As AI agents start to move faster than software made for human users, both digital tooling and silicon architecture need to be redesigned to reduce latency and power bottlenecks, according to the chie ...

Abstract: Compute-in-Memory (CiM) has emerged as a promising solution to address the memory bottleneck of von Neumann architectures. While SRAM-based CiM has seen significant progress due to mature ...

Custom CUDA kernels for accelerating 1.58-bit ternary LLM inference with 2:4 structured sparsity on consumer Ampere GPUs. Exploits both ternary arithmetic (no multiplies) and hardware sparse tensor ...

Abstract: Network sparsity or pruning is an extensively studied method to optimize the computation efficiency of deep neural networks (DNNs) for CMOS-based accelerators, such as FPGAs and GPUs. Though ...

There seems to have been a mistake, and Samsung’s Galaxy S26 base model and Ultra variant are shipping with a display capable of 8-bit color, instead of 10-bit. This was always supposed to happen, but ...

Large Language Models (LLMs) ushered in a technological revolution. We breakdown how the most important models work. Large Language Models (LLMs) ushered in a technological revolution. We breakdown ...