How AI Impacts an Industrial Machinery Manufacturer’s Design Process

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.

The State of AI: Manufacturing 2025

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.

Photonic Processor Could Enable Ultrafast AI Computations

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.

Artificial Intelligence and Industrial Robotics: Far Beyond the Hype

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.

Helping Robots Make Good Decisions in Real Time

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...

A Haptic Patch Can Transmit Complex Information to a Wearer’s Skin

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.

5Ws of the EgoTouch

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.

Revolutionizing Seafood Production with Adaptive Robots

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.

AI in Motion Control: Optimizing Servo Systems

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.

Mastering Physical Contact with New Algorithm for Robots

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.

Products of Tomorrow

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.

My Opinion: Sustainability Depends on Understanding System Interrelationships

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.

AI Helps UAVs Predict Oncoming Turbulence

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.

Processing, Exploitation, and Dissemination: The Army's Future Vision for Fused AI

U.S. Army leadership discusses how the Army wants to use AI and ML for processing, exploitation, and dissemination.

How to Meet the Challenge of AI Power Demand

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.

Innovative Framework for Autonomous Robot Learning and Task Mastery

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...

Why the Air Force Is Using the Virtualitics AI Approach to Weapon Sustainment

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.

New Technology Uses Light to Engrave Erasable 3D Images

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.

Designing the Next Generation of Event-Based Sensing and Vision for Edge Applications

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.

Can Optical Component Manufacturers Design Better Devices With AI?

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.

Videos of the Month

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.

Automotive & Transportation Finalist: Multi-Modal Traffic Detection System

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.

Giving Autonomous Vehicles the Ability to Reason

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.