Tagged with

machine learning

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.

Playing nice: self-driving and human-driven cars sharing the road


Article #1 of the "Why Edge?" Series. Edge AI presents a multitude of benefits for security across industry.

Reducing AI's Vulnerable Attack Surface with Edge Computing

Researchers created a system that lets robots effectively use grasped tools with the correct amount of force.

Soft robots that grip with the right amount of force

Case study

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.

In-home wireless device tracks disease progression in Parkinson's patients

Neural field network doesn’t need to be trained on other samples

Machine learning generates 3D model from 2D pictures

A short guide to understanding the edge neural network design.

Neural Network Architectures at the Edge: Modelling for Energy Efficiency and Machine Learning Performance

Proven benchmarks provide a structured method for comparing ML/DL products and services.

The Art and Science of Benchmarking Neural Network Architectures

Researchers develop a new method that uses multiple models to create more complex images with better understanding.

AI system makes models like DALL-E 2 more creative

Researchers increase the accuracy and efficiency of a machine-learning method that safeguards user data.

Collaborative machine learning that preserves privacy

Interdisciplinary team builds multi-task machine learning model for randomized controlled trial

Personalized prediction of depression treatment outcomes with wearables

Artificial intelligence (AI) is showing significant promise in medical imaging. To translate this promise to reality requires rigorous evaluation of these algorithms.

Evaluation of AI for medical imaging: A key requirement for clinical translation

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.

Algorithm learns to correct 3D printing errors for different parts, materials and systems

On its own, a new machine-learning model discovers linguistic rules that often match up with those created by human experts.

AI that can learn the patterns of human language

Wevolver 2022