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Artificial Intelligence

The Robots Are Coming, Stock Analysis Jobs At Risk



Each day, Wall Street produces millions of words encouraging investors to buy or sell stocks, bonds and mutual funds. In the future, more of those words might not be written by humans, warns The Wall Street Journal in a provocative article titled “Can You Tell the Difference Between a Robot and a Stock Analyst?

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Wall Street is beginning to use AI to automate financial news reporting and analysis, which is becoming an effective way to cut costs. The Wall Street Journal article lists some of the AI startups that are threatening to put human stock analysts and financial advisers out of work.

Robots Write Financial Reports Faster, Better, and Cheaper

AI insightNarrative Science Inc. launched in 2010 with computer-generated news articles, produced by AI systems that scan the web to identify appropriate snippets of text and integrate them in a consistent narrative – which is what most human news writers do, but the machines are learning how to do it faster, better, and cheaper. Narrative Science added similar products for financial-services businesses in 2013, and these products now account for most of the company’s revenue.

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Powered by AI, Narrative Science’s advanced natural language generation platform Quill, used among others by Credit Suisse, American Century Investments and Fidelity Investments, goes beyond reporting the numbers – it creates written narratives for any intended audience. “While advances in data visualization and data science are helpful, they don’t take us the last mile,” states the Narrative Science website. “Quill immediately adds value to data by identifying the most relevant information and relaying it through professional, conversational language.”

The result? Intelligent narratives that efficiently communicate the insights buried in Big Data that people can comprehend, act on and trust.

Other startups offering automated reports for financial-services firms include Automated Insights, Yseop, Capital Cube and Goldman Sachs -backed Kensho Technologies. Experts predicts that the number of analysts will continue to fall at larger firms, in part because of the push to automate.

Stock analysts aren’t the only white collar workers to be threatened by the rising performance and cost-effectiveness of AI systems. Tony Williams, founder of the British-based legal consulting firm Jomati Consultants, is persuaded that AI and and robotics will change the entire legal landscape in just over a decade, and future law firms will see nearly all their process work handled by artificial intelligence robots.

A Jomati report titled “Civilisation 2030: The Near Future for Law Firms” predicts that the artificial intelligence technology will replace all the work involving processing information.

AI bots could foreseeably take over any work with a systemic component that involves the processing of information.

That essentially means that the robots are coming to take all white collar jobs, with the exception of jobs that require a high degree of creativity and other human traits that can’t be efficiently emulated by automation.


Images from Narrative Science and Wikimedia Commons.

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  1. Burnt Eloi

    July 14, 2015 at 11:06 pm

    mmkay, how about we dont let AI run rampant through our financials? Just a suggestion.

    • venzen

      July 15, 2015 at 4:17 am

      The way I’m understanding the article it is talking about AIs doing market analysis and reporting, which given the complexity and tedium of the task, makes sense.

      However, when it comes to making investment and trading decisions based on that AI-produced data, it is certain that such a task can only profitably be done by a human being: the task requires human intelligence and creativity, because the markets are an expression of human mass psychology.

      • Giulio Prisco

        July 15, 2015 at 2:36 pm

        Let’s enjoy our superiority to machines for tasks that require intelligence and creativity – until it lasts. Won’t last long.

    • Giulio Prisco

      July 15, 2015 at 2:39 pm

      But we do, for high frequency trading and other specific applications suitable for the speed and algorithmic accuracy of AIs. Someday soon, AIs will be able to take over other more creative tasks as well.

  2. gogoboy

    July 15, 2015 at 1:12 am

    A new way to manipulate market: spread false alerts and news to confuse AI.

  3. venzen

    July 15, 2015 at 4:21 am

    Once the Bitcoin protocol’s consensus rules incorporate machine learning, we’d have a benevolent, distributed AI botnet to put all those banksters, politicians and lawyers out of work!

  4. Gooseling

    July 23, 2015 at 4:40 am

    With Decentralization it wont be easy to manipulate markets as it is today. As for Employment Risk The most expensive would be the first to go and would resist the most.
    I am yet to find a bot that really does the range of work required though it will come soon enough. If anyone knows of a good bot that does the analysis and gives a relatively accurate forecast do let us know.
    Hope someone sets up a comparison page soon 🙂

  5. John VanWagoner

    December 28, 2015 at 7:57 am

    As consciousness evolves humanity will eventually be left behind..

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Artificial Intelligence

Bitcoin Giant Bitmain Enters the High Stakes AI Race



Artificial Intelligence

The Sophon, named for a fictional proton-sized supercomputer, could be the tool to train neural networks in data centers worldwide. It is the latest project being developed by Bitmain Technologies Ltd., the bitcoin mining giant that has carved out a dominant position in bitcoin mining.

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Such chips, called application-specific integrated circuits (ASICs), could unleash a new wave of distributed computing, according to Michael Bedford Taylor, a University of Washington professor who studies bitcoin mining and chips.

Sophon is due to debut before the end of the year.

Bitmain Has The Know-How

Bitmain has the background to play a role in the expanding artificial intelligence industry. The company designs the silicon that goes in bitcoin mining equipment, assembles the machines and sells them worldwide, in addition to its own bitcoin mining operation and the ones that it manages for other mining pools.

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Bitmain’s founders are not averse to playing a spoiler role.

Jihan Wu, the co-founder of Bitmain, supports the New York Agreement that seeks to double the bitcoin block size under the SegWit2X proposal, a move that some in the bitcoin community view as an attempt to give the miners control over bitcoin.

Some also believe Wu was behind the recent bitcoin split known as bitcoin cash, which at least one of Bitmain’s miners supported, a contention that Wu has denied. Wu points out that he was among the supporters of Bitcoin Unlimited, an earlier bitcoin scaling proposal that did not get activated.

Why Wu Supports Forks

Wu nonetheless said splits should be allowed. He said a fork is inevitable since people in the bitcoin community do not agree on how to best scale bitcoin.

Wu met Micree Zhan, Bitcoin’s co-founder, when Zhan was running DivaIP in 2010, a company that made a device that allowed a user to stream a TV show on a computer screen.

In 2011, Wu needed a chip designer to build a mining operation and approached Zhan. Zhan first designed an ASIC to run SHA-256, the cryptographic calculation used in bitcoin, at maximum efficiency. It took him six months to finish the job. His first rig, Antminer S1, was ready in November 2013.

Bitmain felt the sting of the 2014 Mt. Gox meltdown. But by 2015, bitcoin’s price bottomed out and later recovered. In the meantime, Bitmain introduced its Antminer S5.

Bitmain now employs 600 people in Beijing.

Also read: Bitmain clarifies its ‘bitcoin cash’ fork position

Ready To Take On Google

Bitmain has since developed a deep learning chip with improved efficiency. Users will be able to build their own models on the ASICs, enabling neural networks to deliver results at a faster pace. Google’s DeepMind unit used this technique to train its AlphaGo artificial intelligence.

Bitmain plans to sell the chips to any company looking to train its own neural nets, including firms like Alibaba, Tencent and Baidu. Bitmain could build its own data centers with thousands of deep learning rigs, renting out the computation power to clients the way it does with bitcoin mines.

Professor Taylor said companies like Bitmain that have excelled in bitcoin mining could take on the Googles and Nvidias since they have developed the skills to survive in an ultra-competitive and highly commoditized industry, and have the system level design expertise and the ability to reduce data center costs.

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Artificial Intelligence

Dutch Police Use Augmented Reality to Investigate Crime Scenes



Dutch police are undertaking an experiment to see if augmented reality can help officers at a crime scene, according to the New Scientist.

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Using an AI system video from the body cameras worn on the officers at the scene will relay back to experts who can guide the officers by making virtual notes which the officers will be able to see via a smartphone or head-mounted device.

Dragos Datcu, principal researcher at augmented reality (AR) company Twnkls in Rotterdam, the Netherlands said:

We now have good enough software and hardware to use augmented reality at crime scenes.

What’s great about the new AI system is the fact that experts can get involved with what the crime scene investigators are doing regardless of where they are located.

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So by viewing the footage that is sent from a camera on the police vest, a chemical specialist in one location can view it while a forensic scientist in another location can too. The system is similar to the popular Pokémon Go smartphone game that has grabbed the attention of millions of people around the world.

Not Suitable for Making an Arrest

However, while the technology may prove beneficial in providing an extra pair of eyes for investigating crime scenes, when it comes to making an actual arrest the technology is not suitable for that just yet.

According to Nick Koeman, innovation adviser from the National Police of the Netherlands, the officers undertaking the AI system trial found the extra information distracting.

Of course, some may simply say that ensuring a complete team is at the scene of a crime would be more beneficial for an investigation; however, that is not always possible due to budget cuts and time constraints.

As such the use of an AI system that can cut down on the number of people involved at a crime scene without sacrificing on the required thoroughness could potentially provide the answer that many police departments are searching for.

Not only that, but by reducing the number of people at a scene it cuts the potential possibility of contaminating evidence. The use of AI gives people the chance to assess the evidence and discover additional clues without being at the crime scene.

AI could also help in court cases by helping to recreate a scene for a jury, but as Michael Buerger, professor of criminal justice at Bowling Green State University in Ohio states, legal challenges are likely to raise when augmented reality (AR) is used in the courts.

Featured image from Shutterstock.

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Artificial Intelligence

Apple Patent Reveals Siri-Assisted iMessage P2P Payments Platform



Apple has filed a patent application for a “virtual assistant in a communication session.” On first glance, application 14/713,410 might scare developers of chat bots and the like, but Apple is specific in the scope of their claims – Siri, their virtual assistant platform, will be able to directly communicate with either user in an iMessage conversation and then be able to act on the instructions given. The other participant of the conversation will not see messages intended to Siri, nor messages sent from Siri to the user activating her. This is somewhat different from current implementations of chat bots and virtual assistants in chat programs, in that the classical chat bot for, say, IRC, would be accessible by most of the users of the chatroom.

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Siri Sharing Location Information Between iMessage Participants

Source: USPTO

Siri will also be able to privately give information requested of the other party, even if the other party has not provided it. In the above image, Siri lets the user know that everyone will arrive within five minutes, clearly flexing the GPS data available to her from the other user’s iPhone. One would assume a massive update to the iMessage user agreement will be necessary, and the privacy implications of voluntarily allowing an AI to be involved in every conversation are clear. However, as shown, the default is for the user to give permission for their location information to be shared. If Siri is ever compromised, so too could every conversation on the famously secure iMessage protocol.

Siri Scheduling Meetings Between Participants

Source: USPTO

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However, Siri is not involved in conversations until she is summoned. She is added as another participant when the user summons her or, presumably, adds her manually. As seen in the image above, she can schedule meetings in addition to her other functionalities. However, perhaps most interesting, and most appetizing for malicious hackers, is the prospect shown in the below image. Users who have their financial details linked to their Apple account (which is to say, most or all users) are able to send money via iMessage at the stroke of a message.

Siri Faciliating P2P Payments in iMessage

Source: USPTO

As you can see, Siri suggests giving the funds via cash, likely due to the small amount. According to the patent application, Siri first figures out what options are available to both party, and then presents options. Both users appear to use Bank of America and Paypal, but Siri recommends cash. Both the illustrations and their descriptions in the application make it unclear which option the user selects, although the logo to the left of the success message indicates that cash was, indeed, used. Also shown are some security features in the actual sending of funds, including a thumb print scan and password. One would assume that Apple Pay will play a role in all this, and speculation has abounded that the new platform is meant to rival the Venmo system.

About a year ago, reports were in circulation that Apple and banks were discussing the implementation of such a system, and indeed this patent was first filed over a year ago. Presumably it will see ratification within the next year or two, supposing that other major AI developers like Microsoft choose not to contest it on some of its broader implications.

Microsoft and Google would surely oppose paying patent licensing fees to Apple in order to instantiate their own AI peer-to-peer payment systems, and for the most part, the patent application seems to indicate that Apple would then have sole dominion over that field. Therefore, with numerous dogs in the fight including Cortana, the future of this patent and/or the platform itself (failure to acquire a patent would not prohibit Apple from creating the platform, necessarily) is still very much up in the air. More is sure to surface in the coming months, and Hacked will keep you posted.

Images from Shutterstock and USPTO.

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