Building a Large Music Recommender Leveraging AI, Deep Learning and Human Expertise
Explore Pandora's sophisticated music recommendation system, combining AI, deep learning, and human expertise to deliver personalized listening experiences based on vast user data and musicological insights.
End-to-End Deep Learning Pipeline for Self-Driving Cars
Explore the end-to-end deep learning pipeline for self-driving cars, covering data collection, processing, model training, evaluation, and deployment, with insights on common mistakes and future developments.
The Fake News Arms Race - How AI Can Create, and Detect, Fakes
Explore the AI-driven battle against fake news, from deep-fake creation to detection technologies. Learn how machine vision and NLP combat misinformation at scale.
Deep Learning for Mobile Devices
Strategies for implementing efficient convolutional neural networks on mobile devices, covering model optimization, hardware considerations, and on-device training techniques.
Getting Personal - Deep Learning Methods for Large Scale Personalization
Explore deep learning methods for large-scale personalization, covering sequence modeling, computer vision, and practical applications in this insightful talk by Noa Barbiro.
What We Need to Do to Continue Advancing Deep Learning
Explore advancements in deep learning, including reinforcement learning, generative adversarial networks, and neural networks, with insights on AI's future and its impact on various fields.
AI and Data Talk
Explore AI and data science with NVIDIA's Ekaterina Sirazitdinova, covering career insights, industry applications, ethical considerations, and the future of AI in solving global challenges.
EINNET - Optimizing Tensor Programs with Derivation-Based Transformations
Optimizing tensor programs for deep neural networks using derivation-based transformations, outperforming existing optimizers by leveraging a larger search space and automatically creating new operators.
AlpaServe - Statistical Multiplexing with Model Parallelism for Deep Learning Serving
Explore AlpaServe, a novel system for efficient deep learning model serving using statistical multiplexing and model parallelism to handle bursty workloads and improve request processing rates.
Effectively Scheduling Computational Graphs of Deep Neural Networks toward Their Domain-Specific Accelerators
Innovative approach for scheduling DNN computational graphs on domain-specific accelerators, optimizing resource utilization and enhancing performance through synergy between network and hardware architectures.
On the Link Between Conscious Function and General Intelligence in Humans and Machines
Exploring the connection between consciousness and intelligence in humans and AI, examining theories and proposing a unified model for developing more advanced artificial agents.
Consciousness Meets AI for a New Paradigm
Exploring connections between consciousness and AI, combining theories like Global Workspace Theory with deep learning to develop a new paradigm for general-purpose intelligence and brain-to-brain communication.
TC-GNN - Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs
Innovative framework accelerating graph neural networks using GPU Tensor Core Units, reconciling sparse GNN computation with dense TCUs for improved performance in graph-based machine learning.
Decentralized Application-Level Adaptive Scheduling for Multi-Instance DNNs on Open Mobile Devices
Explores decentralized scheduling for multiple DNN-powered apps on open mobile systems, using Deep Reinforcement Learning to achieve balanced performance gains and energy savings across various scenarios.
Deep Learning with DeepLearning4J and Spring Boot
Explore deep learning with DeepLearning4J in a Spring Boot application, covering neural networks, supervised learning, and custom actuator endpoints for advanced monitoring.
Machine Learning Exposed - The Fundamentals
Gentle introduction to machine learning fundamentals, covering supervised, unsupervised, and reinforcement learning, with practical examples and intuitive explanations of underlying mathematics.
Deep Learning, Not Deep Creepy
Explore deep learning applications, privacy implications, and Mozilla's efforts to create empowering machine learning systems while ensuring user privacy.
Around the World in 80 Microamps - ESP32 and LoRa for Low-Power IoT
Explore ultra-low-power IoT sensor design using ESP32 and LoRa. Learn battery selection, power optimization, deep-sleep modes, and solar integration for long-lasting wireless environmental monitoring.
What Does the Future of Medtech Look Like?
Experts discuss the future of medtech, exploring biometric data, machine learning, and AI's potential to revolutionize healthcare through prediction and prevention of illnesses.
Supercomputers in the Sky
Discover how Skycatch's innovative platform enables deep learning from aerial data, revolutionizing machine-to-machine and machine-to-brain interactions for enhanced contextual understanding.
Neural Networks Interactively - Right in Your Browser
Explore neural networks interactively in your browser with TensorFlow.js. Learn about applications, demos, and privacy-focused machine learning projects through hands-on examples and visualizations.