AI glasses could offer accessibility benefits while raising difficult questions about consent, microphone capture, surveillance and bystander privacy.
Author: Naquiyah Maimoon
As the US and China compete over AI, officials and security experts are exploring limited cooperation on incidents, safeguards and technical standards.
AI infrastructure is drawing memory capacity away from mobile devices, putting pressure on smartphone prices, supplies and festive-season discounts in India.
India’s semiconductor push is moving from announcements to deployments: 12 approved projects, three in production, and Semicon 2.0’s ₹1.275 lakh crore to build design, equipment, materials, packaging and talent.
Huawei is shifting focus from single-chip performance to system-scale interconnects, planning two 2027 AI processors and UnifiedBus-powered clusters up to one million NPUs.
OpenAI has published six model-misalignment incidents and a framework for tracking, investigating and publicly reporting concerning AI behaviour as systems gain tool access and autonomy.
Big Tech is investing in custom AI chips to gain control over infrastructure, reduce costs and diversify beyond Nvidia’s dominant GPU ecosystem.
Cisco’s built-in resilience strategy seeks to simplify fragmented security stacks through Cloud Control, Splunk integration, and AI models like Antares.
AI server demand is reallocating memory capacity to HBM and server DRAM, lifting spot and contract prices for PCs and smartphones; Micron plans >$250B US investment through 2035.
DeepSeek is reportedly deploying 160,000 Huawei Ascend 950DT accelerators at a 1GW Inner Mongolia facility, mainly for inference, as Nvidia’s Q2 results underscore AI demand.

