Global Automated SMD Storage System Market to Expand at 7.6% CAGR from 2025–2032, Driven by Industry 4.0 Adoption and Rising Demand for Precision Component Handling
Global Automated SMD Storage System Market was valued at USD 1,213 million in 2024 and is projected to reach USD 1,996 million by 2032, registering a strong CAGR of 7.6% during 2025–2032. Growth is fueled by rapid Industry 4.0 adoption, rising miniaturization of electronic components requiring high-precision handling, and increasing investment in smart factory automation.Automated SMD storage systems integrate robotics, IoT connectivity, and intelligent inventory software to streamline reel storage, retrieval, and tracking—reducing human error and significantly boosting PCB assembly efficiency. With applications across consumer electronics, automotive electronics, aerospace, medical devices, and high-mix manufacturing environments, the market is set for sustained global expansion.

a 3rd leg in the robotics lab

These grad students in robotics aren't very smart. Not impressed lol

China has unveiled a bionic robotic fish that swims and maneuvers like a real one—but with a purpose beyond the ecosystem. Developed by researchers at Wuhan University, this AI-powered marvel is now patrolling the Yangtze River to support environmental monitoring and river conservation.

Equipped with cutting-edge sensors and smart obstacle avoidance, the robotic fish collects real-time data on water quality, pollutant levels, and ecological conditions. Unlike static monitoring stations, this mobile unit explores hard-to-reach areas, adapting its route with machine learning.

The aim? To catch pollution early, support biodiversity, and inform government clean-up policies with actionable data.

It’s not just a tech achievement—it’s a glimpse of how AI and robotics can become allies in fighting environmental degradation.

#BionicFish #AIForNature #EcoTech #RiverProtection #ChinaInnovation

China’s Non-Binary AI Chips Could Revolutionize Smart Tech and Aviation
China has begun mass production of non-binary AI chips — processors that go beyond traditional 1s and 0s to compute using probabilistic states. These chips don’t follow the rigid logic of binary systems; instead, they mimic how the human brain evaluates uncertainty, making them ideal for fields like autonomous flight, robotics, and edge AI.

Developed with applications in aviation, smart factories, and adaptive systems, the chips could enable machines to make better decisions in unpredictable environments — a major leap over conventional AI accelerators.

While still in early stages globally, China's rapid investment in non-binary logic and probabilistic computing suggests it’s betting big on a future where machines reason with nuance — not just speed.

#AIChips #NonBinaryComputing #ChinaTech #SmartManufacturing #NextGenAI