Contextual AI Models for Single-cell Protein Biology
Explore PINNACLE, a geometric deep learning approach generating context-aware protein representations for enhanced understanding of protein function and interactions across biological contexts.
The Future of AI for Drug Discovery
Explore the future of AI in drug discovery with leading experts discussing challenges, opportunities, and practical applications of machine learning in molecular research.
Expedition to the LLM and AI Frontier - Navigating the Modern AI Landscape
Navigate the LLM and AI landscape as a data science leader. Learn to champion your team, educate company leaders, and leverage AI tools for successful implementation in your organization.
Learning Representations on Biological Data with Weakly Supervised Learning
Explore weakly supervised learning for biological data representations. Discover PeML method for improved similarity metrics in perturbational experiments, enhancing mechanism of action identification and downstream analysis tasks.
Tackling the Challenges of High-Performance Graph Analytics at Compiler Level
Explore COMET, a DSL and compiler framework for efficient tensor algebra code generation, focusing on optimizations for high-performance graph analytics on heterogeneous systems.
Analyzing and Improving the Scalability of In-Memory Indices for Managed Search Engines
Explore scalability improvements for in-memory indices in managed search engines, comparing compressed and uncompressed indices on DRAM and NVM, and analyzing performance trade-offs.
Quantitative Weakest Hyper Pre Calculus for Non-Deterministic Programs
Explore a novel weakest pre calculus for quantitative hyperproperties, enabling reasoning about hyperquantities in non-deterministic programs and extending hyper Hoare logic.
Real-time Fraud Detection: Challenges and Solutions
Explore real-time fraud detection challenges and solutions using machine learning and the Hazelcast Open Source platform for rapid, scalable decision-making.
The Future of Hazelcast - Cloud-Native Revolution
Explore Hazelcast's cloud-native evolution, from caching to advanced stream processing, and discover upcoming features in this insightful tech talk.
Building Your Own Bot with GPT: Harnessing the Power of AI - GeeCON 2023
Harness OpenAI's GPT to build a personalized chatbot. Learn API integration, custom dataset creation, and strategies for enhancing bot performance with individual data.
Understanding Probabilistic Data Structures with UFO Sightings
Explore probabilistic data structures through UFO sightings analysis. Learn about Bloom Filters, MinHash, and Top-K, and their applications in processing large datasets efficiently.
Enhancing Flexibility and Productivity with Access Patterns and Storage-Agnostic Abstractions
Explore a platform bridging data management gaps, offering storage-agnostic abstractions and ACID guarantees across streaming, batch, and random-access storages for flexible, consistent data handling.
Vector Search at Uber - Implementing and Scaling KNN Search with Apache Lucene
Explore Uber's implementation of Vector Search using Apache Lucene, enabling semantic search and Gen AI support. Learn about HNSW algorithm integration, live vector updates, and scalability optimizations.
Navigating Challenges and Enhancing Performance of LLM-based Applications
Explore strategies for optimizing Retrieval-Augmented Generation applications, addressing challenges in evaluation and performance enhancement for improved accuracy and contextual depth in AI-generated responses.
Streamlining Power BI with PowerShell
Automate Power BI tasks using PowerShell to simplify workspace management, access control, and dataset handling, enhancing efficiency and reducing errors in data analytics workflows.
How to Get Started with MLOps in Azure Databricks
Explore the machine learning lifecycle and operationalize models using Databricks Machine Learning, focusing on scaling deployments with MLOps for company-wide implementation.
Generative AI: Concepts, Tools, and Applications for Data Professionals
Explore generative AI's workings, limitations, tools, and applications to enhance data projects and estates. Learn practical insights for data professionals.
Observability is More than Logs, Metrics and Traces
Explore observability beyond logs, metrics, and traces. Learn holistic system monitoring approaches, creating richer events aligned with business needs, and adding value through comprehensive system understanding.
From DevOps for Data to DataOps
Explore DataOps principles and practices for data & analytics, comparing similarities and differences with DevOps in software engineering to enhance agility and business value.
Kubernetes for Modern Data Engineering: An End-to-End Data Engineering Project
Master Kubernetes for data engineering: set up, deploy dashboard, run Apache Airflow with Helm charts. Learn kubectl, manage clusters, and optimize workflows for scalable data processing.
CI/CD for Modern Data Engineering - End-to-End Project on Azure with Terraform
Implement CI/CD for modern data engineering using Azure and Terraform. Automate infrastructure, storage, and data factory deployment with hands-on guidance and practical examples.