ABNN Target Recognition
Researchers in the United States and China published “The Journal of the Acoustical Society of America”, an attention-based deep neural network (ABNN) to improve underwater acoustics in sonar systems. The study employs single-target data to detect multiple targets and noise interferences of submarines and ships in restricted waters. The research found high accuracy in target recognition using ABNN as compared to conventional deep neural networks. (“Attention-Based Deep Neural Network Increases Detection Capability in Sonar Systems” – AIP Publishing)
Social Robots
MIT researchers developed a simulated environment using machine-learning where robots can pursue social interactions while moving in a two-dimensional grid. A robot can watch its fellow robot, guess the tasks it is trying to do, then act based on the estimation, and help or hinder the robot based on its goals. The algorithm works on a reward system in which a robot is rewarded for each action it decides to accomplish. (“Giving robots social skills” – MIT NEWS)AI-Based Cancer Detection
A researcher at Tulane University found that AI has the capability to detect and diagnose colorectal cancer more accurate and better than pathologists. A computer based pathological recognition program was developed using over 13,000 histopathology images and 8,803 subjects of colorectal cancer. It allows the computer to analyze images and diagnose cancer with a 0.98 accuracy rate. The study can help avoid unintended misdiagnosis due to the rising demand for pathologists (“Tulane University study uses artificial intelligence to detect colorectal cancer” – Tulane News)Content-Based Decision Making
Netflix collects huge amounts of data on a daily basis that is meaningfully deployed to improve user experience. Other than recommendation algorithms, Netflix uses an AI/ML system that employs historical data to ensure the best possible customer engagement, better streaming quality, and effective decision making. Its strong customer retention is due to the adoption of technological solutions and they continue to invest in it. (“Netflix: Optimizing the user experience and investment decisions using Machine Learning” – Digital Initiative)
AI Forecasts Climate Change
Researchers at the University of Waterloo developed a deep learning algorithm that acts as an early warning system against climate change tipping points. The system predicts the current state of tipping points and the ones that lie beyoznd them so undesirable tipping points can be prevented if possible. This hybridized approach towards AI and mathematical theories identifies different characteristics of tipping points. (“Artificial intelligence may be set to reveal climate-change tipping points” – University of Waterloo)
