Deep learning and AI are fundamentally changing the way data is used in computation. They enable computing capabilities that will transform almost every industry, scientific domain, and public usage of data and compute.

The recent success of deep learning algorithms can be seen as the culmination of decades of progress in three areas: research in DL algorithms, broad availability of big data infrastructure, and the massive growth of computation power produced by Moore’s law and the advent of parallel compute architectures.

Deep learning has been employed successfully in such diverse areas as healthcare, transportation, industrial IoT, finance, entertainment, and retail, in addition to high-performance computing.

Examples shown in this video illustrate how the approach works and how it complements high-performance data analytics and traditional business intelligence.

It’s the latest tech in efficient lighting and a staple of many IoT projects, but how do LEDs work?

In this video by Filmmaker IQ, learn the science behind the Light Emitting Diode and basic concepts on how to wire up simple DIY LED circuits.

The main focus of the channel is for filmmakers, so expect a robust discussion of videography and photography as well. Consider this video a two-fer. Smile

Dr. Talia Gershon, a materials scientist by training, came to IBM Research in 2012.

After over 4 years of developing next-generation solar cell materials, she got inspired to learn about quantum computing because it might enable all kinds of discoveries (including new materials).

Having authored the Beginner’s Guide to the QX, she passionately believes that anyone can get started learning quantum!