Technology

Aggressive Driving

A team of researchers at the Georgia Institute of Technology has proposed an innovative framework for aggressive driving using wheel speed sensors, IMU sensors, and a monocular camera. According to the researchers, it is a combination of deep-learning based road detection, model predictive control (MPC), and particle filters, and has been detailed in a paper appearing on arXiv. As it has become essential to understand the extremity of autonomous driving, the

AI System

As an advancements in a type of technology called ‘Computer Vision’, engineers at University of California and Stanford University have recently demonstrated a AI system with an ability to find and identify real-world objects it sees, mimicking the same method that humans use for visual learning. Computer vision allows computers to read and identify visual objects, while the new system could be a step closer to artificial intelligence systems –

Self-driving Car Testing

Uber Technologies Inc. received a green light from Pennsylvania officials this week to resume its self-driving car testing on public roads. Nine months ago, the program was suspended, following an accident which killed a pedestrian in Tempe, Arizona. An Uber spokeswoman said on Tuesday it had not restarted the self-driving car testing. According to The Information, Pennsylvania’s Department of Transportation (PennDOT) approved Uber’s request –made last month – to begin

Shrink Objects

A group of researchers at the Massachusetts Institute of Technology (MIT) has devised a method to shrink objects to nanoscale, smaller than what is visible under a microscope, using a laser. It can also be used to pattern the objects with a range of useful materials such as metals, DNA, and quantum dots. MIT’s cutting-edge technology called ‘Implosion Fabrication’ could be applied to a variety of tasks from making cell

Memory

With increasing number of smart objects ranging from watches to an entire building, there has been a greater need for these devices to store and recover enormous amounts of data at faster rate without consuming excessive power. Owing to discovery of previously ignored functionality in a material known as molybdenum ditelluride, numerous new memory cells could become a part of computer chip that offer speed as well as energy savings.

Tiny Solar Cells

Clothing embedded with flea-sized solar cells will enable wearers to generate electricity while moving and charge devices such as mobile phones and smartwatches, according to researchers at Nottingham Trent University. The research team have developed a way to embed tiny solar cells (3mm long and 1.5mm wide) into yarn than can be woven and knitted into textiles. The cells are enclosed in resin, allowing the garments to be worn and

Intelligent Machines

In an approach to improve quality of the interaction and teamwork between humans and machines, researchers recently developed new ‘classification models’ that sense the level of trust humans have on intelligent machines they associate with. It has been a long-term goal for researchers to develop intelligent machines that can make changes in their behavior to better human trust in them. A team of researchers in School of Mechanical Engineering at

Facebook Pages

With growing number of malicious users creating deceptive pages on Facebook, researchers worldwide have been trying to prevent deception on Facebook and other social media platforms. In a new study, a researcher at Mahasarakham University, in Thailand explored the use of supervised machine learning in identifying the reliability or unreliability of Facebook Pages. The paper – featured in Springer’s Artificial Life and Robotics journal – aims to detect and investigate

Depression

In a new study, a group of researchers at Stanford have explored the use of machine learning to measure the severity of symptoms leading to depression by analyzing people’s 3D facial expressions and spoken language. The multi-modal method achieved promising results with 83.3% and 82.6% of sensitivity and specificity respectively. Findings of the study are detailed in a paper pre-published on ‘arXiv’. Currently, with increasing number of people worldwide who

Planetary Base Station

A team of engineers at TRACLabs Inc. in the United States is all set to create ‘Hal 9000-inspired’ monitoring system for planetary base station. Pete Bonasso, primary engineer working on the project, said that he had interest in creating real Hal 9000 – the notorious AI system in the movie 2001: A Space Odyssey – without the human killing, of course. The new AI System for Controlling Planetary Base Station