Skylark Labs Forms Defense Advisory Board with Military Leaders
Skylark Labs has announced the formation of a distinguished Defense Advisory Board, composed of former military leaders and defense technology experts, to guide the company's strategic growth in the defense and security sectors announced in a press release. This board aims to provide Skylark Labs with insights as it expands its footprint in the national security space.
The advisory board includes notable members such as Lt. Gen. Michael S. Groen (Ret.), former US Marine Corps Commander of JAIC, and Colonel Brad Boyd (Ret.), former U.S. Army Chief of Staff at US Army HQ. Their combined expertise is expected to be instrumental in scaling Skylark Labs' adaptive AI solutions to address pressing challenges in defense and security operations.
Skylark Labs' technologies, such as the ARIES system for drone detection and the Scout MK II AI Tower for border security, have already demonstrated significant value in defense applications. The advisory board will focus on accelerating Skylark Labs' go-to-market strategy, navigating defense procurement, and identifying strategic partnership opportunities.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Defense AI Brief or Daily AI Brief.
Also, consider following us on social media:
More from Defense
Oct 16 Saab Completes Sea Trials of Large Uncrewed Underwater Vehicle Oct 15 Bridge Defense Wins Software Agreement With Up to $63 Million in Initial Capacity Oct 15 Ukrainian Drones Hit Sberbank Data Center Planned for Supercomputer Oct 15 US Air Force Extends Use of PTC Servigistics Oct 15 Ukrainian Strikes Disrupt Yandex Services Across Central AsiaDefense AI Brief
Your weekly intelligence briefing on the technology shaping modern warfare and national security.
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
Armor Founder Calls for Governed Enterprise AI at GovWare
Thread AI and US Army Develop AI Research Tool for Fire Control
Skydio Unveils F10 Fixed Wing Drone and Command Software
ARCYN Defense Joins MassChallenge Security Program
Air Adds Agentic Workflow Tools to Defense Readiness Platform
Daily AI Brief: the AI news that matters, in your inbox.