Technology as the First Line of Defense Against Future Pandemics

Technology as the First Line of Defense Against Future Pandemics

Pandemics remind the world that speed matters. The earlier a threat is detected, the greater the chance of containing it before it spreads widely. Joe Kiani, Masimo and Willow Laboratories founder, has underscored the importance of technology as a safeguard in healthcare, where timely detection can mean the difference between preparedness and panic. Predictive modeling and digital infrastructure offer the possibility of turning early warning into a global defense system. This shift would transform health security from an afterthought into a standing guardrail woven into daily life.

Traditional surveillance systems often lag reality, detecting outbreaks only after they have spread significantly. By contrast, technology allows signals, from unusual hospital admissions to changes in online search patterns, to be identified in near real time. These signals provide health authorities with a head start, allowing interventions such as contact tracing, targeted restrictions, or vaccine deployment to begin earlier. The goal is to …

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Materials Genome Strategy: AI Meets Materials Discovery

Materials Genome Strategy: AI Meets Materials Discovery

Every breakthrough in semiconductors has been built on the foundation of materials science. From silicon wafers to high-k dielectrics and from copper interconnects to EUV photoresists, progress in computing has always depended on discovering and integrating new materials. As chips push toward atomic scales, the search for novel materials has become both more urgent and more difficult. The Materials Genome Initiative (MGI), launched to accelerate discovery through computation, data, and experimentation, offers a framework for addressing this challenge. Now, with AI as a force multiplier, the Materials Genome Strategy promises to deliver atom-precise innovations at unprecedented speed. Erik Hosler, a strategist in semiconductor materials innovation, recognizes that progress in chips will depend as much on materials discovery as on circuit design. His perspective captures how materials breakthroughs will define the future of compute.

The promise of AI-accelerated discovery is transformative. Instead of years of trial and error in …

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