Uber aims to expand its AV Labs program by outfitting its millions of human-driven cars with sensors to collect real-world data for autonomous vehicle (AV) companies and AI model training. This approach could provide vast, diverse data sets that AV developers currently lack due to high costs of deploying their own fleets. Uber is building an "AV cloud" to share labeled sensor data with partners and allow them to test models in "shadow mode" on real trips. The company sees this as a way to democratize AV data and maintain relevance in the evolving AV industry, despite having abandoned its own self-driving car ambitions.
Uber has put on hold its plans to launch services in five European countries, including Austria, Norway, and Greece, despite earlier ambitions to expand into seven new markets in 2026. The company cited the success of recent launches in Finland and D...
Software stocks are becoming more attractive as investors move capital away from semiconductors, which face reduced demand due to inefficient AI token usage and cost worries. This shift benefits established software companies with strong fundamentals...
