Terrabytes, Petabytes, and Yottabytes. We toss these terms around quite casually, but do we really know how huge these are?
Using grains of rice and retro computer graphics reminiscent of the Computer Chronicles, the YouTube channel “It’s OK to Be Smart” explores how big big data is and what the future of data storage may be.
FPGAs are the next wave of hardware innovation to transform machine learning. In this session from Build 2018, take a walk through how we are using FPGAs today inside of Microsoft, and how you can start using them today as well.
For the last year, there’s been an increased buzz around quantum computers. Are they hype or just over the horizon? Exactly how far we from the next computing revolution?
I’ll be headed off to Las Vegas this week for an internal Microsoft event. When this video on “taking the luck out of gambling” with Mathematics, came across my desk, I thought it was timely and good enough to share.
From the video description:
Spanning mathematics, psychology, economics and physics, Adam Kucharski reveals the long and tangled history between betting and science, and explains how gambling shaped everything from probability to game theory, and chaos theory to artificial intelligence.
If my post yesterday about DeepMind’s AlphaZero piqued your interest but answered too few questions, then check out this video from teh 2017 NIPS conference where Dr. David Silver delivers the keynote.
Dr. David Silver leads the reinforcement learning research group at DeepMind and is lead researcher on AlphaGo.
Spend some time in Python and you’ll likely encounter its bytecode files — those ‘.pyc’ files Python likes to leave behind after it runs.
Have you ever wondered what’s really going on in those files? Watch this video from PyCon 2018 to learn more about these files and what’s in them.
ML.NET is aimed at providing a first class experience for Machine Learning in .NET. Using ML.NET, .NET developers can develop and infuse custom AI into existing .NET apps through a code-driven and UI driven approach.
ML.NET has been used extensively within Microsoft by Windows, Azure, SQL & Bing for a decade and now these capabilities are available to all .NET developers.
First, AlphaGo beat the best human player in the world by studying thousands of human vs. human games.
Then AlphaGo Zero came along and taught itself to be even better without any human generated data. By the way, it beat AlphaGo.
This is the power of Reinforcement Learning.
Here’s another great Two Minute Papers video on DeepMind’s venture into computer vision.
While the bulk of the content on Frank’s World has been about data science, it’s important not to lose sight of other important topics.
React is just one such important topic.
Here’s a video with John Papa where he talks to Brandy Morgan about Five Things to learn about react components.
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Android nougat begins rolling out to nexus
Android nougat begins rolling out to nexus