Software

Quantum Computing Architecture May Enable High-Fidelity Communication

MIT researchers have developed a quantum computing architecture that aims to enable extensible, high-fidelity communication between superconducting quantum processors.

SuperGPS Accurate Within 10 Centimeters

This new technology — developed by engineers at Delft University of Technology, Vrije Universiteit Amsterdam, and VSL, and which can achieve an accuracy of 10 centimeters — is important for the implementation of a range of location-based applications, such as automated vehicles, quantum communication, and next-generation mobile communication systems.

Circumferential Scissor Spring Enhances Precision in Hand Controllers

Innovators at NASA’s Johnson Space Center have designed a circumferential scissor spring mechanism, that when incorporated into a hand controller, improves the restorative force to a control stick’s neutral position. The design also provides for operation on a more linear portion of the spring’s force deflection curve, yielding better feedback to the user.

Generative AI Models Solve Multistep Robot Manipulation Problems

MIT researchers developed a machine-learning technique called Diffusion-CCSP. Diffusion models learn to generate new data samples that resemble samples in a training dataset by iteratively refining their output.

Additive Manufacturing Model-Based Process Metrics

Inventors at the NASA Langley Research Center have developed a novel method to model and ingest point-wise process data to evaluate an additive manufacturing build and its file for issues by highlighting potential anomalies or other areas where the build may have issues with fusion of the material.

Amateur Drone Videos Could Aid Natural Disaster Damage Assessment

By using artificial intelligence, researchers are developing a system that can automatically identify buildings after disasters and make an initial determination of whether they are damaged and how serious that damage might be.

PockEngine Enables AI on Edge Devices to Keep Learning Over Time

Researchers from MIT, the MIT-IBM Watson AI Lab, and elsewhere have developed a technique that enables deep-learning models to efficiently adapt to new sensor data directly on an edge device. Their on-device training method, Pock-Engine, determines which parts of a huge machine-learning model need to be updated to improve accuracy, and only stores and computes with those specific pieces.

Using Kirigami to make Ultrastrong, Lightweight Structures

Using kirigami, the ancient Japanese art of folding and cutting paper, MIT researchers have now manufactured a type of high-performance architected material known as a plate lattice, on a much larger scale than scientists have previously been able to achieve by additive fabrication.

Testing Real Driverless Cars in a Virtual Environment

Researchers at The Ohio State University have developed new software to aid in the development, evaluation, and demonstration of safer autonomous, or driverless, vehicles. Called the Vehicle-in-Virtual-Environment (VVE) method, it allows the testing of driverless cars in a perfectly safe environment.

Aerovy Mobility Develops Cloud Software to Support Electric Aircraft Infrastructure

Launched by Purdue University postgraduate students, Aerovy Mobility commercializes cloud-based software solutions to plan and operate infrastructure that charges electric aircraft with renewable energy.

Securing Supply Chains with Quantum Computing

New research in quantum computing at Sandia National Laboratories is moving science closer to being able to overcome supply-chain challenges and restore global security during future periods of unrest.

Autonomous Driving Algorithm Distributes Risk Fairly

Researchers have developed the first ethical algorithm to fairly distribute the levels of risk rather than operating on an either/or principle.

An Algorithmic Planner Helps Delegate Tasks to Human-Robot Teams

The technology could be useful in manufacturing and assembly plants for sorting packages, or in any environment where humans and robots collaborate.

An Artificial Intelligence System to Identify Objects in Cluttered Scenes

Robotic vision has come a long way, reaching a level of sophistication with applications in complex and demanding tasks, such as autonomous driving and object manipulation.

A New Method to Improve Motion Planning for Robots

Interactive program aids motion planning for environments with obstacles.

An AI Chip Runs Computations Directly in Memory

A team has designed and built a chip that runs computations directly in memory and can run a wide variety of AI applications.

Engineers Build Reconfigurable Artificial Intelligence Chip

The researchers plan to apply the design to edge computing devices.

Faster Computation for Deep-Learning Applications

A new area of artificial intelligence called analog deep learning promises faster computation with a fraction of the energy usage.

Incorporating Computer Vision and Uncertainty into AI for Robotic Prosthetics

The software can be integrated with existing hardware to aid people using robotic prosthetics or exoskeletons.

Enhancing Fault Isolation and Detection for Electric Powertrains of UAVs

NASA’s System-Wide Safety (SWS) project is developing innovative data solutions to assure safe, rapid, and repeatable access to a transformed National Airspace System.

AI that Mimics the Human Eye

Researchers at University of Central Florida have developed an artificial intelligence device that mimics the retina of the eye.

How Virtual, Cloud-Based Technologies Are Powering the Next Industrial Revolution

Companies in many industries are completely revamping the way in which their manufacturing arms are designing, building, producing, and servicing their goods.

Nanomagnets Can Perform AI-Like Processing

The new method could slash the energy cost of AI.

Meta Monitoring System

MMS was developed as an add-on to NASA Ames-patented Inductive Monitoring System (IMS), which estimates deviation from normal system operations.

Using AI to Improve 3D Printing

Simulations teach a neural network how to adjust printing parameters to minimize error, and then apply that controller to a real 3D printer. The system printed objects more accurately than all the other 3D-printing controllers they compared it to.

X-Ray Crack Detectability

The models allow users to optimize X-ray radiography setups, for the detection of crack and crack-like flaws, to penetrate various materials to show internal structures of parts.

Artificial Intelligence Tech Set to Transform Heart Imaging

The team compared its AI approach, known as virtual native enhancement, with contrast-enhanced CMR scans now used to monitor hypertrophic cardiomyopathy, the most common genetic heart condition.