Single-Shot Polarization Imaging System Provides Complete Picture

Researchers at the Harvard John A. Paulson School of Engineering and Applied Sciences have developed a compact, single-shot polarization imaging system that can provide a complete picture of polarization. Read on to learn more about it.

For EV Safety Tests, AI Is Here to Help

It’s important to note that skepticism toward AI is reminiscent of past attitudes toward now-standard technologies. Thirty years ago, tools such as CFD were met with trepidation — an attitude defined by limited understanding. Today, engineers see them as indispensable. Similarly, adopting AI requires a shift in perspective and embracing its potential.

Executive Insights: Humanoid Robots

Despite their immense potential, humanoid robots face several challenges before they can achieve mainstream adoption. In this article, two industry executives — Melonee Wise, Chief Product Officer of Agility Robotics and Barry Phillips, Chief Commercial Officer of Apptronik — share their insights about the current state and future outlook for humanoid robots.

Boosting Robotic Grasping Performance with Six Degrees of Freedom Dataset

A new study, published in the journal Results in Engineering, introduced a meticulously designed dataset aimed at enhancing the performance of 6D pose estimation algorithms. Read on to learn more.

Bio-Inspired Cameras and AI Detect Obstacles Faster

Daniel Gehrig and Davide Scaramuzza from the Department of Informatics at the University of Zurich have combined a novel bio-inspired camera with AI to develop a system that can detect obstacles around a car much quicker than current systems and using less computational power. Read on to learn more about the study, which is published in Nature.

Why AI-Powered Engineering Matters in Automotive Design and Lightweighting

How can we implement new technology and meet market demand without compromising performance and quality? The answer is AI-powered engineering. Read on to learn more about it.

This AI Can Tell You Your Food’s Nutritional Value

An AI system developed by NYU Tandon School of Engineering researchers promises a new tool for the millions of people who want to manage their weight, diabetes, and other diet-related health conditions.

How Much Do You Know About Animal-Inspired Technology?

How much do you know about animal-inspired technology? Test your knowledge with this quiz.

AI and Humans as Teammates

Duke University Professor Boyuan Chen and his team have developed a platform called CREW that is used to create algorithms to optimize human-AI cooperation.

Robot Works Inside E-Waste Recycling Facility

A researcher from Carnegie Mellon University’s School of Computer Science is using robotics to improve e-waste recycling.

MIT Engineers Help Multirobot Systems Stay In the Safety Zone

Drone shows are an increasingly popular form of large-scale light display. These shows incorporate hundreds to thousands of airborne bots, each programmed to fly in paths that...

New AI Algorithm Could Lead to Truly Autonomous AI

Researchers have developed a new AI algorithm, called Torque Clustering, that is much closer to natural intelligence than current methods. It significantly improves how AI systems learn and uncover patterns in data independently, without human guidance.

An AI Solution for Steering Adaptive Control Systems

A new study led by Flinders University and French researchers has used a novel bio-inspired computing artificial intelligence solution to improve the potential of UUVs and other adaptive control systems to operate more reliability in rough seas and other unpredictable conditions. Read on to learn more.

NASA Demonstrates Software ‘Brains’ Shared Across Satellite Swarms

New NASA technology works within satellite swarms. This technology, called Distributed Spacecraft Autonomy (DSA), allows individual spacecraft to make independent...

Accelerating Climate Modeling with Generative AI

A climate model that combines generative AI and physics data is 25 times faster than the state of the art.

AI-Driven Manufacturing Efficiency Tool

Qing “Cindy” Chang and her team at the University of Virginia have made a significant advancement in manufacturing technology by developing an AI-driven system that could transform how factories operate. Using Multi-Agent Reinforcement Learning (MARL), the team has created a more efficient way to optimize manufacturing systems, improving both speed and quality while reducing waste.

MIT Engineers Grow “High-Rise” 3D Chips

The electronics industry is approaching a limit to the number of transistors that can be packed onto the surface of a computer chip. So, chip manufacturers are looking to build up rather than out.

Neuromorphic Semiconductor Chip Learns and Corrects Itself

Existing computer systems have separate data processing and storage devices, making them inefficient for processing complex data like AI. A Korea Advanced Institute of Science and...

New AR Glasses Use AI-Enhanced Holographic Imaging

Researchers in the emerging field of spatial computing have developed a prototype augmented reality headset that uses holographic imaging to overlay full-color, 3D moving images on the lenses of what would appear to be an ordinary pair of glasses. Read on to learn more about it.

AI Discovers Stiff and Tough Microstructures

A team at MIT has moved beyond traditional trial-and-error methods to create materials with extraordinary performance through computational design. Their new system integrates physical experiments, physics-based simulations, and neural networks to navigate the discrepancies often found between theoretical models and practical results. Read on to learn more.

Innovative Robot Navigation Inspired by Brain Function Boosts Efficiency and Accuracy

Led by postdoctoral research fellow Somayeh Hussaini, alongside Professor Michael Milford and Dr Tobias Fischer of the Queensland University of Technology...

AI-Powered Assistants Will Be Integrated into Engineering Applications

AI assistants in engineering software will both simplify and streamline engineers' ability to control their tools. By leveraging natural language models, engineers will be able to interact with applications directly through voice and text commands. Read on to learn more.

The Future of AI for Aerospace Manufacturing

All aerospace industry sectors have embraced artificial intelligence and machine learning to improve practical and urgent concerns. AI has become fundamental in the management of safety, part design, inspection processes, maintenance, repair, and overhaul (MRO), and fuel efficiency. Read on to learn more about it.

Ultra-Compact Camera Technology Optimized for VR/AR Devices

Researchers have developed an optical design technology that dramatically reduces the volume of cameras with a folded lens system utilizing “metasurfaces,” a next-generation nano-optical device. Read on to learn more.

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.