Bit-Line Computing for CNN Accelerators Co-Design in Edge AI Inference

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Bit-Line Computing for CNN Accelerators Co-Design in Edge AI Inference

Chat with Graph Search

Combining physics-based and data-driven models: advancing the frontiers of research with scientific machine learning

Exploring High-Performance and Energy-Efficient Architectures for Edge AI-Enabled Applications

MetaCap: Meta-learning Priors from Multi-view Imagery for Sparse-View Human Performance Capture and Rendering

2D Nanosystems: Applications of 2D Semiconductors for In-Memory Computing

Directly optimizing for synthesizability in generative molecular design using retrosynthesis models

Chaosity: Understanding Contemporary NUMA-architectures

MammAlps: A multi-view video behavior monitoring dataset of wild mammals in the Swiss Alps

How to Achieve Large-Area Ultra-Fast Operation of MoS 2 Monolayer Flash Memories?

On the conversational persuasiveness of GPT-4

Overflow-free compute memories for edge AI acceleration

Collaborative AI Agents in the Era of Large Language Models

HetCache: Synergising NVMe Storage and GPU acceleration for Memory-Efficient Analytics

Enhancing skin lesion classification: a CNN approach with human baseline comparison

Building Chips Faster: Hardware-Compiler Co-Design for Accelerated RTL Simulation

Harnessing deep learning to detect bronchiolitis obliterans syndrome from chest CT

Acceleration of Control Intensive Applications on Coarse-Grained Reconfigurable Arrays for Embedded Systems

GRADE: Generating Realistic and Dynamic Environments for robotics research with Isaac Sim

A 16-bit Floating-Point Near-SRAM Architecture for Low-power Sparse Matrix-Vector Multiplication

On the added value of sequential deep learning for the upscaling of evapotranspiration

Post-Moore's Law Fusion: High-Bandwidth Memory, Accelerators, and Native Half-Precision Processing for CPU-Local Analytics