooperate with Intel to apply deep learning for space exploration.
The blog author, Rob Farber, has been working on machine learning and related fields as a staff scientist, and participating in relating projects since the 1980s.
Some experts from different fields stated their concerns that with the rapid rise of artificial intelligence in the next few decades, intelligent robots would take over the human world and extinguish the entire human culture.
This method, with considerable computation time and controllable model size, is particularly simple and very useful for implementations on mobile devices such as phones, drones, etc.
Minimization of the KL-divergence can be thought of as maximizing the likelihood ratio, which appears in numerous applications.
In his blog post “How Data Science Apply to Robotics” on Data Science Central, Dr. Ammar A. Raja points out that there are two major problems scientists have encountered while applying data science to robotics.