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Finance

Morgan Stanley to Use AI to Manage Clients’ Money

Morgan Stanley has launched a new technology called “Next Best Action” to 15000+ of its financial advisors, enabling them to use AI in order to keep their clients abreast with their portfolio performances. The AI algorithm evaluates the emails, texts and other notes communications with clients. The ML algorithm then figures out other investment ideas that can be suggested to them. The algorithm also uses data mining and natural-language processing to handle human communications effectively. For clients, this increases possibility of getting immediate response via mobile apps or voice for requests like rebalance of portfolio or selling a stock. Read More

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Information Technology

Heathrow Airport to Use Machine Learning to Predict Passenger Volume

Frontline staff of Heathrow airport has turned to ML models along with analytics tools from Microsoft, PowerBI to better predict passenger flows. This will help them to improve operations and make passenger journeys smoother. This is a shift from paper-based ‘reactive model’ to algorithmic ‘predictive model’ on footfall of 200000+ per day. They will deploy Azure cloud services, including Data Lake Analytics, Stream Analytics, and Azure SQL Database to extract, clean, and prepare real-time data. Information on flight movement, passenger transfers, security queues, and immigration queues will be provided. Read More

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Health Care

Google’s AI Algorithm LYNA Detects Cancer with 99% Accuracy

Google has developed a deep machine-learning AI algorithm, Lymph Node Assistant or “LYNA”, which is capable of detecting metastatic breast cancer. Additionally, it can also highlight the location of cancerous cell formations and other “suspicious regions within Lymph nodes” in a patient’s body. As a part of ‘human-in-the-loop automation’, the algorithm will assist human practitioners to improve the results. Algorithm will make a first pass at screening samples and flagging possible positives before sending it for human review. Read More

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Human Trafficking

ML Powered Algorithm to Stop Human Trafficking

IBM, Western Union and European police have together launched a project in which the financial data will be shared in order to be able to predict human trafficking before it occurs. Shared data will have information on money transfers across the globe. The algorithm will compare it to known ways of traffickers to launder money. It will highlight red flags wherever the match is significant. IBM will be providing its cloud service, its proprietary AI and ML technologies in order to get predictions on matching trends. British banks such as Barclays and Lloyds have agreed to provide their cooperation for the same. Read More

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Research

Robot Teaches Itself to Dress Hospital Patients

University Associated: Georgia Institute of Technology
Researchers at Georgia Institute of Technology made PR2, the new machine, run around 11000 simulated examples of a robot putting a gown onto a human arm. From these runs, PR2’s neural network learned to estimate the forces applied to the human body while putting cloth on. It also learned to predict the consequences of moving the gown in different ways. Using these predictions, the robot learnt how to select motions that comfortably dress the arm. It uses sense of touch, instead of vision to perform the task. Currently, it is able to put gown on one arm in 10 seconds. The team is hopeful of developing the fully capacitated algorithm in near future. Read More

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Sports/Miscellaneous

Digital Players Teach Themselves to Dribble Basketball

Carnegie Mellon University’s researchers have developed a physics-based, real-time algorithm to control animated characters that learn basketball dribbling skills from experience. The system learns by reading motion captures of the movements that people make during basketballs dribbles. Deep Reinforcement Learning is used to enable the model to pick up details of movement. The algorithm learned skills in two stages—it mastered locomotion first and then learned to control arms, hands and the motion of the ball. Once improvised, the technology will be applied to create more interactive characters for gaming, animation, motion analysis, and in the future, robotics. Read More

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Miscellaneous

AI Creates an Independent Self-Portrait

IBM researchers have developed an algorithm for the New York Times, that can create a portrait, independently, by reading articles and extracting context from them. The algorithm was made to read around 3000 articles about AI. It then extracted 30 concepts like robot, self-driving, and computing etc. The generative adversarial network, or GAN, was trained on more than 1000 existing images before creating its own. The algorithm was also able to understand newspaper’s style and applied the same theme to the AI generated image. Read More

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Astrophysics

ML Algorithm to Speed Up Astronomical Data Analysis

Astrophysicists at Oxford University were reviewing seven years’ worth of photographs of galaxies from Sloan Digital Sky Survey. Now they are making use of AI to study images. It will perform combination of tasks like classification, image cleaning, schedules for telescopes and running simulations faster. The team uses tools called generative adversarial networks, or GAN, to recover clean versions of images that have been degraded by random noise. There are only limited hours in a night when observations can be made. ML algorithms can also help observatories schedule telescopes, so they can collect data as efficiently as possible. Reinforced learning mechanisms are used to train the algorithm for this task. 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

Microsoft to Release Programming Language for Quantum Computing

Microsoft has released a programming language for quantum computers and is committed to provide it to new developers in order to take the development of the language ahead. The new language is released and is integrated with Visual Studio programming software. It will also allow developers to seek debugging support and be able to use simulators to run on local machines or the Microsoft Azure cloud platform. In comparison with traditional computer processing, Quantum computing uses atoms and molecules for processing and memory. Read More

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Quantum Computing

Melbourne University Launches Quantum Simulator and Environment QUI

University of Melbourne has launched an online quantum computer simulator and programming environment for students and industry. It names as Quantum User Interface (QUI). It is a web based program that lets users click and drag ‘logical elements’ that operate on quantum bits, known as qubits, to create a quantum program on their own. Cluster of computers then run that program on simulated quantum computer before sending back the results. University plans to make it publicly available based on demand and its’ own server capabilities. Read More

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