Quantitative Strategy, Trading, and Algo Development Industry News

Artificial Intelligence and Machine Learning in the News, February 19, 2018

AI Weekly: Get ready for AI chips everywhere

…This has been a big week for specialized chips aimed at performing machine learning tasks. Google announced the open beta of its second generation Tensor Processing Unit, Amazon is reportedly working on a dedicated AI chip for its Echo smart speaker, and ARM announced its own AI hardware.

It’s easy to see why that’s happening: The math needed to run machine learning algorithms is incredibly computationally intense. Chips optimized for the task do that faster and more efficientl…
2018-02-16 00:00:00 https://venturebeat.com/2018/02/16/get-ready-for-ai-chips-everywhere/

CloudQuant Thoughts : Trading firms were fast to adopt FPGAs to allow them to make decisions at the packet level. It is only a matter of time before we have AI making decisions at the same level. See Trevor Trinkino’s webinar with FXCM to see how you can use ML in CloudQuant.

 

The future is all about AI devices that can actually serve us

…The role of Artificial Intelligence (AI) devices in augmenting humans and in achieving tasks that were previously considered unachievable is just amazing. With the world progressing towards an age of unlimited innovations and unhindered progress, we can expect that AI will have a greater role in actually serving us for the better.

Since I have been associated with this wave of change towards AI-driven technologies and modules, I h…
2018-02-16 11:00:23+00:00 http://bigdata-madesimple.com/the-future-is-all-about-ai-devices-that-can-actually-serve-us/

CloudQuant Thoughts : The difference between early automotive voice recognition (which is only four years old) and the voice recognition in our phones today is night and day and this is all thanks to AI. Tesla continues to gather data in the real world to improve their AutoPilot in real time. Our cars can stop themselves or steer back into lane. AI will nibble away at those minor problems each of us have. Why not let it nibble away at your trading problems? Test out your Algo ideas at app.cloudquant.com!

 

Top 5 Data Science & Machine Learning Repositories on GitHub in Jan 2018

…Introduction

Breakthroughs in data science and machine learning are happening at a break-neck pace. If you are working in this field, it’s extremely important to keep yourself updated with what’s new.

Following GitHub repositories is one such way to do so. You can see the latest developments, interesting projects and their applications. I can not tell how much learning can happen through this.

You can download the code and run it on your own machine or simp…
2018-02-19 07:32:40+05:30 https://www.analyticsvidhya.com/blog/2018/02/top-5-github-repositories-january-2018/

CloudQuant Thoughts : It doesn’t surprise us in the least that Machine Learning is exploding on Github.

 

Scaling to optimism: Futurist, author and computer scientist Ramez Naam on the power of cheap tech

… promise for entertainment and education. “It has to get down to being super high-fidelity in lightweight, unobtrusive mobile devices that are un-tethered before it’s really good,” he said.

And some artificial intelligence systems are very good today, but only where success is easy to define, such as in pattern matching. “They can be better than humans at almost any narrow task,” he said. “They’re already better at face recognition in pictures. They’re better at spotting cats in pictures.” But move into unstructured tasks with no clear success metrics or sufficient data, and “there’s still nothing like humans.”

Na…
2018-02-13 00:44:31+00:00 https://www.geekwire.com/2018/scaling-optimism-futurist-author-computer-scientist-ramez-naam-power-cheap-tech/#disqus_thread

Cloudquant Thoughts : There is no doubt that “out of the box” libraries are working phenomenally well for “narrow” tasks in AI. Fortunately, a lot of financial trading opportunities are very “narrow” task. Get to it with CloudQuant to test your ideas and gather data for the next great “narrow” AI.

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