The Road to Innovation for AI Chips in China
Explore China's AI chip innovation landscape, including market growth, startups, academic advancements, and emerging technologies like reconfigurable computing and neuromorphic chips.
Make the Signal Chain More Intelligent and Efficient with Mixed Signal Processing and In-Memory Computing
Innovative signal processing architecture using mixed-signal and in-memory computing for improved efficiency, reduced power consumption, and lower costs in AI and IoT applications.
Invariance and Equivariance in Brains and Machines
Exploring neural mechanisms for visual perception, this talk proposes innovative approaches to building invariant and equivariant representations, bridging neuroscience and AI for improved machine vision and neurobiological understanding.
Enhanced EEG Data Classification with 3D SNN and Online Learning ESN
Discover a novel hierarchical neural network architecture that combines 3D spiking neurons and Echo state networks for advanced EEG data classification and real-time brain signal interpretation.
AI on the Edge: Post-CMOS Hardware and Device Materials - Session IV
Explore cutting-edge advancements in post-CMOS hardware and device materials for energy-efficient neuromorphic computing and edge AI applications.
AI on the Edge: Neuromorphic Computing - Session 2
Explore neuromorphic computing through research on brain-machine interfaces, electronic skin, hippocampal memory prostheses, and retina-inspired circuits.
All About AI Accelerators - GPU, TPU, Dataflow, Near-Memory, Optical, Neuromorphic & More
Comprehensive exploration of AI accelerator technologies, from GPUs to emerging innovations like neuromorphic computing, discussing their principles, advantages, and future potential in advancing artificial intelligence.
TinyML Talks - The New Neuromorphic Analog Signal Processor Concept and Technology Platform
Explore neuromorphic analog signal processing technology for ultra-low power, high-accuracy neural network implementations in sensors, combining analog and digital components for efficient data processing.
Physics-informed Machine Learning for Robust Pedestrian Detection in Embedded Low-power Systems
Innovative machine learning algorithm for efficient pedestrian detection in urban areas using neuromorphic sensors, combining physical motion models for accurate real-time tracking day and night.
Photonic Quantum Computing: A Bright Future for Many Applications
Explore photonic quantum computing architectures, applications, and future challenges. Discover quantum machine learning, reinforcement learning, and secure computing in quantum networks.
The Future of Computing - What to Expect in the Next Decade
Explore emerging technologies shaping computing's future, from AI-driven innovations to quantum and neuromorphic computing, and their potential impact on businesses and space manufacturing.
Neuromorphic Language Understanding - Deep Neural Networks for Low-Power Language Processing
Explore recurrent neural networks for language processing and their adaptation to ultra-low power neuromorphic hardware, bridging artificial intelligence with biologically-inspired models of cognition.
Neuromorphic Computing - An Overview
Explore neuromorphic computing principles and applications with expert Ramashish Gaurav, gaining insights into brain-inspired computational models and their potential impact on AI.
Information Processing with Photonic Hardware Neural Networks
Explore photonic hardware neural networks for advanced information processing, focusing on cutting-edge applications and technological advancements.
Delay-Based Photonic Reservoir Computing - Phase Encoding in Long vs. Short Cavity Reservoirs
Explore phase encoding in long vs. short cavity reservoirs for delay-based photonic reservoir computing, comparing performance and efficiency.
Online Learning Strategies for Optical Neural Networks and Photonic Circuits
Explore advanced strategies for implementing online learning in optical neural networks and photonic circuits, enhancing computational efficiency and performance.
Neuromorphic Computing for Industry 5.0
Explore neuromorphic computing's role in Industry 5.0, revolutionizing automation and human-machine collaboration. Learn how brain-inspired technology enhances efficiency, creativity, and sustainability in smart industries.
Neuromorphic Computing
Explore neuromorphic computing with Ivan Schuller, discussing brain-like machines, computational limits, energy efficiency, and the future of AI technology.
Analog Computation-in-Memory 향 시냅스 소자의 가중치 산포 최적화 연구
Dive into 차세대 메모리 반도체 기술과 ACIM의 핵심 요소, 특히 시냅스 가중치 최적화를 통한 에너지 효율적인 AI 엣지 디바이스 구현 방안을 탐구합니다.
Breaking Resistance in Computer Science and Engineering
Explore innovative approaches to overcoming resistance in computer science and engineering with insights from a leading expert at the University of Michigan.
MemComputing: When Memory Becomes a Computing Tool - Lecture 37
Explore MemComputing, a revolutionary approach where memory acts as a computing tool, presented by Prof. Massimiliano Di Ventra from UC San Diego.