Tagged articles

neuromorphic

5 articles · Page 1 of 1

Oct 15, 2025 · Fundamentals

Turning Nobel‑Prize MOF into a Liquid‑State Chip: The Key to Future Computing

A largely Chinese research team has fabricated a nanoscale liquid‑state chip using metal‑organic framework (MOF) material, demonstrating transistor‑like proton conduction, ion‑selective switching, and short‑term memory effects that mimic neuronal behavior, suggesting a new pathway toward neuromorphic computing despite remaining stability and cost challenges.

MOFfluidic chipion transistor

0 likes · 10 min read

Turning Nobel‑Prize MOF into a Liquid‑State Chip: The Key to Future Computing

Architects' Tech Alliance

Apr 19, 2022 · Artificial Intelligence

Overview of AI Chip Development, Architectures, and Market Trends in China (2022)

The article provides a comprehensive overview of AI chip technology, describing the dependence on mathematical models and semiconductor integration, classifying chips by architecture (GPU, FPGA, ASIC, SoC, brain‑like), deployment (cloud, edge, terminal), and outlining current challenges, market trends, and future research directions such as in‑memory and neuromorphic computing.

AI chipASICFPGA

0 likes · 11 min read

Overview of AI Chip Development, Architectures, and Market Trends in China (2022)

Architects' Tech Alliance

Dec 29, 2019 · Artificial Intelligence

Overview of AI Chip Development Paths: CPU, GPU, FPGA, ASIC, and Neuromorphic Chips

The article reviews the evolution of artificial‑intelligence hardware, comparing traditional CPUs with parallel GPUs, reconfigurable FPGAs, fully custom ASICs, and emerging neuromorphic chips, highlighting their architectures, performance trade‑offs, power consumption, and current industry adoption.

AI chipsASICCPU

0 likes · 12 min read

Overview of AI Chip Development Paths: CPU, GPU, FPGA, ASIC, and Neuromorphic Chips

Architects' Tech Alliance

Oct 19, 2019 · Artificial Intelligence

Overview of AI Chip Development Paths: CPU, GPU, FPGA, ASIC, and Neuromorphic Designs

The article surveys the evolution of artificial‑intelligence chips, comparing traditional CPU architectures with parallel accelerators such as GPUs and FPGAs, fully custom ASICs, and emerging neuromorphic chips, highlighting their structures, performance trade‑offs, and application scenarios.

AI chipsASICCPU

0 likes · 11 min read

Overview of AI Chip Development Paths: CPU, GPU, FPGA, ASIC, and Neuromorphic Designs

Architects' Tech Alliance

Dec 11, 2018 · Artificial Intelligence

Overview of AI Chip Development Paths: CPU, GPU, FPGA, ASIC, and Neuromorphic Chips

The article reviews the two main development routes for artificial intelligence chips—traditional architectures that enhance CPU, GPU, and FPGA performance and emerging neuromorphic designs like IBM TrueNorth—detailing their structures, advantages, limitations, and industry adoption.

AI chipsASICCPU

0 likes · 14 min read