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Adnan Masood

Chief AI Architect at UST
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Engineer, Researcher, and a forward thinker who is passionate about developing highly innovative breakthrough technologies, and has the endurance and resilience to make innovation and delivery happen. A thought leader, Dr. Masood’s expertise includes Scalable Enterprise Architecture, Machine Learning, and Cloud platforms especially Microsoft Azure and AWS. Being a Microsoft's Most Valuable Professional for Data Platforms, Adnan has extensive experience in developing secure, PCI Compliant FinTech solutions, with publications around functional programming, machine learning, and application security.

Employment
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  • UST
    Chief AI Architect
  • State-Level AI Regulation: A New Era of Innovation and Compliance
    Adnan highlights that state-level AI regulation could accelerate innovation while ensuring consumer protection. He notes, "States move faster than Washington," with unique standards emerging. Companies may face increased compliance costs, but aligning with stringent states could ease future expansions. Historical parallels suggest states will pioneer, with federal standards to follow.
  • Federal Government's Quantum Preparedness: A B Minus
    Dr. Masood rates the government's preparedness as a "B minus," noting that while NIST has set quantum-safe standards, implementation lags. He warns of adversaries exploiting cryptographic vulnerabilities and suggests prioritizing high-value data, pooling resources, and expanding education to enhance readiness. The urgency is underscored by the potential for a quantum computer to break current encryption within 10-20 years.
  • xAI's $10B Capital Raise: A New Model for AI Funding?
    Adnan explains xAI's $10B raise: "$5B in secured notes and loans, $5B in strategic equity." This hybrid model, leveraging GPUs and cash flow as collateral, may set a precedent for AI funding. He highlights xAI's unique integration with social networks and the broader trend of AI infrastructure expansion, emphasizing the need for substantial investment in data centers to compete at the top.
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  • New semiconductors created with AI could enable faster computing speeds or more powerful artificial intelligence algorithms. The benefits of new materials include improved performance, lighter weight, and increased strength. AI can help discover lighter and stronger materials by analyzing data from experiments and simulations, and by optimizing material compositions through simulation of trial-and-error methods, instead of creating these which can take forever.

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