Mark Tullis
Mark is Co-founder/Editor of TechBuzz News. From Ogden, UT, Mark attended WSU, BYU, and Tufts. He has been involved in tech, media, publishing since the 80s.
SageCreek AI provided an executive briefing on AI agents and workflow transformation. Hosted by Pelion (Draper, UT) at their stylish top-floor HQ, the event explored real-world ROI, generative AI strategies, and behavioral frameworks with Nisha Advani (Chicago) and Dr. Barclay Burns (UVU).
by Mark Tullis
The U of U Neurotech Showcase on February 10 will convene researchers, industry, investors, and policymakers for live demonstrations and networking. It will also feature technology from Jacob A. George’s lab, supported by a new Meta research partnership.
by Mark Tullis
Utah lawmakers are advancing an AI transparency bill (HB 286) requiring major developers to publish safety plans, report incidents, and protect whistleblowers, extending the state’s child-focused tech regulation approach to AI governance.
by Mark Tullis
HydroBlok (Draper, UT), innovating construction with lightweight, water resistant, energy-efficient panels, will host an open house February 4 during Utah Tech Week—showcasing faster builds, cost savings, and healthier, more sustainable homes.
by Mark Tullis
47G’s annual Utah Aerospace & Defense Day (Salt Lake City, UT) convenes 50-plus exhibitors, live drone demos, and industry leaders at the Capitol, spotlighting AI, robotics, space, and advanced manufacturing innovation, statewide ecosystem impact.
by Mark Tullis
UVU hosts a free AI Agent Behavioral Science Conference examining real-world use, research, and ethics of AI agents, featuring a healthcare informatics keynote, January 30.
by Mark Tullis
Utah Valley University dedicated the 197,000-square-foot Scott M. Smith College of Engineering & Technology building, providing hands-on learning, advanced labs, and workforce-ready education for Utah’s growing engineering and technology demand.
by Mark Tullis
Resolve Integration Technologies (Roy, UT) uses DOS 2.0™ and the 10th Floor™ interlock to enforce deterministic, auditable AI decision-making, bridging probabilistic outputs with physical safety and post-quantum trust.
by Mark Tullis