Blue Water Autonomy Expands with New D.C. Office and Key Hire
Blue Water Autonomy, Inc. has opened a new office in Washington, D.C., and hired Ryan Maatta, a former engineer from DARPA's NOMARS program, to accelerate its autonomous ship development efforts. This expansion is part of the company's strategy to enhance its collaboration with the U.S. Navy, as stated in a press release.
The new office in the capital aims to support the company's growth and improve accessibility for its Navy clients. The move comes amid increased focus on unmanned ship technology, with the latest defense budget allocating $2.1 billion for Medium Unmanned Surface Vessel funding.
Ryan Maatta, who joins the team with extensive experience in marine engineering, previously held a senior technical leadership role on the USX-1 Defiant, a vessel developed for DARPA's No Manning Required Ship (NOMARS) Program. His addition follows the recent hiring of COO Tim Glinatsis, formerly of General Dynamics NASSCO and Bath Iron Works, further strengthening Blue Water Autonomy's leadership team.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Robotics Brief or Daily AI Brief.
Also, consider following us on social media:
More from Robotics
Oct 16 Rareview and Tuttle Launch Humanoid Robotics ETF HOID Oct 16 Element to Manage Waymo's Toronto Fleet for 2028 Launch Oct 16 RoboParty launches open source RP1 humanoid robot Oct 16 Jodell Robotics Unveils Dexterous Hand and Tactile Sensors Oct 16 Saab Completes Sea Trials of Large Uncrewed Underwater VehicleRobotics Brief
Weekly coverage of AI-driven robotics advances in industrial automation, autonomous vehicles, and robotic systems.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Saab Completes Sea Trials of Large Uncrewed Underwater Vehicle
Shield AI and US Government Commit $400 Million to X-BAT
Red Queen Bio Names Ian Watson Chief Government Affairs Officer
AutonomyAI Launches Discover Mode for Product Delivery
DXC Partners With LOXO on Autonomous Logistics Deployments
Daily AI Brief: the AI news that matters, in your inbox.