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MIT Technology Review’s EmTech Future conference delves into the five pillars for building scalable AI systems in a heavily regulated environment—data, engineering, platforms, business models, and governance—and underscores how trustworthy, responsible deployment can transform emerging capabilities such as agentic AI into sustainable investment value.
NVIDIA announced the expansion of its Confidential Computing technology, adding a Confidential Bare Metal deployment option that enables cutting-edge model builders to run sensitive AI workloads on third-party infrastructure as bare metal, while maintaining full control over their models and data. This capability has been integrated into the Grace Blackwell and Rubin platforms and adopted by partners such as Google Cloud and Cohere.
At the I/O 2026 conference, Google’s research team unveiled a series of AI systems aimed at scientific discovery, climate forecasting, healthcare, and edge computing, including the multimodal research assistant Gemini for Science, WeatherNext for hurricane early warning, the self‑building operating system platform Antigravity 2.0, and the open‑source quantum chip Willow, among others. All these developments are experimental demonstrations, with no independent validation or regulatory approval yet.
