A deep dive into the convergence of generative AI and edge computing.
Category
A.I.
Latest Posts
This article taps into discussing problems met by retailers and ways in which they can be solved with robotic automation.
6 minutes read
Digital twins, edge processing, and addressing bias are at the center of AI research and development.
Computer vision brings an 80% reduction in illegal dumping. IoT surveillance company iDefigo partners with Matroid to apply AI-based computer vision for illegal trash dumping detection.
2 minutes read
By continuously monitoring a patient’s gait speed, the system can assess the condition’s severity between visits to the doctor’s office.
Neural field network doesn’t need to be trained on other samples
A short guide to understanding the edge neural network design.
In this episode, we talk about how a team from MIT is making the most well known creative AI - Dall-E - even better at creativity!
Proven benchmarks provide a structured method for comparing ML/DL products and services.
Researchers develop a new method that uses multiple models to create more complex images with better understanding.
Interdisciplinary team builds multi-task machine learning model for randomized controlled trial
A car rental company uses the Photoneo 3D camera MotionCam-3D to inspect and identify defects on rental cars.
2 minutes read
In this episode, we talk about how Toyota and Stanford are collaborating to utilize AI for drifting controls and the efforts behind a team at TUM which has resulted in an autonomous race car performing at the capacity of an amateur F1 driver.
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.
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.
