The Open Source AI Dilemma: Crafting a Clear Definition for Open Source AI
Explore the challenges of defining Open-Source AI, balancing innovation with fundamental open-source principles. Discuss unique AI considerations and practical approaches to foster openness in AI development.
Best Practices for Production-ready .NET Docker Images
Learn insider tips for creating optimized, secure, and high-performance .NET Docker images. Discover how to containerize applications, fix vulnerabilities, and prepare for production using a hands-on web API example.
Unsupervised Pleasures - Intersectional Language Models for Queer Futures
Exploración interactiva de modelos de lenguaje, analizando su representación de diversas identidades y proponiendo alternativas más inclusivas para un futuro tecnológico más equitativo.
Does ChatGPT Have a Theory of Mind? Prompt Engineering Principles
Explore prompt engineering principles and ChatGPT's potential theory of mind through practical examples, enhancing AI interactions for business and creative applications.
Voice-controlled Home Automation Using IBM Watson, Docker, IFTTT, and Serverless
Learn to build voice-controlled home automation using IBM Watson, Docker, IFTTT, and serverless technologies. Explore architecture, deployment, and practical applications for IoT solutions with OpenWhisk and cognitive services.
Medical Melanoma Detection - TensorFlow U-Net Tutorial
Step-by-step guide to implementing a U-Net model for melanoma detection using TensorFlow/Keras, covering data preparation, augmentation, model building, training, testing, and result visualization.
Augmented Intelligence - Combining Human and Machine Capabilities
Experts discuss how machines and humans can collaborate to achieve new feats, exploring the integration of technology, human experience, and processes for powerful insights and sustainable performance.
Artificial Intelligence - The History and Future
Explore recent breakthroughs and exciting opportunities in AI with Chris Bishop, discussing progress, applications, and the future of intelligent machines.
Turing Lecture - Provably Beneficial AI
Exploring the future of AI capabilities, potential risks, and the need for a fundamental reorientation in AI development to ensure systems are beneficial for humanity.
On Your Mark, Get Set, Go! Data Scientists Making Platforms for Your Exercise Data
Explore how data scientists create platforms to analyze exercise data from wearable devices, showcasing trackeRapp for tracking running, cycling, and swimming activities.
Turing Lecture - Regulating Unreality - Deepfakes, Revenge-Pornography & Fake News
Explore the societal implications of deepfakes, including revenge porn and fake news, and discuss potential regulatory approaches to combat the spread of AI-generated misinformation.
The Search for Emotions, Creativity, and Fairness in Language
Exploring emotions in language: representation, annotation, and applications in NLP, psychology, and social sciences. Discusses computational creativity and addressing biases for fairer AI systems.
In How Many Ways Can an Algorithm be Fair?
Exploring measures of algorithmic fairness, their implications for technology policy, and challenges in implementation to hold predictive algorithms accountable.
The Role of Multi-Agent Learning in Artificial Intelligence Research at DeepMind
Explore multi-agent learning in AI research, focusing on cooperation among self-interested agents and the AlphaGo project's breakthrough in defeating top Go players using self-play algorithms.
Turing Lecture - Sir Mark Walport, Artificial Intelligence and Public Services
Explore AI's potential to transform public services, discussing efficiency gains, personalization, and ethical considerations in government applications of machine learning.
Turing Lecture - How Smartphones and Wearable Technology Can Help in the Care of Chronic Illnesses
Exploring innovative use of smartphones and wearables for chronic illness care, emphasizing patient empowerment through data sharing and AI-assisted symptom forecasting and health guidance.
A New Type of Thinking - A Formula for Augmenting Human Decision-Making
Explore innovative approaches to enhance human decision-making through computational tools, AI, and advanced technologies. Learn from Dr. Regli's expertise in interdisciplinary problem-solving and cutting-edge research applications.
Deep Spectral Graph Matching
Explore high-level computer vision and machine learning concepts with a focus on deep spectral graph matching techniques, presented by an expert in the field.
Adaptive Sampling via Sequential Decision Making - András György
Explore adaptive sampling methods using multi-armed bandit algorithms and MCMC samplers to optimize resource allocation and improve sample quality in machine learning applications.
Infrastructure Monitoring Data Challenges for British Telecoms - Dr. Simon Thompson
Explore human-AI interaction in infrastructure monitoring, focusing on visual and linguistic inferences to enhance customer experiences and reduce costs.
Towards Ambient Intelligence in AI-Assisted Healthcare Spaces - Dr. Fei-Fei Li, Stanford University
Exploring AI-powered ambient intelligence in healthcare environments to enhance patient care through computer vision and human activity understanding, with real-world applications and future directions.