Technologies
Analog Computing
This technology is the most advanced method of processing data directly in memory. Computations occur right within the array by utilizing memory cells as adjustable resistors, where input signals are applied as voltage and the result is read as current. This approach is applied to basic matrix operations in neural networks, specifically for multiplying the input vector by the weight matrix. The technology features exceptional efficiency as it eliminates the need to move neural network weight data. At the same time, it provides tremendous speed through the parallel execution of hundreds of thousands of multiply-accumulate operations while processing a single vector. These two characteristics make analog computing the foundation for building powerful and cost-effective computing systems.
In-Memory Computing — Maximizing Capacity and Speed
Traditional computing architectures rely on a memory hierarchy with fast cache near the processor and large but slow DRAM and SSDs. This is due to the inability to fit all data on the chip and the unpredictability of data access times. The in-memory computing approach is based on different principles: we deal with massive volumes of data and know exactly when it will be needed. This is perfectly suited for artificial intelligence tasks, as neural network execution algorithms are deterministic and do not change depending on the input information. Understanding these processes, we purposefully manage data placement, abandoning multi-level caching. Integrating computing elements directly into memory arrays allows information to be processed locally. As a result, the system gains access to vast amounts of memory, with performance and efficiency matching the speed of an ultrafast first-level cache or register files.
Maximizing Performance
Thoughtful architectural design guarantees the highest inference speed through continuous and efficient hardware-level data routing. The main strategic goal of applying such artificial intelligence in defense complexes is to ensure instantaneous target recognition, autonomous threat analysis, and ultra-fast response. In modern air defense systems and unmanned technologies, this uncompromising speed and reliability of local computing is an absolutely critical condition for seizing the initiative.
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