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Banking

ML Algorithms to Automate Bank’s Compliance Checks

The German lender, Commerzbank has decided to deploy ML algorithms to automate pre-compliance checks for traditionally paper-based trade finance transactions. The bank is targeting to automate around 80% of selected compliance checks of bank’s trade finance processes by 2020. The algorithm uses optical character recognition (OCR) and progressive machine learning to extract data from physical documents. It then recognizes patterns and flag deviations based on its learning. The technology uses application programming interfaces (APIs) to connect to Commerzbank’s existing trade finance processing infrastructure and creates a detailed audit trail for regulatory reporting. Read More

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Real Estate

AI Powered Assistance to Customers for Shifting Houses

Yembo, a tech startup, has created an algorithm to make moving to a new home cheaper and less stressful for its customers. Usual pain points of customers are that the price customers pay is rarely the price they were first quoted. Yembo’s algorithm makes the quote process simpler. Customers use their phone’s camera to scan each room of a house. The AI powered algorithm then identify items in the room and creates an inventory list with details like furniture dimensions and weight. This information is then sent to the moving company. In return, customers get a much more realistic quote. The average time is around 9 minutes for data collection. Read More

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Information Technology

Nokia’s ML Solution Helps Enterprise Improve Network Efficiency and Customer Experience

Nokia’s spectral performance management technology provides an automated analytics solution to Hutchison 3 Indonesia to improve their resource utilization. Nokia AVA's cloud-based analytics generates automated recommendations that improve spectral efficiency and also help prioritize investment. It collects and store data from sources like Minimization of Drive Test (MDT). The ML algorithms analyze the data and identify patterns of usage and network behavior. It then provides granular, sub-cell level recommendations about subscriber density, application throughput and radio signal performance. This helps them predict future demands from subscribers. Read More

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Sports

Chelsea FC to Use AI to Smart Coach its Players

Chelsea FC is in process of developing AI algorithms which will be used by them to smart coach their players. Researchers are developing models by feeding in data from several championship seasons. The developed model will provide recommendations on different positions of players on the field. It will also analyze each individual player to obtain detailed analysis of the player. Model is being developed deploying imitation technology which will be able to analyze the performances of each player via simulations. The model will help coaches and players in analyzing their performances better and learn from their mistakes. Read More

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Research

Drone Fleets to Find Lost Hikers Without GPS

Researchers at MIT have developed a drone technology that will map forests without any use of GPS. The technology will make use of LIDAR. It is the same technology which is being used in self-driving cars. Each drone creates a 2D map, including the orientations of trees. this helps in telling where the robotic aircraft has already been as it searches through a specified area. It also merges maps from an entire drone fleet and combine large swaths of forest with minimum effort. The method preserves drone’s momentum as much as possible. The end result is a spiral pattern that covers an area faster. In future, researchers are hopeful to even share maps via object recognition. Read More

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Miscellaneous

AI algorithm mimics fly brain to recognize who’s who

Researchers at Canadian Institute for Advanced Research have built a neural network that mimics the fruit fly's visual system and can distinguish and re-identify flies. The interdisciplinary project combined expertise in fruit fly biology with ML techniques to build a biologically-based algorithm that churns through low-resolution videos of fruit flies. Fruit fly's visual system maps a lot like a Deep Convolutional Network (DCN). The algorithm was trained on video of a fly over two days. Consequently, the F1 score on day three was 0.75. In contrast to another easier task of matching 'mugshot' of a fly to a field of 20 others, experienced human fly biologists could manage a score of 0.08 only. Read More

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Miscellaneous

Algorithm to Match Refugees with Best Options to Resettle

Researchers at Stanford University have developed a ML algorithm that analyzes historical data on refugee resettlement in US and Switzerland. The model determined that refugees’ eventual economic self-sufficiency depends on a combination of individual education level, knowledge of English, and where they were resettled. The algorithm resulted in placements for refugees that they project would increase chances of finding employment by roughly 40-70% compared with how the refugees actually fared. The algorithm was trained on socioeconomic data from 30,000+ refugees, placed by a major resettlement agency from 2011 to 2016 in the United States. Read More

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“Quantum Computing, a revolution in technology, has shown great promise towards solving complex computing problems currently outside the capabilities of current computers. Though in its infancy, we at Decimal Point Analytics strongly believe that it is going to grow exponentially in the near future. It holds the potential not only to boost the AI revolution but also transform the way data is synthesized. The articles on Quantum computing will give an insight into the recent developments in this space.”

 
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Quantum Computing

Austrian Scientists’ Discovery Could Lead to Quantum Teleportation

Scientists from the University of Vienna and the Austrian Academy of Sciences have discovered a new system that introduces more ‘complexities” in a quantum system. Traditionally, physicists are trying to increase numbers of qubits in a quantum system. Instead, increasing complexities in the quantum system is a more efficient method that leads to quantum teleportation. In teleportation, an atom, photon or electron transmits itself from one location to another via phenomenon known as quantum entanglement.The new system entangles three photons instead of the traditional two. This was done through “Melvin”, an algorithm that autonomously searches for experimental implementation. Researchers are hopeful that the three-photon entanglement in three dimensions could create systems that allow the world to teleport more complicated groups of information. Read More

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Quantum Computing

Integrated Quantum Chip Operations now Possible

Australian research team has developed a critical combination of complex problems solving on a silicon chip. Conventionally, problems like drug design etc. requires millions of quantum bits to be connected in an integrated way. As integrated silicon qubit platform combines both, single-spin addressability and a qubit 'read-out' process. This will be vital for quantum error correction. The new integrated design can be manufactured via technology used in existing computer industry. Read More

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