The numbers tell a striking story. Forty-three percent of companies now use AI for hiring—nearly double last year's 26%. Yet ...

Artificial intelligence has been bottlenecked less by raw compute than by how quickly models can move data in and out of memory. A new generation of memory-centric designs is starting to change that, ...

Instagram’s December 2025 algorithm update did not introduce an entirely new system. Instead, it formalized a direction the ...

AI can help design AI systems: automating architecture choices, discovering algorithms, and optimizing hardware ...

Abstract: In the field of fuzzy inference, the universal triple I algorithm integrated the CRI (Compositional Rule of Inference) algorithm with the triple I algorithm. Later the triple I algorithm was ...

Abstract: This article introduces a scalable distributed probabilistic inference algorithm for intelligent sensor networks, tackling challenges of continuous variables, intractable posteriors, and ...

Artificial intelligence (AI) involves intense computing and tons of data. The computing may be performed by CPUs, GPUs, or dedicated accelerators, and while the data travels through DRAM on its way to ...

The widespread integration of Internet of Things (IoT) technology in the military domain has brought significant attention to the security concerns surrounding the Internet of Battlefield Things (IoBT ...

Large language models (LLMs) have demonstrated remarkable performance across multiple domains, driven by scaling laws highlighting the relationship between model size, training computation, and ...

Transformer-based Large Language Models (LLMs) face significant challenges in efficiently processing long sequences due to the quadratic complexity of the self-attention mechanism. This will increase ...