A deep dive into the convergence of generative AI and edge computing.
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A.I.
Latest Posts
Interdisciplinary team tackles complexity of clinical data in perioperative care
Developing a tool that evaluates button and switch devices from both hardware (through physical input) and software perspectives is the next logical step in the evolution of device testing automation.
5 minutes read
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.
Real-time 3D model creation in motion with Photoneo’s MotionCam-3D enables automated sandblasting/painting of large objects without interruption.
3 minutes read
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.
Aaron Johnson’s Robomechanics Lab has developed an open-source software that enables more agile movement in legged robots.
3 minutes read
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
In this episode, we talk about how researchers are developing tools to better understand how different microbial communities impact our health in an effort to reverse engineer them and the critical methodology used to 3D print functional heart ventricles.
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 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.
