This technical article explains, what is HBM, detailing its 3D-stacked architecture, the critical role of advanced packaging, and its application in modern GPUs, AI accelerators, and embedded systems.
At The Things Conference, Stefano Implicito, Marketing Director at Arduino, highlighted the innovations and partner-driven solutions powering LoRaWAN, IoT, and edge AI applications. Wevolver got an exclusive firsthand look at some of the exciting projects.
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.
This technical article explains, what is HBM, detailing its 3D-stacked architecture, the critical role of advanced packaging, and its application in modern GPUs, AI accelerators, and embedded systems.
At The Things Conference, Stefano Implicito, Marketing Director at Arduino, highlighted the innovations and partner-driven solutions powering LoRaWAN, IoT, and edge AI applications. Wevolver got an exclusive firsthand look at some of the exciting projects.
Quantum computing could revolutionize information technology by harnessing the strange principles of quantum mechanics. While there is growing hype surrounding its potential, the reality is a mix of groundbreaking progress and persistent technical challenges.
Discover why Digital Twins have become essential in design, manufacturing, and operations. Learn how AI, advanced simulation, and high-performance computing are turning proof-of-concept projects into enterprise-ready solutions, and explore practical insights from ATCx Digital Twin 2025.
Discover key differences in GDDR6 vs GDDR6X memory: compare bandwidth, power efficiency, signaling methods, and design trade-offs for advanced GPU architectures.
Engineering students developed an AI-powered irrigation solution rooted in intelligence, earning them first place in the "Building a Better Future Through Business and AI" competition.
In this episode, we cover how researchers trained a quadruped robot to play badminton, teaching it to track the shuttlecock, move into position, and swing a racket in real time, showing how AI can bring robots closer to human-like coordination.
AI is not here to replace the people who keep manufacturing moving. It is here to help. AI enhances decision-making, improves safety, and makes quality control more reliable and traceable.
A team of scientists from ITMO University has developed software that can automatically track potential human causes of industrial accidents, such as drinking or smoking in the workplace.
A new national initiative aims to develop a secure, Swiss-hosted infrastructure to enable AI-enhanced precision oncology across Switzerland while ensuring sensitive and personal health data remains protected.
The health care industry is increasingly relying on artificial intelligence – in responding to patient queries, for example – and a new Cornell study shows how decision-makers can use real-world data to build sustainability into new AI systems.