Big Data Analytics Solutions | Financial Services in India |Decimal Point Analysis
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Finance

AI to Provide Smart Banking Solutions

India’s leading RegTech startup, Signzy has partnered with globally leading Blockchain startup, Primechain Technologies, to co-develop AI-led smart banking solutions for banks and financial institutions. The smart banking solution will integrate AI and Blockchain technologies to automate and fully-digitize back-office operations, widely considered to be the most complicated process for banks to manage and digitize. It will allow banks to achieve unprecedented efficiencies in operations and simultaneously deliver a superior customer experience across a range of products: loans, insurance and retail banking services. Read More

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Healthcare

AI Can Predict Cardiovascular Problems by Eye Scan

Google AI can successfully predict cardiovascular (CV) problems such as heart attacks and strokes simply from images of the retina, with no blood draws or other tests necessary. Using deep learning algorithms trained on data from patients, researchers were able to predict CV risk factors from retinal images with surprisingly high accuracy. In addition to predicting the various risk factors – age, gender, smoking, blood pressure, etc. – from retinal images, Google AI's algorithm was fairly accurate at predicting the risk of a CV event directly. Read More

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Healthcare

AI to Tackle Dementia in Ultra-early Stages

Cognetivity Neurosciences, an Oxford University spin-out based in London, has developed an AI powered test designed to detect cognitive decline in its ultra-early stages – potentially detecting diseases like dementia up to 15 years before a formal diagnosis. The five-minute iPad test, which is currently undergoing clinical validation trials at eight NHS trusts, is designed to be administered as part of a patient’s annual health check-up. Read More

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Acoustics

AI Technology to Help Detect Submarines in Uncharted Waters

Scientists from China and the US have developed a new AI-based system that will make it easier to detect submarines in uncharted waters. The researchers created a simulator to generate a wide range of virtual environments from which the algorithm was able to learn. Once it had assimilated that information, the simulator was able to analyse real-life data taken from the world’s oceans and seas. The researchers said the new technology should allow them to track any sound-emitting source – be it a nuclear submarine, a whale or even an emergency beeper from a crashed aircraft – using a simple listening device mounted on a buoy, underwater drone or ship. Read More

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Traffic Management

AI Parking Rangers Are Being Used to Prevent Traffic Chaos

Autonomous robots have been taught to analyse historical traffic data and then learn how to identify when a car is causing a problem. The system would use machine learning -- "specifically supervised learning”, to learn the patterns from historical data and then apply those to traffic in the future. For instance, after analysing the traffic, the system would contact the NSW Transport Management Centre, asking for a tow-truck to be dispatched to remove a parked or broken-down car causing a hold-up. Read More

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Renewable Energy

AI Technology Helps to Detect Faults on Wind Turbines

An AI engine has been developed to automatically detect rotor blade damages on wind turbines and aims to improve the productivity and consistency of blade inspection processes by recognizing damages based on inspection image material. The autonomously flying drones of the 3DX Inspection Platform of Swiss company, Sulzer Schmid assures high-definition quality and consistent image acquisition time, as well as 100% blade coverage. With the support of an AI-enabled inspection software, the review work of blade experts will be greatly simplified. Instead of having to review the entire surface of the blades, they will simply need to focus on the pre-selected areas of concern. Read More

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Miscellaneous

New AI Baby Monitor to Alert Parents Before Infant Awake

Google is considering a technology that could use AI to inform parents before their little one has even woken up. The device would aim to determine when the baby is "in a non-auditory discomfort state" and inform caregivers up to 10 minutes ahead of them waking. An eye-tracking technology would detect when a baby is awake, asleep or close to stirring. Using video streaming, audio recordings and AI, the device would monitor the baby's behavior against a database of normal patterns. Read More

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