EfficientML.ai: Introduction to Efficient Machine Learning - Lecture 1
Explore efficient machine learning techniques and their applications in this introductory lecture from MIT's EfficientML course, led by Prof. Song Han.
Maya 3D Modeling for Beginners - Hard Surface Modeling Fundamentals
Master essential Maya 3D modeling techniques, from setting up reference images to creating clean edge flow and finished hard surface models. Includes practical workflows applicable across multiple 3D modeling platforms.
User-Defined Functions in Relational Databases - Challenges and Promising Solutions Based on YeSQL
Explore the challenges and solutions of User-Defined Functions in relational databases, focusing on YeSQL's innovative approach to seamlessly integrate Python UDFs with enhanced performance and functionality.
Online Learning for Network Resource Allocation
Explore advanced online learning techniques for optimizing network resource allocation, focusing on caching strategies, inference delivery networks, and fairness in unpredictable environments.
Choreographic Programming: Its Essence, Beauty, and Necessity - CP 2024
Explore choreographic programming's essence, beauty, and necessity. Delve into its applications in cloud computing, microservices, concurrency, and digital democracy with Professor Fabrizio Montesi.
AI on the Edge - Advancing Edge Computing and Next-Generation Networks
Explore AI's role in advancing edge computing and next-gen networks. Discover opportunities for AI on the edge in DOD Microelectronics Commons Program.
Functional Tokens for On-device Multimodal Models - Nexa AI
Explore innovative functional tokens for on-device multimodal AI models, enhancing accuracy and efficiency in function calling tasks while achieving remarkable performance across languages and modalities.
MCUNet: TinyML on Microcontrollers - Lecture 10
Explore MCUNet for TinyML on microcontrollers, covering efficient neural architecture design and deployment strategies for resource-constrained devices.
On-Device Training and Transfer Learning - Lecture 19
Explore on-device training and transfer learning techniques for efficient machine learning, focusing on practical applications and cutting-edge methodologies.
On-Device Training and Transfer Learning - Lecture 19
Explore on-device training and transfer learning techniques for efficient machine learning, focusing on practical applications and cutting-edge methodologies.
EfficientML.ai: Introduction to Efficient Machine Learning - Lecture 1
Explore efficient machine learning techniques and their applications in this introductory lecture from MIT's EfficientML course.
EfficientML.ai: Introduction to Efficient Machine Learning - Lecture 1
Explore efficient machine learning techniques and their applications in this comprehensive introduction to EfficientML.ai from MIT's Prof. Song Han.
From the Cloud to the Edge: The Future of Language Models - tinyML Talk
Explore the shift towards edge computing and Small Language Models, addressing cost, latency, and security concerns in AI applications.
Heterogeneous Multi-Core Systems for Efficient Edge Machine Learning
Explore heterogeneous multi-core systems for efficient embedded ML, addressing challenges in core optimization, workload mapping, and data sharing. Gain insights from KULeuven MICAS research.
Navigating Failures in Pods with Devices: Challenges and Solutions
Explore common challenges and solutions for managing device-enabled pods in Kubernetes, focusing on GPU allocation, network cards, and memory placement for AI/ML workloads.
Nothing but NATS - Building Cloud-to-Edge Native Applications
Discover how NATS simplifies cloud-to-edge native app development by eliminating complex tool stacks while enabling powerful distributed systems with minimal code and effort.
Kubernetes on Multisites - A Story About Stateful Apps, Hybrid Clouds, and High Availability
Explore strategies for managing stateful workloads across multiple Kubernetes environments, from edge computing to hybrid clouds, with focus on high availability, data management, and CSI features.
EfficientML.AI Lecture - Machine Learning Efficiency and Optimization
Master efficient machine learning techniques and optimization strategies for deploying ML models in resource-constrained environments, focusing on practical implementation methods.
EfficientML.AI - Introduction to Efficient Machine Learning
Master efficient machine learning techniques and optimization strategies for deploying ML models in resource-constrained environments, focusing on practical implementation methods and performance enhancement.
Enabling Intelligent Observability Volume Management
Discover how to intelligently manage observability data volume in edge cloud environments using the Observability Volume Manager framework for optimized monitoring and cost control.
Installing NI Targets on Edge Networks - Security and Management Best Practices
Discover essential strategies for deploying NI targets in edge computing, covering VPN, firewalls, DynDNS, and secure data exchange for IIoT systems implementation and management.