Pentagon Plans AI Training on Classified Data as Torc Expands Autonomous Truck Testing to Michigan
The Pentagon is planning to establish secure environments that allows AI companies to train military-specific versions of their models on classified data, according to MIT Technology Review. AI models, such as Anthropic’s Claude, are currently used to analyze targets in Iran and other classified settings.
Torc Robotics and Daimler Truck are expanding autonomous truck testing to public roads in Michigan using the latest-generation Daimler Truck autonomous chassis based on the Freightliner Cascadia (via a company press release). This expansion, building on existing operations in Dallas-Fort Worth and Blacksburg, Virginia, represents a significant advancement for Torc.
Virginia Tech researchers, in collaboration with Procon Consulting, are developing a coordinated team of robots, drones, and technology to tackle challenges in the construction industry, where over 75% of projects face delays within a $2.1 trillion market, according to the Associated General Contractors of America.
Lecturers at four local universities are using AI tools to grade students’ work, aiming to improve efficiency, though accuracy concerns remain according to various reports.
Recent USPTO memoranda may signal a potential cause for optimism for inventors seeking AI-based patent applications following the Supreme Court's Alice decision, which made securing software-related patents challenging (per various legal blogs referencing Alice Corp. Pty. Ltd. v. CLS Bank Int’l, 573 U.S.)
The Identity Verification market is projected to see strategic insights, offer the highest revenue, secure future growth and emerging opportunities into 2030, reports Just another WordPress site.
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