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News articleIEEE Spectrum

Xiangyi Cheng Is Bringing AR to Classrooms and Hospitals

View original at spectrum.ieee.org
IEEE Spectrum - Technical Title: Xiangyi Cheng Is Bringing AR to Classrooms and Hospitals Date: 2026-02-28 19:00 Source: https://spectrum.ieee.org/xiangyi-cheng-ar-classrooms-hospitals <img src="https://spectrum.ieee.org/media-library/xiangyi-cheng-pointing-at-a-robotic-arm-in-a-lab-setting-next-to-her-is-a-young-adult…
Opening lines of the source · IEEE Spectrum · short snapshot — read the full document at the original

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  • Everyone's hand is different, so surgery should be personalized

    80% confidence

  • Students should focus on mathematics because it's the foundation behind everything in engineering

    80% confidence

  • The contrast between her parents' logical and literary careers helped her understand herself early and feel drawn to STEM

    80% confidence

  • IEEE is one of the few places that truly welcomes research across boundaries

    80% confidence

  • The first ICRA conference was a turning point that helped her realize she belonged in research

    80% confidence

  • The students who succeed don't give up easily

    80% confidence

  • The ICRA paper acceptance gave her confidence and showed she could contribute to the field

    80% confidence

  • AI is not always right and perfect, and students need to be able to judge whether answers are correct

    80% confidence

  • She wasn't thinking about a Ph.D. and wasn't sure research was for her when she arrived at Case Western

    80% confidence

  • AI can give you ideas, but it should never lead your thinking

    80% confidence

  • Witnessing student transformation from reserved first-years to confident seniors is why she teaches

    80% confidence

  • Her math teacher's approach emphasized reasoning over punishment

    80% confidence

  • We should use AI tools but never let them replace our judgment

    80% confidence

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Late-September 2026 brought a dense run of clinical readouts: Novo Nordisk's CagriSema data at EASD, Lilly's ADtouch results for EBGLYSS, and Merck's tulisokibart Phase 2b result. Lilly's $2.9B Merida Biosciences acquisition and the 2026-11-14 FDA PDUFA date for ivonescimab sit alongside these as the main deal and regulatory events. AI-designed drugs such as rentosertib, and speculative AI-linked trial ventures such as QAIAx, are moving from hype toward clinical validation. Broader AI-sector regulatory and legal friction (Tesla Cybercab probe, xAI Minnesota ruling, OpenAI lawsuits) shows rising scrutiny that could spill into AI-driven healthcare.
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Satellite-Terrestrial Network Integration Acceleration
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Apple Inc.
The observation date (2025-12-27) precedes Q1 2026, making it logically impossible to have actual Q1 2026 cash data at that point. Q1 2026 would not end until March 31, 2026. Additionally, the magnitude of the difference ($45.3B vs $132.42) is implausibly large even as a normal quarterly change for Apple. While different fiscal periods can show different values, the timing relationship here suggests a data integrity issue rather than legitimate period-over-period variation.
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