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Farid Mheir
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Cognitive technologies are transforming capital markets. Once the preserve of IT experts, they are now moving to center stage—offering enhanced speed, accuracy, and efficiency, and creating 20 to 30 percent in additional capacity, as employees in areas such as post-trade processing are freed from automatable tasks to focus on higher-value activities. The challenge for market participants, facing an array of solutions, is to implement at scale and capture the maximum value at the lowest possible risk.
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Farid Mheir
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The Singularity is coming, Masayoshi Son says. His main thrusts: - The Singularity, when artificial intelligence finally outstrips that of humans, will replace huge swaths of jobs.
- The number of sentient robots on Earth will rival the number of humans.
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Farid Mheir
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What is artificial intelligence? Why is it important? Why is everyone talking about it all of a sudden? If you skim online headlines, you’ll likely read about how AI is powering Amazon and Google’s virtual assistants, or how it’s taking all the jobs (debatable), but not a good explanation of what it is (or whether the robots are going to take over). We’re here to help with this living document, a plain-English guide to AI that will be updated and refined as the field evolves and important concepts emerge.
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Farid Mheir
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A small company called Neodriven, led by former Tesla employee Matt Schulwitz, is announcing a product of the same name that goes on sale today for $1,495. It’s a modified version of the Comma Neo plans that Hotz open sourced, but if Schulwitz has his way, it will be an early player in that revolution.
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An exclusive look at how Alphabet understands its most ambitious artificial intelligence project
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With simulation, we can turn a single real-world encounter — such as a flashing yellow left turn — into thousands of opportunities to practice and master a skill. Here’s how it works.
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An Amazon team at Lab126, a research center based in San Francisco, has developed an algorithm that learns about a particular style of fashion from images, and can then generate new items in similar styles from scratch—essentially, a simple AI fashion designer. The approach is crude and hardly ready for Project Runway, but it hints at the possibilities.
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Farid Mheir
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Artificial Intelligence seems to make headlines with every innovation, garnering both praise and fear. But is it really at the point where we should fear everyday AI? Here are 17 common place applications for AI systems and a look into where the technology could be going.
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Meet Todai Robot, an AI project that performed in the top 20 percent of students on the entrance exam for the University of Tokyo -- without actually understanding a thing. While it's not matriculating anytime soon, Todai Robot's success raises alarming questions for the future of human education. How can we help kids excel at the things that humans will always do better than AI?
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Farid Mheir
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If someone had been secretly storing every single text, tweet, blog post, Instagram photo, and phone call you’d ever made, would they be able to recreate you?
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Bitmain will probably make around $200M-$250M in profits this year just from their BM1387 chip (they have other products, including a Scrypt ASIC). Even after including ongoing R&D and other future investment, they are likely worth well over $1 Billion as a business and are probably the largest and most profitable company in Bitcoin.
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Farid Mheir
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The robots are coming for Wall Street's jobs, and McKinsey & Co has an idea of exactly what jobs they are coming for. - Automated technologies could have a big impact on 60% of Wall Street jobs, according to a new report by McKinsey, the consulting firm.
- Integration of new technology doesn't guarantee big revenue spikes, but it is necessary to keep firms afloat in the digital age. Some big firms are already taking action.
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HighRadius' solution uses AI, machine learning, and optical character recognition to identify a payer, match them to an uncontextualized payment, and match that to an open receivable. Moreover, it gives companies the option of sending an automatic prompt to customers whose debts are outstanding. By leveraging this solution, BAML aims to reduce costs for its large business clients.
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In the new study, the neural net learned what mouth shapes were linked to various sounds. The researchers took audio clips and dubbed them over the original sound files of a video. They next took mouth shapes that matched the new audio clips and grafted and blended them onto the video. Essentially, the researchers synthesized videos where Obama lip-synched words he said up to decades beforehand.
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Relying on an army of amateurs might seem odd, but it remains the most efficient way of training AI. “It’s pretty much the only way,” says Premkumar Natarajan, who specializes in computer vision at the USC Information Sciences Institute.
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Intensive efforts to re-create human cognition will transform the way we work, learn, and play
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AI will change that because there is no way any human being can outsmart, for example, IBM’s Watson, at least without augmentation. Smart machines can process, store, and recall information faster and better than we humans. Additionally, AI can pattern-match faster and produce a wider array of alternatives than we can. AI can even learn faster. In an age of smart machines, our old definition of what makes a person smart doesn’t make sense.
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Researchers from the Facebook Artificial Intelligence Research lab (FAIR) recently made an unexpected discovery while trying to improve chatbots. The bots — known as “dialog agents” — were creating their own language — well, kinda. Using machine learning algorithms, dialog agents were left to converse freely in an attempt to strengthen their conversational skills.
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Intelligence = Understanding + Reasoning In his book “Thinking Fast and Slow”, Daniel Kahneman discusses the idea that human minds use two different and complementary processes, two different modes of thinking, which we call Understanding and Reasoning. The idea has been discussed for decades and has been verified using psychological studies and by neuroscience.
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ARK Invest aims to identify large-scale investment opportunities resulting from technological change. We believe innovation is key to growth. From a broad spectrum of disruptive innovations, Big Ideas represents our annual breakout of technologies that we believe will accelerate significantly in the months ahead.
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Google quietly released an academic paper that could provide a blueprint for the future of machine learning. Called “One Model to Learn Them All,” it lays out a template for how to create a single machine learning model that can address multiple tasks well.
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Capgemini’s 2017 Edition of TechnoVision presents 37 compelling technology trend building blocks of inspiring, challenging, and disruptive perspectives.
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80 private companies in cybersecurity that are using AI and categorized them into 9 areas of operation.
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WHY IT MATTERS
AI is entering the financial industry in droves and as this article from McKinsey shows, using digital technology may become essential to survive for many organizations.