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AI & Machine Learning News. 18, June 2018

News clips provided algorithmically.


 

Citing Vanguard, InvestCloud Expands Its Trans-Atlantic Footprint

InvestCloud has purchased the U.K.-based client engagement tech company rplan for $20 million, it announced today. Extolling the need for fund managers to pay attention to “the success of companies like Vanguard,” InvestCloud is touting its acquisition’s direct-to-consumer capabilities as a way for managers to grow their reach.

The acquisition comes at an interesting time for rplan. The company, which was launched in 2010, notified its own retai…
2018-06-11 16:54:25-04:00 Read the full story.

CloudQuant Thoughts: The comment “build a technology beachhead” caught out attention. In the past, the technology beachheads have been focussed on pure technology. This time the beachhead is establishing a foundation focussed on customer service too. Technology needs to understand and focus on the customer. It is one of the many reasons CloudQuant has been enhancing our platform with customer communication tools including our forums, live chat, and CRM systems.

TT’s Biondo Says AI Can Tackle Spoofing And More

It’s been eight months since Trading Technologies purchased AI-driven regulatory software firm Neurensic. Since then the firm has integrated the software into the TT platform and rebranded the service as TT Score. Jay Biondo, product manager, surveillance at Trading Technologies, spoke with John Lothian News at the FIA IDX 2018 conference about how the technology can be adapted to multiple market users from trading firms to regulators.

The software…
2018-06-15 14:50:17+00:00 Read the full story.

CloudQuant Thoughts: The team working with Jay Biondo and Morgan Trinkaus at Trading Technologies is helping to improve the industry from market manipulation. Every compliance officer for listed derivatives should be aware of the ability to quickly see market manipulation that is made possible with supervised learning. Futures traders and algo programmers should also consider using this to be aware of how a compliance officer may view their trading activity.

Opinion: Fiduciary Duties Need to Extend to Research

Most of the coverage of the Securities and Exchange Commission’s recent proposal that replaces the Department of Labor Fiduciary Rule focused on the different standards between brokers and advisors and the shortcomings of a disclosure-based approach to regulation. We agree with many of these criticisms, as we wrote last week before the proposal was released.

However, the SEC’s proposal contains an even more fundamental flaw. Even if brokers were…
2018-06-14 12:48:47-04:00 Read the full story.

CloudQuant Thoughts: The (proposed) use of machine learning and natural language processing in improving the quality of research is encouraging. The addition of these techniques with robo-advising is promising. We hope to see these industry initiatives advance so that improved quality “at scale” can be achieved.

 

This ML Model Has Already Predicted 2 Possible Winners For FIFA World Cup

One of the world’s most popular event, the FIFA World Cup and it’s thrilling matches will not hold much anticipation for Andreas Groll, Christophe Ley, Gunther Schauberger and Hans Van Eetvelde, researchers from the Technical University of Dortmund in Germany. Because they’ve already predicted the winner in their new paper titled, Prediction of the FIFA World Cup 2018 — A random forest approach with an emphasis on estimated team ability parameter…
2018-06-14 09:15:29+00:00 Read the full story.

CloudQuant Thoughts: The world is watching the World Cup! It is on the big screen at CloudQuant. Who are you hoping will win? Tweet us and let us know.

 

Mizuho prepares to open AI Lab

Mizuho prepares to open AI Lab

Source: Mizuho

Mizuho Financial Group, Inc. (President & Group CEO: Tatsufumi Sakai), Blue Lab Co., Ltd. (President, CEO, & Representative Director: Daisuke Yamada), and Groovenauts, Inc. (President & CEO: Eihiro Saishu) will be holding a kick–off event on June 18, 2018 for Open AI Lab Tokyo, a jointly–established facility that seeks to leverage AI to explore new cross-industry business opportunities.

In recent y…
2018-06-15 12:12:00 Read the full story.

CloudQuant Thoughts: The leading brokerage firms and banks are all seeking ways to jump-start their adoption of AI & ML tools and techniques.

Can Artificial Intelligence ease up business processes?

Since last two millennia, the so-called intelligent species of the planet Earth has been obsessed with technological possibilities and their implications in real- time. At first, it was often a surprise then slowly adaption of such technologies started to emerge. With time, more enhancements were taken place, a series of continuing series of advancements made available for commercial as well as personal use. It started all started with integrated…
2018-06-16 06:49:16+00:00 Read the full story.

CloudQuant Thoughts: This article is not one of those typical “AI is going to change the world” or “AI is a job killer” pieces. Rather it is one to encourage thoughtful innovation with distributed computing. However, the title invokes thoughts of “Work smarter not harder.” I always hated that phrase. Whenever I heard someone say “Work Smarter” it was usually in the context of someone not understanding the efforts and process involved in doing whatever task. This article is an introduction into the world of personal or team innovation using dockers and containers. If you don’t know where to start then read the full story.

How Spirit AI uses artificial intelligence to level up game communities

Spirit AI is using artificial intelligence to combat toxic behavior in game communities. The London company has created its Ally social intelligence tool to decipher online conversations and monitor whether cyberbullying is taking place.

It is the brainchild of researchers at New York University, according to Mitu Khandaker, creative partnerships director at Spirit AI and an assistant arts professor at the NYU game center. The company uses AI, n…
2018-06-17 00:00:00 Read the full story.

CloudQuant Thoughts: Wonder how they are going to differentiate between trash talking in a game and bullying.

Why Is Random Search Better Than Grid Search For Machine Learning

Optimising hyperparameters is considered to be the trickiest part of building machine learning and artificial intelligence models. It is nearly impossible to predict the optimal parameters while building a model, at least in the first few attempts. That is why, we always go by playing with the hyperparameter to optimise them. However, this is not scalable for high dimensional data because the number of the increase in iterations, which in turn expands the training time.

When it comes to t…
2018-06-14 10:44:32+00:00 Read the full story.

CloudQuant Thoughts:  If you have been following our use of JupyterLab you will know that we use AI and ML in many of our internal operations. We regularly are discussing how AI and ML can help in portfolio optimization and risk management. This article is a great starting point for those interested in tuning hyperparameters.

 

Below the fold.


 

Ctrl-labs’ armband lets you control computer cursors with your mind

Controlling a mouse pointer with your mind may sound like science fiction, but Ctrl-labs, a startup based in New York City, is working hard to make it a reality.

I recently swung by the company’s new digs in Manhattan — a high-rise suite overlooking Herald Square, a few blocks south of the Theater District. It had been two weeks since Ctrl-labs’ employees had moved into the Midtown office, lead scientist Adam Berenzweig told me, and the smell of…
2018-06-16 00:00:00 Read the full story.

Introducing Dask for Scalable Machine Learning

Although Python contains several powerful libraries for machine learning, unfortunately, they don’t always scale well to large datasets. This has forced data scientists to use tools outside of the Python ecosystem (e.g., Spark) when they need to process data that can’t fit on a single machine.

But thanks to Dask, data scientists can now use the Python tools they already know and love to process large volumes of data in parallel.

The Challenge of Scaling to Large D…
2018-06-15 11:03:56-05:00 Read the full story.

Differentiating Machine Logic And Human Reasoning In ML Systems

Machine learning and artificial intelligence technologies have significantly evolved over the years. Concepts such as neural networks, which were discovered in the 1950s, are now being practically implemented in ML systems. Newer techniques such as backpropagation, support vector machines, deep learning are also coming into the picture in the context of ML.

With all of these developments, the concept of Machine …
2018-06-18 11:28:19+00:00 Read the full story.

2018 Anaconda State of Data Science Report Released

We at Anaconda greatly value our data science community and are always striving to learn more about how you are using our products and how we can improve your overall experience.

With this goal in mind, we recently launched our first Anaconda State of Data Science Survey to gain a better understanding of what users accomplish with Anaconda, what they think about it, and the data sources, visualization, and scale-out approaches they are using. …
2018-06-13 08:44:46-05:00 Read the full story.

Meet AutoAugment, Google’s New Research Which Builds On AutoML Efforts

Google is at an inflection point where it is doubling down on its existing deep learning techniques. For example, the company’s latest research, AutoAugment: Learning Augmentation Policies from Data, explores a reinforcement learning algorithm which increases the amount and diversity of data in an existing training dataset. The latest research tackles deep learning’s biggest hurdle — huge amount of quality data to train models. So, the Mountain …
2018-06-18 08:59:27+00:00 Read the full story.

 

Inspire Idaho promotes low-cost tech training programs for both urban and rural residents

Tech executives like Google’s Sundar Pichai have become fond of saying that in the future, people will have to become continuous learners in order to keep up with the pace of technological change in the workforce. But many current workforce development programs aren’t designed to help people from a wide variety of backgrounds gain new skills effectively and rapidly.

That’s one of the challenges Inspire Idaho, a tech training program developed by…
2018-06-17 00:00:00 Read the full story.

Can ML Algorithms Create Beautiful Music? Here Are A Few Use Cases

Machine learning may give a tough time to songwriters and musicians because the algorithms are definitely getting better at generating music. Composing music using artificial intelligence isn’t a new development as startups and researchers have been attempting it for a long time now. Remember the Chicago-based audio startup, Brain.fm? It promised to provide a new state of medication for the brain using AI-driven …
2018-06-14 12:29:22+00:00 Read the full story.

Choosing the Right Machine Learning Algorithm – Hacker Noon

Choosing the Right Machine Learning Algorithm

Machine learning is part art and part science. When you look at machine learning algorithms, there is no one solution or one approach that fits all. There are several factors that can affect your decision to choose a machine learning algorithm.

Some problems are very specific and require a unique approach. E.g. if you look at a recommender system, it’s a very common type of machine le…
2018-06-18 09:16:01.120000+00:00 Read the full story.

Pushing AI Performance Benchmarks to the Edge

As I discussed recently, the AI industry is developing benchmarking suites that will help practitioners determine the target environment in which their machine learning, deep learning or other statistical models might perform best. Increasingly, these frameworks are turning their focus to benchmarking AI workloads that run on edge devices, such as “internet of things” endpoints, smartphones and embedded systems.

There are as yet no widely adopted AI benchmarking suites. Of the ones under development, these are the ones that stand the greatest chance of prevaili…
2018-06-14 09:34:41+00:00 Read the full story.

AI Is Coming to Edge Computing Devices

Very few non-server systems run software that could be called machine learning (ML) and artificial intelligence (AI). Yet, server-class “AI on the Edge” applications are coming to embedded devices, and Arm intends to fight with Intel and AMD over every last one of them.

Arm recently announced a new Cortex-A76 architecture that is claimed to boost the processing of AI and ML algorithms on edge computing devices by a factor of four. This does not include ML performance gains…
2018-06-13 14:09:39+00:00 Read the full story.

MIT researchers develop a smart power outlet that can prevent your house from burning down

Modern power outlets are a lot safer than they seem from the outside looking in. Take arc fault circuit interrupters (AFCIs), for example: They’re sensors installed behind the wall that trip an outlet’s circuit when they detect a potentially dangerous spark in the power line. Trouble is, arc-fault detectors are sometimes too sensitive, and, as a result, switch off the power prematurely or unnecessarily.

A team at MIT’s Department of Mechanical E…
2018-06-15 00:00:00 Read the full story.

 

Chatbot Natural Language Processing Unabated Hype

jects in regulated sectors, especially financial services, have reached the realisation that Natural Language Processing (NLP) has severe limitations compared to the unabated hype.

NLP is powered by machine learning.

Let’s call it a more realistic name. Machine-controlled learning. There are several suitable conversational applications for this capability. In the regulated world, there are matters that must remain under human-controlled learning.

There are three distinctive areas not suitable for Chatbot NLP as it is simply inappropriate to empower machine-controlled learning:

Moral and ethics, which incl…
2018-06-15 08:32:32 Read the full story.

 

Testing Amazon’s new DeepLens camera: Can this $249 device really recognize everyday objects?

It’s been seven months since Amazon Web Services gave the first look at DeepLens — a $249 programmable video camera that runs machine learning models for object recognition — and now the device is finally here.

The camera, which starts shipping Thursday, is meant to put Amazon’s powerful machine learning capabilities in the hands of all developers. Powered by an Intel Atom X5 processor, DeepLens can recognize faces and objects, read text and more.

On the eve of its release, GeekWire got a chance to check out the device, first announce…
2018-06-14 04:01:07-07:00 Read the full story.

Get a sneak peek at Amazon Web Services’ latest infrastructure updates from Peter DeSantis at the GeekWire Cloud Tech Summit

As the man in charge of the public cloud leader’s sprawling computing resources, Peter DeSantis needs to have his finger on the pulse of the latest and greatest in infrastructure technology. He’s planning on sharing some of those insights with the cloud community in a few weeks at the GeekWire Cloud Tech Summit.

DeSantis, vice president of infrastructure for Amazon Web Services, will be the concluding speaker June 27 at the second annual Cloud T…
2018-06-12 17:00:03-07:00 Read the full story.

France’s Front National (who support the EU’s mandatory copyright filters) furious when Youtube’s copyright filters kill their channel

kill their channel

On June 20, an EU committee will vote on mandatory copyright filters — the idea that everything that gets posted to an EU service should be checked for copyright violations by a machine learning system that will decide what gets published and what gets censored.

These filters don’t even exist yet; the closest we come is YouTube’s Content ID, which Google created voluntarily, and which is notorious for acts of arbitrary, incorrect censorship. Google spent $60,000,000 building Content ID, so that’s the table stakes for any new online service.

That’s what makes the far right European part…
2018-06-17 00:00:00 Read the full story.

How data drives decisions at 6 Chicago tech companies

“Without data, we would just be guessing.”

To Margaret Jastrebski, ShopRunner’s SVP of enterprise product, turning to data before making critical business decisions is a no brainer. But although few leaders would admit to making their business decisions on whims, some companies take a more analytical approach than others.

We spoke to a few of them to learn more about how they use data as a compass.

image via shiftgig

Shiftgig is a two-sided o…
2018-06-14 00:00:00 Read the full story.

10 Things You Need to Know about GDPR

The European Union’s General Data Protection Regulation (GDPR) requires all organizations with information about European residents (read: any global company) to comply with new rules about how personal data is stored, secured, used, moved, and removed from their systems. Penalties for failure to comply can be as high as 4% of a company’s global revenue, or 20 million euros, whichever is greater. The stated goals of GDPR are to harmonize data pri…
2018-06-12 00:00:00 Read the full story.

We asked Barclays’ new head of prime sales what’s driving massive hedge-fund launches and how the bank plans to win back business from Wall Street competitors

Barclays

Many Wall Street banks experienced stellar equities performance in the first quarter amid volatility spikes and increased client trading. Industrywide, equities revenue rose 28% during the period, according to research from Keefe, Bruyette & Woods.

But no bank grew more precipitously than Barclays, which saw its equities revenues shoot up 43%, to $827 million, compared with $577 million in the first quarter of 2017, with derivatives an…
2018-06-18 00:00:00 Read the full story.

Stanford researchers harnessed AI to generate memes

Artificial intelligence can do just about anything these days, like produce 3D renderings of an object from snapshots, defeat facial recognition systems, or track wildlife in the Serengeti. It’s also surprisingly good at generating memes.

In a white paper titled “Dank Learning” (yes, really), Abel L. Peirson and E. Meltem Tolunay, the two lead scientists on the project, describe a neural network that ingests, gains an understanding of, and spits…
2018-06-15 00:00:00 Read the full story.

 

 


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