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Researchers from KAUST and Compumacy for Artificial Intelligence Solutions have released “Joint Hardware-Workload Co-Optimization for In-Memory Computing Accelerators”.
Abstract
“Software-hardware co-design is essential for optimizing in-memory computing (IMC) hardware accelerators for neural networks. However, most exi...
Researchers from University of Illinois Urbana-Champaign, UCLA, Stanford University, Nvidia, Google, et al. have released “AI+HW 2035: Shaping the Next Decade”.
Abstract
“Artificial intelligence (AI) and hardware (HW) are advancing at unprecedented rates, yet their...
Think tank IAPS’ report on AI integrity attacks contends that advanced AI systems must be protected from hidden tampering, backdoors, or unauthorized changes that could alter their behavior or outputs, especially when AI adoption is scaling rapidly, with over 6...
As AI and high‑performance computing (HPC) systems scale from racks to entire data centers, the network has become both a performance enabler and a growing attack surface. Modern AI fabrics interconnect thousands of GPUs and CPUs, move massive volumes of sensitive model data, and increasingly rely on direct memory access rather than host‑mediated communication. These trends e...
The automotive and industrial markets are undergoing rapid transformation, driven by Advanced Driver Assistance Systems (ADAS) adoption, Industry 4.0 automation, and the rollout of 5G infrastructure. These trends are driving an unprecedented demand for edge AI capabilities and connectivity, with the global Edge AI IC market projected to grow at a 34.7% CAGR and reach $340B by...