Using Neural Networks for Faster X-Ray Imaging

Artificial intelligence is used to decode X-ray images faster, which could aid innovations in medicine, materials, and energy.

3D Motion Tracking System for Autonomous Technology

The system could one day replace LiDAR and cameras in automated manufacturing, biomedical imaging, and autonomous driving.

Electronic Skin Sensor Decodes Human Motion

This system can track the motion of the entire body with a small sensory network.

Earphone Tracks Facial Expressions, Even with a Facemask

The device can translate expressions into emojis or silent speech commands.

Recovering Data: NIST’s Neural Network Model Finds Small Objects in Dense Images

A NIST method employs a neural network to detect patterns like geometric objects in imaging data.

Optical Neural Network Recognizes Objects Instantly

This technology can work with multiple wavelengths of light simultaneously.

Technology Advances Learning Capabilities of Drone Swarms

The learning approach allows swarms of unmanned vehicles to optimally accomplish their mission while minimizing performance uncertainty.

Model Recovers Data Lost from Images and Video in Low Dimensions

Video can be recreated from motion-blurred images and new cameras may someday retrieve 3D data from 2D medical images.

Neural Hardware for Image Recognition in Nanoseconds

An ultrafast image sensor with a built-in neural network can be trained to recognize certain objects.

Method Verifies that Quantum Chips are Computing Correctly

The method determines whether circuits are accurately executing complex operations that classical computers can’t tackle.

System Reduces the Carbon Footprint of Artificial Intelligence

An automated system cuts the energy required for training and running neural networks.

Vision-Based System Validates Driver Monitoring

Vision-based convolutional neural network system detects phone usage, eating, and drinking.

Wireless Movement-Tracking System Uses Low-Power Radio Frequency Signals

In some cases, radio frequency signals may be more useful for caregivers than cameras or other methods to collect health and behavioral data.

Soft Robotics Perception System

A perception system for soft robots was developed that is inspired by the way humans process information about their own bodies in space and in relation to other objects and people. The system includes a motion...

Facial Recognition Technology Works in the Dark

Thermal cameras like forward looking infrared (FLIR) sensors are actively deployed on aerial and ground vehicles, in watch towers, and at check points for surveillance purposes. More recently,...

Optical Neural Network Could Lead to Intelligent Cameras

UCLA engineers have made major improvements on their design of an optical neural network — a device inspired by how the human brain works — that can identify objects or process...

Machine Vision Camera Trends: 2019 and Beyond

Each passing year, machine vision is finding its way into applications that were not commercially feasible — and in some cases, impossible.

Q&A: “Neural Lander” Uses AI to Land Drones Smoothly

Soon-Jo Chung is Bren Professor of Aerospace in the Division of Engineering and Applied Science (EAS) at Caltech and research scientist at Jet Propulsion Laboratory. He and his team...

Bringing Human-Like Reasoning to Driverless Car Navigation

With the aim of bringing more human-like reasoning to autonomous vehicles, MIT researchers have created a system that uses only simple maps and visual data to enable driverless cars to...

High Tech Comes to Fitness Monitoring

Early wearable fitness monitoring devices were designed to perform a set of valuable but straightforward activities: tallying the number of steps we take daily, recording the number of hours we sleep, and...

Ultra-Low-Power Chips Enhance Performance of Small Robots

An ultra-low-power hybrid chip inspired by the brain could help give palm-sized robots the ability to collaborate and learn from their experiences. Combined with new generations of...

Model Gives Robots a Better Feel for Object Manipulation

A new learning system improves a robot’s ability to mold materials into target shapes and make predictions about interacting with solid objects and liquids. The system, known as a...

Novel Techniques Trick Object Detection Systems

New adversarial techniques developed by engineers at Southwest Research Institute can make objects “invisible” to image detection systems that use deep-learning algorithms. These techniques...

Deep Learning in Machine Vision

FLIR Systems has introduced their Firefly machine vision camera with open platform deep learning inference onboard. Deep learning makes it possible to easily develop high performance solutions for difficult...

The Role Deep Learning Plays in Imaging Software

Deep learning technology is inspired by the way the human brain works, using trained artificial neural networks to perform recognition and decision-making tasks. A convolutional neural network...

Efficient Security for Cloud-Based Machine Learning

Outsourcing machine learning is a rising trend in industry. Major tech firms have launched cloud platforms that conduct computation-heavy tasks, such as running data through a convolutional...

Engineering Soft Materials that Mimic Neural Tissue

A process for engineering next-generation soft materials with embedded chemical networks that mimic the behavior of neural tissue lays the foundation for soft active matter with highly...

Novel Synaptic Architecture for Brain-Inspired Computing

Over the past few years, deep learning algorithms have proven to be highly successful in solving complex cognitive tasks such as controlling self-driving cars and language understanding....