Category: automation technology

Many manufacturing plants in the pharmaceutical industry are moving into the big data era

March 15, 2024

Big data has been touted to revolutionize many industries in the near future. Indeed, the era of big data has arrived in many manufacturing industries such as the petrochemical and biopharmaceutical industries. In the case of manufacturing plants of pharmaceutical industries, there is a movement towards digitisation of all manufacturing operations to help capture all … More Many manufacturing plants in the pharmaceutical industry are moving into the big data era

Artificial intelligence algorithms are able to upscale low resolution video feed into high resolution videos

January 5, 2024

Video conferencing has become an important tool for learning and conducting business meetings in the modern world. However, not all participants in the meeting are using high end computers with good graphics or video cards. Hence, how does the video conferencing software help ensure that an acceptable quality of video feed is available for all … More Artificial intelligence algorithms are able to upscale low resolution video feed into high resolution videos

Artificial intelligence algorithms are able to upscale low resolution video feed into high resolution videos

September 24, 2023

Video conferencing has become an important tool for learning and conducting business meetings in the modern world. However, not all participants in the meeting are using high end computers with good graphics or video cards. Hence, how does the video conferencing software help ensure that an acceptable quality of video feed is available for all … More Artificial intelligence algorithms are able to upscale low resolution video feed into high resolution videos

Volumetric additive manufacturing may usher in a new era in fast volume production via 3D printing

September 2, 2022

Additive manufacturing has revolutionized how we manufacture items. Originally a cottage industry used for rapid prototyping, additive manufacturing technologies have moved into production manufacturing, yielding some commercial successes. However, conventional additive manufacturing is still constrained by the layer-by-layer approach, which restricts the types of items that could be manufactured, as well as is inherently slow. … More Volumetric additive manufacturing may usher in a new era in fast volume production via 3D printing

Sensor fusion technologies are key to powering self-driving cars

January 8, 2022

Self-driving cars afford myriad applications, many of which remains hard to fathom given current regulatory environments and technologies. Many conceptualizations of self-driving cars involve the use of laser and ultrasound-based distance measurement technologies and automated computer vision navigation. Underlying all these technologies is the empowering tool of sensor fusion that aggregates and attempts to understand … More Sensor fusion technologies are key to powering self-driving cars

Metal 3D-printing is gaining in sophistication

August 22, 2020

3D-printing technologies have gained maturity and are applied in many aspects of modern manufacturing. One area that it has made less inroads is manufacturing of metal component. But, this has gradually been addressed with the advent of metal 3D-printing technologies. Typically, metal is cast as a powder on a movable bed. A heat source such … More Metal 3D-printing is gaining in sophistication

Machine learning algorithms remain poor in identifying and classifying different organelles in electron micrographs of cells

September 3, 2019

Automated identification and classification of subcellular organelles in electron micrographs of cells would provide an important tool enabling higher productivity and accuracy in interpreting such images. However, machine learning algorithms remain poor in identifying and classifying different subcellular organelles in electron micrographs of cells. For example, the cell nucleus remains a difficult challenge for classification … More Machine learning algorithms remain poor in identifying and classifying different organelles in electron micrographs of cells

Emergence of artificial intelligence that relies only on small amount of data for training

July 7, 2019

The human mind only requires small amount of data (whether audio, visual or a combination of both) for learning. Current artificial intelligence (AI) systems, however, requires large dataset for training purposes. Specifically, large dataset helps AI algorithms find patterns amongst individual data element to help develop generalizable rules useful for decision making. For example, a … More Emergence of artificial intelligence that relies only on small amount of data for training

Algorithms in self-driving cars need to be calibrated according to differing road conditions in each locality

June 4, 2019

Self-driving cars possess a multitude of sensors capable of gaining an understanding of the immediate area around the car. This helps the self-driving algorithm anticipate possible events on the road as well as in making decisions concerning speed, change of lane, and stopping. However, given that road conditions differ in each locale, the algorithms powering … More Algorithms in self-driving cars need to be calibrated according to differing road conditions in each locality

Failed experiments represent a source of training data for machine learning

April 10, 2019

Machine learning relies on training data to derive patterns useful for making predictions in test set data. Iterative in nature, training of machine learning algorithms relies on large amount of data where the larger the training set, the better would be the pattern recognition capability of the algorithm. Most training data are positive data, that … More Failed experiments represent a source of training data for machine learning