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Syracuse Research Corporation (SRC) has been awarded a $24-million contract by the US Air Force Research Laboratory (AFRL). The contract aims to advance next-generation embedded AI and machine learning (ML) for ground, air, and space warfare platforms of the US military.
The initiative aims to deliver sophisticated instantaneous data processing at the edge, minimising reliance on remote networks. According to the contract, SRC will develop innovative ML algorithms, efficient embedded computing architectures. Also, it will deliver ultra-compact hardware with minimal size, weight, and power consumption.
These systems are built to operate autonomously, providing platforms with on-board sensing, data analysis, and situational awareness. The project enables quicker, more adaptable responses in rapidly evolving operational settings by running complex algorithms locally.
The study will investigate methods to accelerate the training and deployment of ML models in evolving threat situations, reducing the data needed for swift updates. The primary aim is to enhance real-time identification, categorisation, and threat evaluation in situations where communication may be interrupted.
Facilitating Defence Operations
SRC’s newest agreement highlight a longstanding collaboration with the US military. The company gains early access to advanced low-power processors via AFRL, accelerating its development of innovative technologies.
SRC also supports the US Defence Threat Reduction Agency’s (DTRA) Combating Weapons of Mass Destruction initiative under a contract valued at up to $4 billion. Through the initiative, the company creates AI, ML, data science, and software solutions to help DTRA in tackling both current and future threats.
The Role of AI in Modern Warfare
As AI and machine learning technologies advance, they are transforming various elements of warfare. This includes the creation of autonomous weapon systems to their use in strategic decision-making. These innovations are set to change how wars are fought, providing advantages such as improved targeting accuracy and better decision-making. Nonetheless, they also pose significant ethical and legal dilemmas. It raises concerns regarding the maintenance of human oversight and accountability, as well as the potential infringement of global humanitarian law.
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