June 30, 2024 | International, Security
May 21, 2020 | International, C4ISR
This platform will help train AI algorithms for the military
After landing a contract with the U.S. Air Force in April, California-based company Labelbox announced May 20 it is making its artificial intelligence training data platform available more widely to the federal government and intelligence community.
Labelbox offers a software platform by the same name that allows development teams to manage the data used to train machine learning algorithms. For instance, in order for a machine learning tool to successfully begin identifying missile launchers in satellite imagery, it needs to be fed hundreds — or even millions — of pre-labeled pictures identifying the objects it needs to identify. The more accurate training data is fed to the algorithm, the better it works. Some government machine learning projects need to process petabytes of data per day, the company says, a flow of data that can be overwhelming.
“Labelbox is an integrated solution for data science teams to not only create the training data but also to manage it in one place,” said CEO Manu Sharma in a statement. “It's the foundational infrastructure for customers to build their machine learning pipeline.”
The platform can be used in the cloud or on-premises, allowing data science teams to work together across agencies or locations, the company claims.
In April, the company announced it had won an Air Force Innovation Hub Network (AFWERX) Phase 1 Small Business Innovation Research contract to conduct feasibility studies on how their platform could integrate with ongoing Air Force efforts.
Now, the company is partnering with Carahsoft Technology Corp. to make their platform more widely available to the federal government and the intelligence community. Carahsoft will be able to provide the platform to interested agencies through its NASA Solutions for enterprise-wide procurement contracts and reseller partners, the company announced May 20.
On the same subject
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November 30, 2020 | International, C4ISR
US Army solicits bids for new cryptographic technologies
by Carlo Munoz The US Army is soliciting industry proposals to develop new cryptographic technologies, designed to ensure secure and compartmentalised communication capabilities in the wake of rapidly advancing cyber warfare and electronic warfare threats to those operations. The proposals being sought by the service's Program Manager Tactical Radios (PM TR), under Program Executive Office Command, Control, Communicate – Tactical (PEO C3T), will assist in the development of the advanced variant of the Next Generation Load Device-Medium (NGLD-M). Army officials anticipate developing and fielding a maximum of 265,000 NGLD-M units, at an estimated cost of USD850 million, according to the service's 18 November request for proposals (RFP). The new NGLD-M systems will replace the army's more than decade-old fleet of Simple Key Loaders (SKLs), which are designed to transfer, issue, fill, and manage electronic cryptographic keys to highly sensitive End-Cryptographic Units (ECUs), used by combat units to transmit and receive secure communications transmissions. Designed to meet the Type 1 cryptologic standards for secured data transmissions established by the National Security Agency (NSA), the NGLD-M will provide “the functionality of legacy fill devices while providing network connectivity to support Over the Network Key (OTNK) distribution”, the RFP stated. The new NGLD-M will also provide end users with a “reprogrammable crypto subcomponent to meet future modernisation requirements”, it added. “The NGLD-M will enable delivery of the strongest NSA-generated cryptographic keys to tactical, strategic, and enterprise network systems operating from secret to the highest levels of security classification,” according to a PEO C3T statement, issued shortly after the RFP's release. https://www.janes.com/defence-news/news-detail/us-army-solicits-bids-for-new-cryptographic-technologies
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September 19, 2024 | International, Security
Joint ODNI, FBI, and CISA Statement | CISA