AR/​AI

Stories

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Articles: AR/AI
Artificial intelligence will be a key tool going forward in achieving results, offering the ability to more rapidly design, prototype, and implement changes and solutions through superior data analytics abilities and improved human-machine interactions. Read on to learn more.
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Articles: Manufacturing & Prototyping
AI represents a tremendous opportunity across the manufacturing industry. To successfully implement and benefit from AI in 2025, manufacturers will need to develop a clear AI strategy, optimize operations, and manage risks. Read on to learn more.
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Articles: Software
Scientists from MIT and elsewhere have demonstrated a fully integrated photonic processor that can perform all the key computations of a deep neural network optically on a chip. Read on to learn more about it.
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Articles: Robotics, Automation & Control
Accelerating progress in AI is redefining what is possible with industrial robotics, enhancing everything from robots’ ability to grip, pick and place as well as their ability to map and navigate through dynamic environments. Read on to learn more about what this means.
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Briefs: Design
Growing Bio-Inspired Polymer Brains for Artificial Neural Networks
Read on to learn about a technique for growing conductive polymer wire connections between electrodes to realize artificial neural networks that overcome the limits of traditional computer hardware.
Special Reports: Sensors/Data Acquisition
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Test & Measurement - December 2024
From space satellites to the factory floor to medical labs, innovative test technologies are enabling major performance, quality, and cost improvements. Read about these and other applications in a new report...

Special Reports: Energy
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Automotive & Battery Testing - December 2024
Overcoming EV drivetrain challenges…leveraging AI to boost EV performance…best practices for battery design and testing. Read these articles and more in this compendium from the editors of...

INSIDER: Unmanned Systems
In 2018, Google DeepMind's AlphaZero program taught itself the games of chess, shogi, and go, using machine learning and a special algorithm to determine the best moves to win a game within a...
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Q&A: Wearables
Matthew Flavin, Ph.D., was part of a team at Northwestern University that developed a haptic patch to convey visual information to unsighted people through an array of multi-function actuators. Now, as assistant professor in the School of Electrical Engineering, he has started a new lab at the Georgia Institute of Technology to continue his work on bioelectronics.
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Special Reports: Sensors/Data Acquisition
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ADAS & Autonomous Vehicles - December 2024
Are today's sensors ready for next‐level automated driving? What will it take to realize software‐defined commercial vehicles? How will generative AI impact the autonomous vehicles market? Look for...

5 Ws: AR/AI
EgoTouch, a new tool developed by researchers in CMU’s Human-Computer Interaction Institute, could put control for AR/VR environments in the palm of your hand.
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Application Briefs: AR/AI
Robotic automation technology is reshaping food manufacturing, packaging, and handling by driving significant improvements in efficiency, quality, and flexibility. By integrating advanced artificial intelligence, computer vision, and proprietary force-sensing technology, Flexiv has introduced cutting-edge automation to the food processing sector. Read on to learn more.
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Articles: Motion Control
As technology advances, so do we as skilled professionals in the automation industry. Much like artificial intelligence, we continuously learn and adapt to enhance our overall performance. AI advancement and straightforward learning algorithms have transformed how we implement servo systems. Read on to learn more.
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Briefs: Software
Penn Engineers have developed a new algorithm that allows robots to react to complex physical contact in real time, making it possible for autonomous robots to succeed at previously impossible tasks, like controlling the motion of a sliding object. Read on to learn more.
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Articles: Aerospace
See the products of tomorrow, including a 3D microwave antenna, smart CCTV systems trained to spot blockages in urban waterways, and a full-scale prototype for six telescopes that will enable, in the next decade, the space-based detection of gravitational waves.
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Special Reports: Robotics, Automation & Control
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Robotics - November 2024
Read about the latest breakthroughs in robots for space exploration, healthcare, factory automation, hazardous waste cleanup, and more in this collection of articles from the editors of Tech Briefs, Medical Design...

Blog: Energy
My Opinion: Sustainability depends on understanding system interrelationships. Read on to learn more about SAE Media Group's Ed Brown's opinion on the matter.
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Q&A: AR/AI
Professor Animashree (Anima) Anandkumar and her team at The California Institute of Technology (Caltech) have developed a control strategy for unmanned aerial vehicles (UAVs) that uses reinforcement learning to adaptively learn how turbulent wind can change over time and then uses that knowledge to control the UAV based on what it is experiencing.
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Podcasts: Weapons Systems
U.S. Army leadership discusses how the Army wants to use AI and ML for processing, exploitation, and dissemination.
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Quiz: Power
With the skyrocketing growth in AI capabilities, the need for electricity is also increasing, presenting challenges for data centers. Wells Fargo is projecting AI power demand to surge 550 percent by 2026, before rising another 1,150 percent by 2030. How much do you know about power consumption by AI? Take this quiz to test your knowledge.
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INSIDER: Robotics, Automation & Control
As children learn to ride a bike, adults can only guide them to a certain point. A large portion of developing this new skill depends on independent trial and error from...
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Podcasts: Weapons Systems
Michael Amori, CEO and co-founder of Virtualitics, is the guest on this episode of the Aerospace & Defense Technology podcast to explain how the Air Force is using Integrated Readiness Optimization for weapons sustainment.
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Briefs: Manufacturing & Prototyping
Imagine if physicians could capture 3D projections of medical scans, suspending them inside an acrylic cube to create a hand-held reproduction of a patient’s heart, brain, kidneys, or other organs. Then, when the visit is done, a quick blast of heat erases the projection, and the cube is ready for the next scan. A new report by researchers at Dartmouth and Southern Methodist University outlines a technical breakthrough that could enable such scenarios, and others, with widespread utility. Read on to learn more.
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Articles: Imaging
Event-based sensing enables new approaches to machine learning. An object recognition or detection algorithm that, until now, could only use the spatial information from a frame can now access another dimension: time. Read on to learn more.
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Articles: Photonics/Optics
Opto Generative Pretrained Transformer (OptoGPT), a decoder-only transformer, developed by University of Michigan engineers, harnesses the computer architecture underpinning ChatGPT to work backward from desired optical properties to the material structure that can provide them. Read on to learn more.
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Videos of the Month: Robotics, Automation & Control
See the videos of the month, including one on a humanoid robot that can effortlessly learn and perform a variety of expressive movements all while maintaining a steady gait on diverse terrains; one on Picotaur, the first legged robot of its size to run, turn, push loads, and climb miniature stairs; one on the DoD’s All Domain Test Range; and one on using generative AI and cutting-edge scene-mapping technology to elevate robots from simple tools to being capable of providing aid in disaster and battlefield scenarios.
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Briefs: Wearables
Leveraging Machine Learning and AI to Automate Wearable Tech Design
Defying engineering challenges in record time, researchers at the University of Maryland developed a machine learning model that eliminates hassles in materials design to yield green technologies used in wearable heaters. Read on to learn more.
Articles: Design
The Transensys Multi-Modal Traffic Detection System is an attempt to provide widespread, low-cost, and accurate traffic measurement. It's also the Automotive & Transportation Finalist. Read on to learn more.
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Briefs: AR/AI
Yen-Ling Kuo at the University of Virginia School of Engineering and Applied Science is collaborating with a team at the Toyota Research Institute to build language representations of driving behavior that enable a robot to associate the meaning of words with what it sees by watching how humans interact with the environment or by its own interactions with the environment. Read on to learn more.
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Videos