Latest Articles (10+)
Someday autonomous vehicles and human-driven vehicles will share the road. How to manage the rise of AVs is the topic of a Carnegie Mellon policy brief.
Article #1 of the "Why Edge?" Series. Edge AI presents a multitude of benefits for security across industry.
Researchers created a system that lets robots effectively use grasped tools with the correct amount of force.
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.
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
Neural Network Architectures at the Edge: Modelling for Energy Efficiency and Machine Learning Performance
A short guide to understanding the edge neural network design.
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.
Researchers increase the accuracy and efficiency of a machine-learning method that safeguards user data.
Interdisciplinary team builds multi-task machine learning model for randomized controlled trial
Artificial intelligence (AI) is showing significant promise in medical imaging. To translate this promise to reality requires rigorous evaluation of these algorithms.
Engineers have created intelligent 3D printers that can quickly detect and correct errors, even in previously unseen designs, or unfamiliar materials like ketchup and mayonnaise, by learning from the experiences of other machines.
On its own, a new machine-learning model discovers linguistic rules that often match up with those created by human experts.