Image 31 December 2018
Image
Image
 
Image

Infrastructure

AI-Powered Robot to Check for Faults in Trains

Jiahua Xu and To make trains safer by eliminating human errors, India’s Central Railway has developed an AI-powered robot which would click pictures and record videos of the under-gears of trains and send them to engineers for repairs and maintenance. The mechanical branch of Central Railway’s Nagpur division has developed the robot named USTAAD (Undergear Surveillance Through Artificial Intelligence Assisted Droid), which examines parts of the coach in real time with an HD camera and transmits them over Wi-Fi. With the help of USTAAD, engineers can easily see and examine areas which are hard to see and hard to approach such as cramped or narrow spaces between under-gear parts. The Indian Railways is now considering using USTAAD across zones, once tested minutely. Read More

Image
Image

Healthcare

IBM Researchers Develop Fingernail Sensor that Uses AI to Monitor Health

IBM researchers have developed a first-of-a-kind “fingernail sensor” prototype that uses Artificial Intelligence (AI) and machine learning to monitor and analyse human health as well as disease progression. The wearable, wireless device continuously measures how a person’s fingernail bends and moves, which is a key indicator of grip strength. This new system uses signals from the fingernail bends such as the tactile sensing of pressure, temperature and surface textures. The new device, reported in the journal Scientific Reports, consists of strain gauges attached to the fingernail and a small computer that samples strain values, collects accelerometer data and communicates with a smart watch. The watch also runs machine learning models to rate bradykinesia, tremor, and dyskinesia which are all symptoms of Parkinson’s disease. Read More

Image
Image

Telecommunications

Artificial Intelligence Can Detect Age, Gender of People on Videos

Scientists have developed an AI system that can identify people on video, detecting their age and gender more quickly and accurately. The development has already become the basis for offline detection systems in Android mobile apps, according to researchers from Higher School of Economics in Russia. Modern neural networks detect gender on videos with a 90.0% accuracy. The situation with age prediction is much more complicated. Researchers found a way to optimise neural networks’ operations. They implemented a novel method to aggregate confidence levels produced by the neural network for each frame. According to researchers, this solution will work even on low-performance smartphones. Read More

Image
Image

Aviation

KAC Develops AI-based Aviation Security Screening System

Korea Airports Corp. (KAC) announced that it has developed an automatic reading solution for X-ray security check, which integrates AI-based deep learning technology into airport security check. The X-ray security check automatic reading solution is a futuristic aviation security service that can automatically read, detect, and classify aircraft-prohibited items by applying accumulated big data and AI in passenger's baggage screening process. It is anticipated that the airport security will be further strengthened by minimising the errors made by security check personnel through AI’s reliable performance in detection of goods prohibited in the cabin. Since November last year, KAC has been cooperating with SUALAB, a domestic AI specialist company, to develop this new technology. In the future, it plans to carry out on-site trials at Gimpo international airport to commercialize it in Korea and advance into overseas airport business. Read More

Image
Image

Miscellaneous

Indian Parliament to Use AI to Streamline Operations

India’s Lok Sabha, Rajya Sabha and state legislatures will use machine learning and AI to streamline operations and discharge their legislative obligations more efficiently. Under the phase II of National E-Vidhan project, 42 legislative bodies of the country with a combined membership of over 5,300 will use ‘cooked information’, a term for the processed information to be used in machine learning and artificial intelligence to overhaul the handling of information. Ministry of Parliamentary Affairs have embarked on an ambitious project called NeVA (National E-Vidhan) to help legislative bodies go paperless in their functioning. National E-Vidhan System will use these cutting-edge technologies like artificial intelligence and machine learning only in the second phase once the roll out for the first phase is complete across the country. The government hopes to start using these technologies in the NeVA system within a year. Read More

Image
Image

Healthcare

A Deep Learning Tool to Produce Diagnostic Scores for Common Sleep Disorders

Common sleep disorders including sleep apnea, insomnia, and restless legs syndrome affect millions of adults. Timely identification of these disorders is critical so that patients can pursue appropriate treatment. While technological advancements have increased access to sleep diagnostics, both at-home and in-lab polysomnography (PSG) still require manual scoring, which is time consuming and demands the attention of a highly skilled clinician. To automate the sleep scoring process, a deep learning model was developed and tested on data from the Massachusetts General Hospital (MGH) sleep laboratory. The deep learning model was trained to assign each 30-second PSG to one of five sleep stages: awake, rapid eye movement (REM), sleep, and non-REM stages. The researchers found that the model achieved an overall accuracy of 87.5% for sleep staging, which compares favorably to human performance. Additionally, the deep learning model outperformed an existing machine learning method for sleep staging, which demonstrated an accuracy of 69.34%. These findings demonstrate the potential for deep learning technology to automate the sleep scoring process, improve sleep disorder diagnosis, and even increase patient care access. Read More

Image
Image

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.

India :

5A, B-Wing, Trade Star Building, J. B. Nagar, Andheri-Kurla Road, Andheri (East), Mumbai - 400 059, Maharashtra, India
+91 22 30015200
info@decimalpointanalytics.com

United Kingdom:

1st Floor, 99, Bishopsgate, London, EC2M 3XD, United Kingdom

+ 44 20 3286 1998
info@decimalpointanalytics.com

USA:

17 State Street, Suite 4000, New York, NY 10004 U.S.A

+1 (917) 341 3218
info@decimalpointanalytics.com

www.decimalpointanalytics.com