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Finance

AI to Tackle LIBOR Benchmarking

Synechron has launched a new data science accelerator for LIBOR Impact Analysis. This enables financial institutions to identify and quantify their LIBOR exposure at either a contract level or across all contracts within an institution. This latest addition to Synechron’s existing AI Data Science accelerator program will help financial service firms solve complex benchmarking challenges approaching the 2021 LIBOR phase-out deadline as well as to tap into a robust digital and data science toolkit to help drive larger, global enterprise transformation initiatives. Read More

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Banking

An AI-Powered Personalised Banking App

The Commonwealth Bank of Australia has introduced an update to its banking app. The new AI version of the app offers greater personalisation, tailored specifically to the individual needs of each customer, with personal cash flow management and smart alerts. AI has helped make the app simple, smart, and secure. The app will notify a customer when a direct debit or subscription payment increases, or if a bill has been paid twice. It can also provide advice on what to do with a tax return. Read More

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Healthcare

An AI that Predicts Serious Kidney Injury

DeepMind, Google’s AI unit, has created a deep-learning system that analyzes health records, including information such as vital signs and blood test results and then predicts the chance of acute kidney injury (AKI). The system was able to predict 55.8% of cases up to 48 hours before they occurred. For more severe kidney injuries, such as those that would require dialysis at a later stage, the accuracy was closer to 90%. DeepMind plans to incorporate the algorithm into its Streams app, which helps doctors at London’s Royal Free Hospital to identify patients at risk of developing AKI. Read More

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Healthcare

AI To Help Detect Autism Early

A study published in the journal 'Proceedings of the National Academy of Sciences' unveiled a machine-learning algorithm that can spot abnormalities in pupil dilation that are predictive of autism spectrum disorder (ASD) in mouse models. It further showed that the algorithm can accurately detect if a girl has Rett syndrome, a genetic disorder that impairs cognitive, sensory, motor, and autonomic function starting at 6 to 18 months of age, as well as autism-like behaviours. Researchers hope this system could provide an early warning signal not just for Rett syndrome but for ASD in general. Read More

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Neuroscience

AI To Decode Epileptic Brains

A team of interdisciplinary researchers conducted a study on epileptic brains, to identify the onset of seizure in such patients. With the help of machine learning models and AI, researchers were able to detect and reveal the hidden patterns. Researchers used a tool called Support Vector Machine to deal with the complex and non-linear data obtained from the scans. By using another algorithm called Elastic-net-based ranking, the relevant features of the neuroimaging data were extracted. The signals were integrated to reveal the patterns. Read More

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Cyber Security

AI to Help Track Down Phishing URLs

Researchers at JPMorgan Chase have developed what they call a novel "early warning" security system that uses AI to detect malware, Trojans and other advanced persistent threats from internal and external sources, through the lifecycle of the banking botnets, even ahead of the actual spear-phishing campaign. The AI system uses a combination of big data and deep learning algorithms for early-stage detection of phishing email and other malicious payloads that target bank employees. In addition, the system is also equipped to provide real-time feedback on new domains registrations and activities. Read More

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Miscellaneous

Look Ma, No Hands! Introducing an AI-Powered Self-Learning Bicycle

Researchers from China’s Tsinghua University have unveiled an autonomous bicycle which combines brain-inspired and computer science-based approaches to AI. The two approaches have been included in a single computer chip that combines a neural network with a traditional microprocessor. At this stage, it allows the bicycle to respond to voice commands, keep out of trouble and detect and follow a person. Experts say that the technology could one day power smart vehicles, delivery drones and robots. Read More

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