Researchers at NC State University have unveiled Rainbow, a first-of-its-kind multi-robot self-driving laboratory that autonomously discovers high-performance quantum dots – semiconductor nanoparticles critical for next-generation displays, solar cells, LEDs and quantum-engineering technologies.
Join Altair's upcoming virtual event, ATCx Digital Twin – From Idea to Reality on October 23rd, to discover how simulation, AI, and high-performance computing are converging to redefine product design and development.
A research team from ETH Zurich has taught the four-legged robot ANYmal to play badminton – including precise arm movements, quick reflexes and nimble footwork.
Artificial intelligence (AI) is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decision making
EPFL roboticists have shown that when a modular robot shares power, sensing, and communication resources among its individual units, it is significantly more resistant to failure than traditional robotic systems, where the breakdown of one element often means a loss of functionality.
MIT researchers' DiffSyn model offers recipes for synthesizing new materials, enabling faster experimentation and a shorter journey from hypothesis to use.
Matroid builds no-code computer-vision detectors that can spot everything from microscopic material defects to real-time safety hazards on a factory floor.
In large-scale warehousing and distribution operations, conveyor belts are an essential infrastructure that must operate with near-zero downtime to ensure the timely delivery of products. The presence of loose or foreign items on a conveyor belt can pose a serious risk to these operations.
In this post, we'll walk through how to evaluate that progress using the same metrics our platform provides automatically, so you can build detectors that get smarter, sharper, and more reliable over time.
Researchers at NC State University have unveiled Rainbow, a first-of-its-kind multi-robot self-driving laboratory that autonomously discovers high-performance quantum dots – semiconductor nanoparticles critical for next-generation displays, solar cells, LEDs and quantum-engineering technologies.
Join Altair's upcoming virtual event, ATCx Digital Twin – From Idea to Reality on October 23rd, to discover how simulation, AI, and high-performance computing are converging to redefine product design and development.
A research team from ETH Zurich has taught the four-legged robot ANYmal to play badminton – including precise arm movements, quick reflexes and nimble footwork.
New machine learning framework bridges the embodiment gap between robots and humans and enables quadrupedal robots to perform versatile movements like pouring soda, organizing shoes, and even cleaning up cat litter.
Wearables have enjoyed a meteoric rise in popularity in recent years to the point that one in four of us now wear a smart connected device. Fifteen years ago, it was one in 100 people. This growth in ownership has been driven to an extent by convenience and integration.
In this article, we'll explore how three edge AI architectures; robotics, system-on-modules (SoMs), and medical devices, are driving this shift, and how MRAM and FeRAM are enabling smarter, more resilient memory at the edge.
AI has made incredible recent progress, but voice assistants are still plagued by the rigidity and lack of contextual awareness they launched with years ago. For most, voice remains an interface of last resort, reserved for occasionally pulling up directions or playing a song on a smart speaker.
High frequency radio waves can wirelessly carry the vast amount of data demanded by emerging technology like virtual reality, but as engineers push into the upper reaches of the radio spectrum, they are hitting walls. Literally.
While outdoor navigation using GPS technology is seamlessly integrated into everyday life, effective indoor navigation still presents a challenge. GPS signals are typically weaker or even non-existent inside large buildings, shopping malls, hospitals, airports, and industrial complexes.
In this episode, we explore how AI-powered eco-driving—smartly adjusting vehicle speeds to minimize stops and unnecessary acceleration—can reduce carbon emissions at city intersections by 11 to 22 percent.