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Nasdaq launches machine learning tech for Nordic Markets surveillance Financial Industry & Algorithmic Trading News

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Stockholm - Nasdaq has deployed machine learning technology across its entire Nasdaq Nordic markets-Stockholm, Copenhagen, Helsinki, and Iceland to bolster its market surveillance efforts. Nasdaq's SMARTS, in collaboration with the Nasdaq Nordic Market Surveillance team, has implemented machine learning within its surveillance technology to analyze abnormal market events and their subsequent categorization by surveillance analysts across the Nordic markets. The aim of these algorithms is to predict which actions analysts are likely to take based upon their handling of historical activity as well as discover new relationships within the data-thereby strengthening Nasdaq Nordic's surveillance mechanism to detect market abuse. The next stage will be to integrate machine learning technology into the SMARTS offering for exchange and regulator clients worldwide. The machine learning capabilities will initially be used to prioritize the surveillance workflow.


Neo4j raises $80 million for next-generation graph databases

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They're a type of non-relational technology that depicts relationships connecting various entities -- for instance, two people in a social network. And if the news today out of graph database company Neo4j is any indication, they're a veritable cash cow. Neo4j announced that it has raised $80 million in a Series E funding round led by One Peak Ventures and Morgan Stanley Expansion Capital, with participation from Creandum, Eight Roads, and Greenbridge Partners. The San Mateo firm has brought in $160 million to date -- the largest cumulative investment in a graph database company, it claims -- and now has over 100 employees across offices in San Francisco and Malmö, Sweden. Emil Eifrem, Neo4j's CEO and cofounder, said the capital would be used to grow its developer tools and support popular use cases, particularly graph-enabled artificial intelligence (AI) and machine learning (ML) systems.


Machine Learning with AWS SageMaker

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This article is a summary of a talk I gave at the yearly Webstep's "Kompetensbio" event. Every year Webstep invites all developers to this free event that happens in some nice local cinema, where they can enjoy interesting tech-talks and watch some exciting movie. This year, for the first time, the event took place in three cities: Uppsala, Malmö and Stockholm. Ever since I was a child and to this day, I was a big Science-fiction fan. Growing up in a small town in former Eastern bloc country, was not really a lot of fun. Especially if you were smart and curious.


Volvo self-driving cars green-lit for tests on Swedish public roads Verdict

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The Swedish Transport Agency Transportstyrelsen has given Volvo self-driving cars venture Zenuity approval to begin testing driverless cars on public roads. The cars will be tested at a maximum speed of 80km/hour (50mph) on three Swedish highways. Throughout all tests a trained driver will sit behind the wheel, although will keep their hands off it unless an intervention is required. Zenuity is a joint venture between car giant Volvo and Veoneer, a spin-off of vehicle safety company Autoliv specialising in autonomous driving software. The three roads that the self-driving cars will be tested on are the E4 between Stockholm and Malmö, the E6 between Gothenburg and Malmö and road 40 between Jönköping and Gothenburg.


Swedish study talks up benefits of artificial intelligence

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A study by researchers at Sweden's prestigious Stockholm School of Economics (SSE), which looks ahead at the likely impact of artificial intelligence (AI), machine learning and robotics on people's lives, should calm the nerves of economic planners and private citizens. You forgot to provide an Email Address. This email address doesn't appear to be valid. This email address is already registered. You have exceeded the maximum character limit.