Drones, robots and self-driving vehicles are becoming the new proving ground for artificial intelligence. Machines are taking on more decision-making themselves, rather than relying on the cloud. The reason is speed. When a system has to react in milliseconds, waiting on a round trip to external servers is not an option, whether it's avoiding a collision or detecting an unauthorized drone. Elan Microelectronics chairman I-hau Yeh says this shift, moving AI processing from edge computing directly onto the device itself, is becoming essential for unmanned systems. Few applications demand more speed and accuracy than counter-unmanned aircraft systems, or C-UAS: technology built to detect and respond to unauthorized drones.
Tesla has reportedly selected Samsung Electro-Mechanics and LG Innotek to supply camera modules for the Cybercab, a move that would give the South Korean suppliers a foothold in the automaker's purpose-built robotaxi as both expand beyond smartphones into automotive and physical AI applications.
China's Ministry of Industry and Information Technology launched surprise inspections in late July 2026 at five electric vehicle makers as Beijing widened its crackdown on "involution" industries. The checks focused on battery quality, smart-driving safety and marketing claims after years of intense price competition had raised concerns over product consistency and safety.
Factorial Energy and SK On have agreed to study whether existing battery plants could be adapted for solid-state cells, a move that could affect how next-generation batteries reach global markets. The deal underscores a broader industry push to scale cleaner, denser energy storage through established manufacturing networks, rather than entirely new factories.
Tesla's latest quarterly results fell short of market expectations, but another development attracted equal attention: CEO Elon Musk adopted a noticeably more cautious tone when discussing the company's Robotaxi ambitions.
Onsemi's leadership fielded a wide range of investor questions following the company's second-quarter 2026 results, with much of the discussion centered on its accelerating AI data center business, capacity utilization, and how the company is managing rising input costs.
