Engineering and Production Techniques for Managing Feature Drift in AI Models
Explore engineering techniques for managing feature drift in large-scale AI models, drawing insights from real-world case studies and best practices.
Managing Machine Learning Experiments with MLflow
Learn to manage ML experiments, reproduce pipelines, and deploy models using MLflow, an open-source tool for streamlining the machine learning lifecycle.
All You Need Is Consistent Promotions - AI-Driven Retail Demand Planning
Explore AI-driven retail promotion planning, focusing on monotonicity and smoothness in demand estimation. Learn about Kinaxis' Optimize product and model-agnostic methodologies for consistent promotions.
Bringing Structure Into an Unstructured World - Applying State-of-the-Art Machine Learning at Digits
Explore how Digits applies transformer models to extract structured information from unstructured financial data and deploys ML experiments in production using TensorFlow.
Exceeding Customer Expectations with Machine Learning
Explore how retailers leverage machine learning to enhance customer experiences, boost revenue, and optimize processes. Learn about impactful use cases and implementation strategies.
Financial Client Churn Detection Using Computer Vision
Detect financial client churn using computer vision techniques. Convert historical client data into images and apply deep neural networks for predictive analysis.
A Cookbook for Deep Continuous-Time Predictive Models
Explore deep continuous-time predictive models for irregularly-sampled time series, from feedforward approaches to latent-variable stochastic differential equations.
Overcoming the Cold Start Problem: How to Make New Tasks Tractable
Explore strategies to overcome the cold start problem in AI, focusing on data aggregation and leveraging pre-trained models for efficient scaling of machine learning applications.
AI and Machine Learning in Healthcare During the Coronavirus Pandemic in China
Explore machine learning applications in healthcare during China's coronavirus pandemic, focusing on practical implementations and outcomes.
Fighting Pipeline Debt With Great Expectations
Learn to combat pipeline debt using Great Expectations, an open-source library for data validation, documentation, and profiling in complex data systems.
A Tale of A Thousand Pipelines: Building Scalable Deep Learning Pipelines for Time-Series Datasets
Discover scalable deep learning pipelines for massive time-series datasets, reducing costs by 80% while training hundreds of models efficiently.
BitFunnel: How Bing Uses Bloom Filters for Search
Explore BitFunnel algorithm powering Bing search, using Bloom filters to efficiently process queries and search billions of documents, challenging conventional wisdom in text indexing.
Deep Learning for Protein Structure Discovery
Explore deep learning techniques for uncovering protein structures, revolutionizing molecular biology and drug discovery.
Adversarial and Poisoning Attacks Against Speech Systems - Where to Find Them
Explore vulnerabilities in machine learning systems, focusing on poisoning and adversarial attacks. Learn strategies, defense mechanisms, and implications for AI security.
Why an Event-Native Mindset Is Essential for Data Architecture
Embrace an Event-Native Mindset to build a responsive data architecture. Learn to model events, create an enterprise nervous system, and enable real-time action and prediction using event-driven knowledge architecture.
Data-Centric Development is Key to Production-Level AI
Explore data-centric AI development approaches for adapting foundation models to complex use cases, focusing on techniques for pre-training, instruction-tuning, and task-specific fine-tuning.
Revolutionizing Data Analysis: Combining LLM, RAG, and Domain Knowledge
Leverage NLP and RAG systems to extract insights from structured and unstructured data, generate actionable insights, and empower data-driven analysis without SQL.
Building Trustworthy AI for Environmental Science
Explore trustworthy AI methods for environmental science, focusing on weather, climate, and coastal oceanography predictions, with insights on hail and tornado forecasting.
Physical Constraints on the Evolution of Viral Entry
Explore physical constraints on viral entry evolution with Dr. Peter Kasson. Gain insights into membrane dynamics, fusion mechanisms, and pandemic prediction through experimental and computational approaches.
Moving Beyond the First Portrait of Our Milky Way's Black Hole by Leveraging Underlying Structure
Explore computational imaging techniques used to capture black hole images and leverage data structure to extract evolving details of the Milky Way's supermassive black hole.
AI for Scientists: Accelerating Discovery through Knowledge, Data and Learning
Explore AI-driven scientific discovery, integrating machine learning with expert knowledge to automate data analysis and accelerate research across diverse domains.