Information Leakage of Neural Networks
Explore information extraction attacks on machine learning models, their potential to compromise sensitive data, and strategies for mitigation. Gain insights into legal aspects and privacy-security-utility tensions.
Transforming Autonomous Driving with Large Language Models and Generative AI
Explore cutting-edge AI models LINGO and GAIA, revolutionizing autonomous driving with advanced language processing, visual interpretation, and realistic scenario generation for enhanced safety and decision-making.
Do Chemformers Dream of Organic Matter? Evaluating Transformer Models for Synthesis Prediction
Explore transformer models for synthesis prediction in drug discovery, including challenges, comparisons, and performance in product and retrosynthesis prediction for pharmaceutical applications.
Building the Future: Exploring the Fact-based Realities of AI-Assisted Coding
Explore AI-assisted coding's realities, debunk productivity claims, and discover revolutionary technology for auto-generated code improvements. Learn to comprehend code in the AI age.
Scenario Extraction for Self-Driving Vehicles - Real World Applications
Explore real-world scenario extraction for self-driving vehicles. Learn methods to analyze and structure time-series data, classify states and events, and assess traffic behavior for autonomous driving validation.
The Web's Next Transformation
Explore the web's evolution and future transformation, focusing on distributed systems, improved user experiences, and enhanced development productivity.
The Shadow AI Problem: Why DevOps Must Lead the Charge in Generative AI - Interview with John Willis
Explore DevOps' role in AI with IT veteran John Willis. Dive into vector databases, shadow AI, multi-language LLMs, and why DevOps professionals are crucial in shaping AI's future.
Get to Know PyTorch - A Cutting Edge Open Source AI Framework for Machine Learning
Explore PyTorch's fundamentals, latest developments, and community contributions. Learn to leverage this open-source AI framework for creating neural network models and advancing machine learning research.
Diving in with SLE BCI - Choosing the Right Container for Your Project
Explore SUSE Linux Enterprise base container images, learn to choose the right container for your needs, and see demonstrations of popular use cases.
Annotating Log Data for Machine Learning
Explore an NLP-based log analysis system for automated error triage and fault categorization, streamlining root cause analysis in complex log data.
Humans in a GenAI World - Developers' Role in the AI Revolution
Explore the evolving role of developers in the era of GenAI, focusing on human contributions and future opportunities in an AI-driven landscape.
Do More with AI and GitHub Copilot
Discover how to leverage AI, GitHub, and VS Code to efficiently deliver high-quality web applications. Learn tools and services that enhance productivity and maintain coding standards.
Building a Platform for Your Ecosystem - Lessons from Enterprise Implementation
Explore platform engineering's evolution, challenges, and strategies for creating valuable, ecosystem-integrated platforms that enhance developer experience and business outcomes.
Developer Platform Consoles Should Be Dumb - Building Better UIs
Explore better ways to build developer platform consoles by focusing on dumb UIs that rely on APIs for functionality and information discovery.
ROI of Platform Engineering - A Novel Approach to Estimating Value
Explore a novel approach to estimating platform engineering ROI, challenging conventional perspectives and uncovering key factors influencing calculations.
Driving Organizational Sustainability with Platform Engineering
Explore how Platform Engineering drives organizational sustainability through DevOps principles, robust support structures, and standardized architecture for long-term success.
Cost Optimization Journey to Reduce Organization Cost/GP by 20%
Discover strategies to reduce organizational costs by 20%, including AI-driven optimization, modern storage tactics, and financial governance techniques for cloud resources.
From Fragile to Antifragile Internal Platforms
Discover strategies to transform fragile internal platforms into antifragile systems that thrive under stress, focusing on trust, transparency, and sustainable value demonstration.
Platform Engineering Impact: Mapping Engineering Outcomes to Business Value
Learn strategies to effectively communicate platform engineering's value to business leaders, aligning technical capabilities with tangible business outcomes and gaining executive support.
Internal Developer Platform Reference Architecture for Red Hat OpenShift
Discover how to build an Internal Developer Platform for Red Hat OpenShift using tools like Developer Hub, Score, GitHub Actions, and Humanitec. Learn to improve developer experience and productivity through self-service and automation.
Implementing Infrastructure as Code for Efficient Platform Engineering
Explore Infrastructure as Code for building Internal Developer Platforms in large companies. Learn strategic steps, team organization, and practical applications for efficient platform engineering.