You can fit the entire iTunes Library in a empty can of Coke (from Reddit)

The iTunes Store has about 37,000,000 songs available worldwide.Lets immagine each song is encoded at the highest mainstream MP3 Quality (320 kbps), and that the average song is 4 minutes long.320 * 4 * 60= 7.7 Megabytes per song7.7 * 37,000,000= 285,000,000 Megabytes =285 TerabytesA modern archive HDD can store 8TB worth of data so 285/8 =36.6 Hard Drives.But it gets better…Modern Micro SD Cards can store about 200GB of data per card. Each Micro SD Card has a volume of 165 mm3, and a mass of 0.5g.We could store the entire iTunes Library on just 1425 Micro SD Cards. (285/0.2 = 1425)The cards would weigh just 713 grams. They would take up the space of 235cm3 meaning that you can fit the entire iTunes Library in an empty can of Coke.

via /r/technology

AMA Andrew Ng and Adam Coates

Dr. Andrew Ng is Chief Scientist at Baidu. He leads Baidu Research, which includes the Silicon Valley AI Lab, the Institute of Deep Learning and the Big Data Lab. The organization brings together global research talent to work on fundamental technologies in areas such as image recognition and image-based search, speech recognition, and semantic intelligence. In addition to his role at Baidu, Dr. Ng is a faculty member in Stanford University’s Computer Science Department, and Chairman of Coursera, an online education platform (MOOC) that he co-founded. Dr. Ng holds degrees from Carnegie Mellon University, MIT and the University of California, Berkeley.Dr. Adam Coates is Director of Baidu Research’s Silicon Valley AI Lab. He received his PhD in 2012 from Stanford University and subsequently was a post-doctoral researcher at Stanford. His thesis work investigated issues in the development of deep learning methods, particularly the success of large neural networks trained from large datasets. He also led the development of large scale deep learning methods using distributed clusters and GPUs. At Stanford, his team trained artificial neural networks with billions of connections using techniques for high performance computing systems. via /r/MachineLearning

IBM Watson is starting to shows real results, and tremendous potential as various speakers describe in recent event in NewYork

via /r/Futurology