Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
The special issue aims to bring together high-quality research that demonstrates the transformative role of Artificial Intelligence and Machine Learning ...
Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...
Machines are moving beyond single-point sensing. Multi-sensor fusion now delivers vision, ranging and inertial data. The ...
When everyday clothes can quietly support your back during a long work shift, help you rise from a chair or steady your ...
A review on nano-architected mechanical metamaterials reveals how nanoscale geometry transforms material properties for enhanced strength and functionality.
Tech Xplore on MSN
Atomistic model explains how memory metals can change their shape
Shape memory alloys are exotic materials that can be deformed at room temperature and return to their "remembered," ...
Interesting Engineering on MSN
US researchers build fall-safe biped robots to advance real-world reinforcement learning
Researchers in the US developed bipedal robots with a new design, the HybridLeg platform, ...
Tech Xplore on MSN
Simple equations predict hydrogen storage in porous materials
A new set of simple equations can fast-track the search for metal-organic frameworks (MOFs), a Nobel-Prize-winning class of ...
AVEVA has introduced four AI tools to help engineers analyse, solve, and automate challenges in engineering and design ...
How atomic-layer deposition and hybrid dielectrics are redefining reliability and scaling for AI-era semiconductors.
Robots have evolved beyond repetitive tasks to incorporate AI, machine learning, and sensor fusion technologies that enable ...
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