Video: AI & Machine Learning in Asia: A SmartStream Perspective

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Artificial intelligence and machine learning (AI/ML) are being rapidly adopted in the financial services industry for a range of applications, from optimising workflows to processing the large amounts of data required for fraud detection, reconciliation, and cash and liquidity management. Regulation Asia Co-founder and CEO Brad Maclean sat down with Andreas Burner, Chief Innovation Officer at SmartStream Technologies, to understand the different approaches to adopting AI/ML tools, and how centralising data is key to generating analytics and predictions.


PhD studentships - Centre for Doctoral Training in the Application of Artificial Intelligence to the study of Environmental Risks (AI4ER) - Job Opportunities - University of Cambridge

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The UKRI Centre for Doctoral Training (CDT) in the'Application of Artificial Intelligence to the study of Environmental Risks' (AI4ER) will, through several multi-disciplinary cohorts, train researchers uniquely equipped to develop and apply leading edge computational approaches to address critical global environmental challenges by exploiting vast, diverse and often currently untapped environmental data sets. Embedded in the outstanding research environments of the University of Cambridge and the British Antarctic Survey (BAS), the AI4ER CDT will address problems that are relevant to building resilience to environmental hazards and managing environmental change. The primary application areas will be: a) Weather, Climate and Air Quality, b) Natural Hazards, c) Natural Resources (food, water & resource security and biodiversity). The AI4ER CDT is offering at least 10 fully-funded PhD studentships to start in October 2020. Students in the CDT cohorts engage in a one-year Master of Research (MRes) course with a taught component and a major research element, followed by a three-year PhD research project.


Swiss platform allows users to gain insights, build AI and ML algorithms

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Picterra, a Swiss AI-based SaaS platform allows users to interactively create a personalized AI detecting, localizing and counting any objects from satellite and aerial imagery. The company aims to democratize geospatial mapping, and its platform bridges the gap between Earth Observation (EO) imagery, cloud processing and geospatial insights by commoditizing Machine Learning technology. From precision agriculture to utilities and infrastructure, Picterra serves a wide variety of clients and provides customized services. Its main partners are geospatial and UAV mapping professionals looking to derive insights and actionable information for specific verticals based off large or heavy EO imagery set. The Picterra platform allows users to seamlessly integrate cutting edge machine learning technology into their existing workflow, so they can focus on their core business while achieving quick return on investment.



WalkMe secured $90 Million for Digital Adoption Platform Growth

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WalkMe, a CA-based digital adoption platform, secured $90 million in the funding round. Vitruvian Partners led the latest funding round while Insight Partners also noted their participation. Founded in 2011, CA-based, WalkMe offers a digital adoption platform. The platform is powered by Machine Learning, Artificial Intelligence, automation, and analytics capabilities. To date, the company has raised a total of $307.9


Manufacturing industry turning to robotics and AI in challenging economic landscape, says Deloitte

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The manufacturing industry is turning to robotics and artificial intelligence as well as a range of other strategies to navigate an increasingly challenging economic landscape, according to a report by Deloitte. The management consultancy says that, as the risk of a global economic downturn grows, the industrial manufacturing industry faces a challenging landscape in 2020 replete with trade tensions, muted job growth, supply chain volatility and an ongoing skilled talent shortage. Yet, despite these headwinds, industry leaders are rapidly developing coping strategies – not only to weather the brewing storm, but to thrive in spite of it. Paul Wellener, US industrial products and construction practice leader, shares his insights into these and other topics in his 2020 Manufacturing Industry Outlook. One of the key findings of the report is the way the current business climate is driving manufacturing, with companies entering partnerships with companies that offer complementary technologies in order to build "digital muscle".


The Top 100 AI Startups Of 2019: Where Are They Now? - CB Insights Research

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In February 2019, CB Insights announced our third annual AI 100 -- a list of the 100 most promising AI startups across the globe. We take a look at where these companies are now. In 2019, companies from 3 continents and 18 industries made it to the CB Insights AI 100. They were selected from a pool of 3K companies based on a range of criteria, including patent activity, investor profile, news sentiment analysis, market potential, partnerships, competitive landscape, team strength, tech novelty, and more. Since announcing our list, 7 of these startups have been snapped up by major corporations, 4 went on to become unicorns, and several have entered into partnerships with corporations like Microsoft, Oracle, HSBC, and General Electric.


Meet the Mormon Gamer Who Took Dungeons & Dragons Online

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In late November, a college senior at Brigham Young University named Nick Walton published a short fable called "My Musical Troupe of Orcs Uses Music to Advance Orc Rights." In the story, written in the second person, you are a goblin. "I am a goblin!" you say proudly. "And I'm glad to be one." "Well then, congratulations," says the orc captain.


Copyright, Trademark, and Artificial Intelligence

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Back in August 2019, the USPTO published a notice requesting public input on the interplay between patent law and artificial intelligence (AI). In October, the USPTO expanded its notice to extend the inquiry to include copyright, trademark, and other IP rights. The PTO has now extended that deadline for comments until January 10, 2020. For example, should it be sufficient if a person (i) designed the AI algorithm or process that created the work; (ii) contributed to the design of the algorithm or process; (iii) chose data used by the algorithm for training or otherwise; (iv) caused the AI algorithm or process to be used to yield the work; or (v) engaged in some specific combination of the foregoing Start Printed Page 58142activities? Are there other contributions a person could make in a potentially copyrightable AI-generated work in order to be considered an "author"?


Copyright, Trademark, and Artificial Intelligence

#artificialintelligence

Back in August 2019, the USPTO published a notice requesting public input on the interplay between patent law and artificial intelligence (AI). In October, the USPTO expanded its notice to extend the inquiry to include copyright, trademark, and other IP rights. The PTO has now extended that deadline for comments until January 10, 2020. For example, should it be sufficient if a person (i) designed the AI algorithm or process that created the work; (ii) contributed to the design of the algorithm or process; (iii) chose data used by the algorithm for training or otherwise; (iv) caused the AI algorithm or process to be used to yield the work; or (v) engaged in some specific combination of the foregoing Start Printed Page 58142activities? Are there other contributions a person could make in a potentially copyrightable AI-generated work in order to be considered an "author"?