EPFL researchers are developing robotic beehive frames that help locate honey stores inside of beehives over time, without relying on cameras. The aim is to develop new observation tools to study honeybee behavior that better fit the bees' natural way to occupy space compared to current methods.
Did you miss ATCx AI for Engineers 2025? Catch up on key insights, real-world AI use cases, and how the event showcased AI's growing role in transforming engineering workflows, design, and smart manufacturing.
In this article, we'll see how PLC and SCADA systems differ, how they work together, and which protocols, scan times and security controls matter in industrial automation.
A modern vehicle's competitive advantage lies in compiled firmware. Binary-level protection secures that code without source access, hardware changes, or a heavy memory budget.
Mario Mauerer, maxon's Global Business Development Manager, Robotics, discusses what it takes for robotic deployments to be successful in complex real-world environments.
Join Prof. Fei Chen as he explores advanced bimanual manipulation and teleoperation techniques shaping the future of intelligent human-like robots in this expert-led robotics session.
EPFL researchers are developing robotic beehive frames that help locate honey stores inside of beehives over time, without relying on cameras. The aim is to develop new observation tools to study honeybee behavior that better fit the bees' natural way to occupy space compared to current methods.
Did you miss ATCx AI for Engineers 2025? Catch up on key insights, real-world AI use cases, and how the event showcased AI's growing role in transforming engineering workflows, design, and smart manufacturing.
Learn more about how UWB is evolving, how Matter's standardization is enabling scalable ecosystems, and why Qorvo's partnerships and secure SoC platforms make it a leading player in the future of intelligent connectivity.
Article #5 of Confronting AI Series: Smart ML on embedded systems demands efficiency under tight memory, compute, and latency constraints. Techniques like pruning, quantization, low-rank decomposition, and federated learning enable compact, fast, and reliable models for edge intelligence.
Vision-driven, multi-arm robotics are set to transform the factory itself into a configurable product, capable of switching from one assembly task to the next with a software update instead of a hardware rebuild. Learn more now in our latest report.
Batteries have long been the Achilles' heel of IoT solutions. When a battery dies, it often drags the entire solution down with it. Ambient IoT might be the solution.
Article #4 of Confronting AI Series: AI's rapid rise brings transformative potential and serious risks; without transparency, regulation, education, and justice, unchecked deployment may entrench bias, erode trust, and harm society more than it helps.
Smart micromobility operators pair fleet management platforms with connectivity infrastructure to gain better insights into vehicle performance and more effectively manage their fleets as a whole.
Texas A&M researchers received a grant from the U.S. Army Research Laboratory to address the limitations of applying artificial intelligence tools in military scenarios.
OUTDATED ELECTRICITY METERING means a comparative lack of efficiency, accuracy, and even grid reliability. This not only places pressure on the bottom line for utilities but directly impacts the everyday lives and budgets of communities and households desperate for stable yet affordable power.