Interesting Engineering is a cutting edge, leading community designed for all lovers of #engineering, #technology and #science

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Joined April 2012
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Lockheed Martin is floating a custom F-16 designed specifically for Ukraine.
Lockheed Martin may develop a Ukraine-specific F-16 with longer range, AESA radar and European weapons integration. But will this proposal become a real fighter programme?
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University of Cincinnati engineering students, working with Valvoline, have developed an autonomous drone inventory system for warehouses that is controlled through a photorealistic digital twin built with Unreal Engine, the same software used in Fortnite. Workers navigate a high-fidelity virtual replica of the warehouse and dispatch drones to specific aisles or shelves with a single click. The drones use lidar rather than GPS to navigate indoor spaces with centimeter-level accuracy, reaching high shelves that are difficult for human workers to access quickly. The system can also detect leaks from containers before they damage entire pallets. 65% of North American warehouses still rely on manual inventory, which the team says leads to widespread categorization errors and misplaced products. With over 4,000 new US warehouses expected in the next four years, demand for automated systems is growing.
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Sun Zhiwei, a 61-year-old number theory professor at Nanjing University, has compiled over 1,000 original unsolved mathematical conjectures in a 400-page collection, some paired with cash prizes funded from his own salary. Sun argues that AI is a capable mathematical assistant but cannot replace the human ability to ask genuinely new questions. He describes AI as “a highly knowledgeable, diligent and intelligent graduate student” that needs human guidance, and even cuts off its internet access when assigning hard problems so it cannot discover they remain unsolved and refuse to work on them. Some of his most difficult problems he calls “alien conjectures,” problems he believes current human mathematics cannot solve. Sun’s approach to mathematics shifted after a 2005 visiting professorship, when he learned to use computational software to validate thousands of cases at once, triggering what he describes as a sudden creative breakthrough.
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University of Cincinnati researchers, working with NASA, have developed a system that uses audio recordings to identify mechanical faults in drones before flight. By recording the sounds drones make with chipped or cracked propellers, damaged motors, and seized bearings, the team converted the audio into data that ground station computers can use to flag a drone as unairworthy before it takes off. The system is designed to integrate with existing NASA preflight checks and could eventually be embedded in autonomous drone-in-a-box systems, where drones launch, land, and recharge without an onsite operator. Future versions could allow drones to monitor their own sounds mid-flight and return to base before a catastrophic failure occurs.
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D.R. Horton, America's largest homebuilder by volume, has signed a multi-year deal with Toronto-based Promise Robotics to support production of more than 1,250 homes in the Phoenix area. Promise's AI turns a builder's existing plans into robot instructions, and KUKA robot arms assemble walls, floors and stairs in a factory before crews put them together on site. Its Phoenix factory is expected to start production in early 2027.
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Two third-year students at IIT Gandhinagar won second place at Intel’s international undergraduate electronics design contest in Shanghai for TrustGate, an AI cybersecurity system for industrial control systems. The project was inspired by a 2021 attack on a Florida water treatment plant where an intruder tried to raise sodium hydroxide to 100 times safe levels, caught only because an operator happened to notice his mouse moving on its own. TrustGate uses a dual-stream AI model that analyzes network traffic and physical sensor readings in parallel, allowing the two streams to actively cross-check each other rather than being processed separately. This allows it to detect attacks that appear legitimate at the network level but are physically dangerous, and to identify the specific plant component under attack rather than issuing a generic alert. The system runs entirely on embedded hardware with no cloud dependency, designed to keep functioning even if external connectivity is cut during an attack.
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