Article #5 Altair Startup Series. How startups can accelerate growth and effectively use artificial intelligence for quality assurance, data analytics, and other critical engineering tasks.
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artificial intelligence
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Deep-learning algorithms are enabling powerful video analytics. A practical use in manufacturing is monitoring human actions in manual operations. Some assemblies require specific torquing sequences, which can't always be tracked with traditional methods. AI-based Computer Vision advances quality management.
3 minutes read
Artificial intelligence (AI) is showing significant promise in medical imaging. To translate this promise to reality requires rigorous evaluation of these algorithms.
Interdisciplinary team tackles complexity of clinical data in perioperative care
Resilient robot teams juggle competing priorities without deadlock
3 minutes read
For now, at least, machines need humans as much as humans need machines. At this intersection, machine learning (ML) offers intriguing possibilities for managing the billions of end devices that comprise the IoT. ML is a practical, mathematical field.
3 minutes read
UTEP 2022 ends with 12 submissions in the final month. The recent articles covered different areas of technology like smart farming, AI, 3D printing, wind energy, structural engineering, biotechnology, and more. As we eagerly wait for the results, here is an article summarizing the new submissions.
In a highly competitive environment, retailers are leveraging cutting-edge technologies to boost efficiency and run their businesses more effectively. AI-powered robots are transforming the retail sector by optimizing pricing strategies, inventory management, and more.
4 minutes read
Before the pandemic, research suggested that adoption of AI (artificial intelligence) and ML (machine learning) in business was increasing at a rate of about 25% per year.
The student article explains an artificial intelligence-based system to detect human body patterns and movements for multiple targets in real-time to recognize their behaviors and classify them as either normal or abnormal.
New research from Carnegie Mellon University’s Bin He introduces a novel, AI-based dynamic brain imaging technology alternative which could map out rapidly changing electrical activity in the brain with high speed, high resolution, and low cost.
3 minutes read
Startups are pioneering a new era of drug discovery that’s cheaper, faster, and more accurate.
This video shows how the ML-trained MEMS-IMU performs in the INS mechanization compared to the same MEMS IMU but without using the ML
This student article proposed a Facial Expression Generation method for Meta-Humans (FExGAN-Meta) that deals with the challenge of robustly classifying and generating images of facial expressions while maintaining subtleness and intensity.
This student article proposes rapid protocols for clinical diagnosis of COVID-19 through the automatic analysis of hematological parameters using Evolutionary Computing and Machine Learning. These hematological parameters are obtained from blood tests common in clinical practice.
