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Reducing AI's Vulnerable Attack Surface with Edge Computing

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

case study

AI Takes on Illegal Trash Dumping

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.

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

By continuously monitoring a patient’s gait speed, the system can assess the condition’s severity between visits to the doctor’s office.

Machine learning generates 3D model from 2D pictures

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.

The Art and Science of Benchmarking Neural Network Architectures

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

AI system makes models like DALL-E 2 more creative

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

Personalized prediction of depression treatment outcomes with wearables

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

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

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

Predicting surgical outcomes with machine learning

Interdisciplinary team tackles complexity of clinical data in perioperative care

Resilient robots

Resilient robot teams juggle competing priorities without deadlock

Harnessing man and machine's strengths for better IoT outcomes with ML

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.

University Technology Exposure Program 2022: July-August Final Update

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.

How To Use AI ML To Optimise Manufacturing Costs

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.