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Image 25 March 2019
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Banking

Bank in Trouble! Don’t Worry…AI’s Got This Covered!

Doing business with the wrong kind of client can be extremely costly for banks. Silent Eight, a Singapore-based startup and a brainchild of Martin Markiewicz thinks AI could help financial companies avoid that kind of trouble. The company’s technology uses AI and ML to identify and halt illegal transactions before they happen. Markiewicz claims that AI is better than the methods banks currently use. They often rely on staff manually checking lists of individuals and companies facing sanctions or under criminal investigation. Global banks look at millions of suspicious transactions every year, so it's a very inefficient way of keeping the bad guys out of the financial system. With AI, it can be done much faster and there will be no human error. Silent Eight's software hunts for transactions like a blacklisted North Korean government official trying to open an account or a company with ties to the Iranian government trying to take out a loan. Silent Eight's system works by collecting and analysing data from thousands of documents and other sources, getting smarter and more effective as it does so. The firm counts Standard Chartered and Oversea-Chinese Banking Corporation as its clients. Read More

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Technology

AI-enabled App Describes Objects to Blind People

An estimated 1.3 billion people across the globe live with some sort of vision impairment, and of those, 36 million are blind. Now, Google has released an AI-powered app designed to serve as a helpful pair of “eyes” for those people, providing them with a level of independence they may have previously lacked. Google named the app Lookout and the way it works is simple. The individual just needs to open the app on one’s phone and listen, while Lookout audibly describes whatever the phone’s camera is pointed at. The app features three modes designed for specific situations. Explore mode is useful for navigating a new setting. Shopping mode is useful for scanning barcodes or reading currency and then there is the Quick Read mode, which reads out anything from a sign in a grocery store to a piece of mail. The app currently speaks only English and is available solely for US owners of pixel devices. However, Google plans to expand into more languages, locations, and devices. Read More

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Defence

A Game Changer Indeed! Now AI to Fly Fighter Jets!

The US Air Force recently announced a new AI program that it’s calling “Skyborg,” which military leaders hope will be able to autonomously fly drones and fighter jets in the coming years. The Air Force expects drone flights in 2021 and fighter plane flights in 2023. Skyborg’s AI could help human pilots manage the overwhelming nature of aerial combat and complex plane controls during missions by helping make sense of everything happening around the pilot and quickly recommending courses of action. The goal is to make Skyborg as feasible a project as possible. Interestingly, Skyborg won’t be the first military AI system built in the US as the Navy is already working on autonomous fighter vessels. Read More

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Healthcare

AI to Detect Heart Defects from Foetal Ultrasounds

Deep learning has the potential to help doctors cut down on diagnostic errors. An assistant professor of medicine at the University of California, San Francisco, Arnaout is focusing on the potential of AI to analyse cardiac ultrasounds and detect congenital heart disease from foetal ultrasounds. Recent work by Arnaout focused on the detection of congenital heart disease from foetal ultrasounds. While in theory more than 90 % of complex congenital heart disease cases can be diagnosed through traditional foetal screening ultrasounds, the actual detection rate is under 50%. This gap occurs in part because foetal hearts are small and fast beating. Since the foetus itself is often moving, diagnostic-quality images can be difficult to obtain. And although it’s the most common birth defect, congenital heart disease affects just one per cent of live births. Since it’s so rare, the condition can easily go overlooked by human readers. Using hundreds of foetal echocardiograms from 18 to 24 weeks of gestational age, the UCSF researchers developed convolutional neural networks to distinguish two varieties of congenital heart disease. The deep learning model, trained on NVIDIA GPUs hosted on Amazon Web Services, was able to classify the two kinds of defects at well above the average diagnostic rate. Catching heart defects early can lead to better outcomes for patients after birth. Read More

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Online Gaming

AI Cop Will Tackle Toxic Gamers

In the online gaming world, the number of unsavory folks one encounters can seem to quickly grow out of control. Most developers, of course, implement in-game reporting systems and teams of people to dole out punishments for toxicity, but now Intel is looking at ways that AI can help. During Intel’s GDC 2019 press conference, the company announced that it has partnered up with Spirit AI to explore how ML can be used to combat in-game toxicity. Spirit AI already has quite a bit of experience in this realm, as it offers a tool called Ally that uses ML and AI to identify and curb abuse in text chat. Ally potentially makes it easier for small teams of moderators to find and snuff out toxicity among large user bases communicating over text chat, but Intel apparently sees the potential for more. It wants to take the work Spirit AI has done with text chat and expand it to cover voice chat as well. Read More

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Art

An AI-powered Doodle

Google created its first ever AI powered Doodle, dedicated to celebrate the birth anniversary of renowned German musician and composer, Johann Sebastian Bach. The Doodle, developed in partnership with Magenta and PAIR teams at Google, is an interactive experience where the composer is playing an organ in celebration of his March 21, 1685 birthday under the old Julian calendar, encouraging musicians to compose their own two-measure melody. With the press of a button, the Doodle uses ML to harmonise the custom melody into Bach’s signature music style. Individuals could also explore inside the Doodle to see how the model Bach-ifys familiar tunes, or how the new collaboration might sound in a more modern rock style. To create the AI-powered Doodle, the teams first build a ML model called Coconet and then customised it to match Bach’s musical style. The team then trained Coconet on 306 of Bach’s chorale harmonisations. Further, to ensure that people around the world could use the Doodle, the teams used PAIR’s TensorFlow.js, which allows ML to happen entirely within an internet browser. Read More

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Education

AI to Keep Tabs on Class Attendance

A Chinese university in Hangzhou, capital of Zhejiang province, has rolled out a class attendance system that enables students to sign in with verification codes via their mobile phones and issue auto-reminders to those who fail to show up on time, along with a warning about the risks of skipping class. Those who miss class receive the following message: “Hello, this is little AI, an intelligent voice assistant from the counsellors of Hangzhou Dianzi University. I notice you were absent from class today.” Any response from the student will be recorded and transcribed, for use by staff in a follow-up meeting with the student concerned. Earlier it would take teachers 7 to 8 minutes to make a roll-call, now it takes just 15 seconds. The university counts tracking absent students as only part of the aim – the main goal is to find the deeper reasons behind why students miss class and categorise them accordingly to build a database. University staff will also be on hand to follow up with students in person about absenteeism. Read More

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Online Gaming

AI to Build the Future of E-sports Casting

From The Masters to the US Open, IBM has been consistent in its involvement in real-world sports. Now, IBM is presenting its AI-driven vision for the future of e-sports shoutcasting. It’s showing how its AI system Watson can be used to improve player performance in e-sports, and to create a better fan experience overall — what IBM describes as “sticky” experiences. IBM developers and open source experts are also developing ways to help gaming event promoters lure fans using enhanced video, and feeding important information to live commentators and the IBM Cloud is increasing global scale for developers and publishers. The company is doing this by leveraging the same technology as that used during the US Open. Watson scans through hundreds of hours of game footage and builds a dynamic highlight reel with AI in real time. E-sports shoutcasters are fed this AI-curated data to tablets during the broadcast, to help keep on-air conversation lively and relevant. Read More

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Decimal Point Analytics Pvt Ltd does not make any recommendation, solicitation, or offer for any securities and is not responsible for suitability of any securities for any purpose, investment or otherwise. It is the sole responsibility of the client, as a professional organization, to exercise professional due diligence in ensuring suitability of investment and ensuring that when the client publishes a part or full report under its own brand, the legal requirements for distribution of such material are complied with in all the jurisdiction in which it is published. Decimal Point Analytics Pvt. Ltd. shall not be responsible for any loss suffered by the user. The returns indicated, including future projections, in any investment report prepared by Decimal Point Analytics Pvt Ltd are not guaranteed in any manner and may not be achieved.

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