category: AI/ML/DL

category: IoT, Security & Automotive

Applying Machine Learning to EDA, FPGA Design Automation Tools
By Technical Paper Link - 11 Oct, 2023 - Comments: 0

A technical paper titled “Application of Machine Learning in FPGA EDA Tool Development” was published by researchers at the University of Texas Dallas. Abstract: "With the recent advances in hardware technologies like advanced CPUs and GPUs and the large availability of open-source libraries, machine learning has penetrated various domains, including Electronics Design Automation (EDA). E... » read more

LLM-Aided AI Accelerator Design Automation (Georgia Tech)
By Technical Paper Link - 28 Sep, 2023 - Comments: 0

A technical paper titled “GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models” was published by researchers at Georgia Institute of Technology. Abstract: "The remarkable capabilities and intricate nature of Artificial Intelligence (AI) have dramatically escalated the imperative for specialized AI accelerators. Nonetheless, designing these accele... » read more

LLM-Assisted Generation Of Formal Verification Testbenches: RTL to SVA (Princeton)
By Technical Paper Link - 28 Sep, 2023 - Comments: 0

A technical paper titled “From RTL to SVA: LLM-assisted generation of Formal Verification Testbenches” was published by researchers at Princeton University. Abstract: "Formal property verification (FPV) has existed for decades and has been shown to be effective at finding intricate RTL bugs. However, formal properties, such as those written as System Verilog Assertions (SVA), are time-con... » read more

Neuromorphic Hardware Accelerator For Heterogeneous Many-Accelerator SoCs
By Technical Paper Link - 28 Sep, 2023 - Comments: 0

A technical paper titled “SpikeHard: Efficiency-Driven Neuromorphic Hardware for Heterogeneous Systems-on-Chip” was published by researchers at Columbia University. Abstract: "Neuromorphic computing is an emerging field with the potential to offer performance and energy-efficiency gains over traditional machine learning approaches. Most neuromorphic hardware, however, has been designed wi... » read more

Improving ML-Based Device Modeling Using Variational Autoencoder Techniques
By Technical Paper Link - 27 Sep, 2023 - Comments: 0

A technical paper titled “Improving Semiconductor Device Modeling for Electronic Design Automation by Machine Learning Techniques” was published by researchers at Commonwealth Scientific and Industrial Research Organisation (CSIRO), Peking University, National University of Singapore, and University of New South Wales. Abstract: "The semiconductors industry benefits greatly from the integ... » read more

Photonic-Electronic SmartNIC With Fast and Energy-Efficient Photonic Computing Cores (MIT)
By Technical Paper Link - 19 Sep, 2023 - Comments: 0

A technical paper titled “Lightning: A Reconfigurable Photonic-Electronic SmartNIC for Fast and Energy-Efficient Inference” was published by researchers at Massachusetts Institute of Technology (MIT). Abstract: "The massive growth of machine learning-based applications and the end of Moore's law have created a pressing need to redesign computing platforms. We propose Lightning, the first ... » read more

3D-Integrated Neuromorphic Hardware With A Two-Level Neuromorphic “Synapse Over Neuron” Structure
By Technical Paper Link - 19 Sep, 2023 - Comments: 0

A technical paper titled “3D Neuromorphic Hardware with Single Thin-Film Transistor Synapses Over Single Thin-Body Transistor Neurons by Monolithic Vertical Integration” was published by researchers at Korea Advanced Institute of Science and Technology (KAIST) and SK hynix. Abstract: "Neuromorphic hardware with a spiking neural network (SNN) can significantly enhance the energy efficiency... » read more

Design Optimization Of Split-Gate NOR Flash For Compute-In-Memory
By Technical Paper Link - 19 Sep, 2023 - Comments: 0

A technical paper titled “Design Strategies of 40 nm Split-Gate NOR Flash Memory Device for Low-Power Compute-in-Memory Applications” was published by researchers at Seoul National University of Science and Technology and University of Seoul. Abstract: "The existing von Neumann architecture for artificial intelligence (AI) computations suffers from excessive power consumption and memo... » read more

Hardware Security for Silicon Photonic-Based AI Accelerators
By Technical Paper Link - 19 Sep, 2023 - Comments: 0

A technical paper titled “Integrated Photonic AI Accelerators under Hardware Security Attacks: Impacts and Countermeasures” was published by researchers at Ecole Polytechnique de Montreal and Colorado State University. Abstract: "Integrated photonics based on silicon photonics platform is driving several application domains, from enabling ultra-fast chip-scale communication in high-perfor... » read more

Neuromorphic Artificial Synaptic Device Combining Memristor Arrays With Copper Iodide
By Technical Paper Link - 13 Sep, 2023 - Comments: 0

A technical paper titled “Charge-Mediated Copper-Iodide-Based Artificial Synaptic Device with Ultrahigh Neuromorphic Efficacy” was published by researchers at University of Glasgow, City University of Hong Kong, and Hong Kong Metropolitan University. Abstract: "In the realm of artificial intelligence, ultrahigh-performance neuromorphic computing plays a significant role in executing multi... » read more

← Older posts Newer posts →

  • Sponsors

About

Navigation

Connect With Us

Copyright ©2013-2025 SMG   |  Terms of Service  |  Privacy Policy