Insights
Artificial Intelligence

Dive into the world of AI with expert insights on machine learning, automation, and emerging technologies. Discover how AI is shaping industries and transforming businesses.

Past Edition

Dive back into Artificial Intelligence Edition #655 for Wednesday, September 11, 2024's essential reads and reflections

Read

  1. Genomics England uses Amazon SageMaker to predict cancer subtypes and patient survival from multi-modal data
  2. Retrieval-Augmented Correction of Named Entity Speech Recognition Errors
  3. Automate Video Chaptering with LLMs and TF-IDF
  4. How I Streamline My Research and Presentation with LlamaIndex Workflows
  5. How to Create a Powerful AI Email Search for Gmail with RAG
  6. AtScale Open-Sourced Semantic Modeling Language (SML): Transforming Analytics with Industry-Standard Framework for Interoperability, Reusability, and Multidimensional Data Modeling Across Platforms
  7. NVIDIA Researchers Introduce Order-Preserving Retrieval-Augmented Generation (OP-RAG) for Enhanced Long-Context Question Answering with Large Language Models (LLMs)
  8. XPER: Unveiling the Driving Forces of Predictive Performance
  9. To Care, or Not to Care: Using XmR Charts to Differentiate Signals from Noise in Metrics
  10. How Tiny Neural Networks Represent Basic Functions
  11. Introducing NumPy, Part 1: Understanding Arrays
  12. All You Need Is Statistics to Analyze Tabular Datasets
  13. µFormer: A Deep Learning Framework for Efficient Protein Fitness Prediction and Optimization
  14. Can AI agents do your day-to-day tasks on apps?
  15. Chai-1 Released by Chai Discovery Team: A Groundbreaking Multi-Modal Foundation Model Set to Transform Drug Discovery and Biological Engineering with Revolutionary Molecular Structure Prediction
  16. 2024 Innovator of the Year: Shawn Shan builds tools to help artists fight back against exploitative AI
  17. PISA: A Psychology-Informed Approach to Sequential Music Recommendation with Repeat Listening Awareness
  18. Exploring the Dual Nature of RAG Noise: Enhancing Large Language Models Through Beneficial Noise and Mitigating Harmful Effects
  19. Diffusion Models Redefined: Mastering Low-Dimensional Distributions with Subspace Clustering
  20. Researchers from Brown University Introduce Symplectic Graph Neural Networks (SympGNNs) to Revolutionize High-Dimensional Hamiltonian Systems Modeling and Overcome Challenges in Energy Conservation and Node Classification
  21. What impact will AI have on video game development?
  22. Linear Programming Optimization: The Simplex Method
  23. Enhancing LLMs with Structured Outputs and Function Calling
  24. Mistral.rs: A Fast LLM Inference Platform Supporting Inference on a Variety of Devices, Quantization, and Easy-to-Use Application with an Open-AI API Compatible HTTP Server and Python Bindings
  25. How to Automate Google Sheets?
  26. Open-Source Data Observability with Elementary — From Zero to Hero (Part 2)
  27. Open-Source Data Observability with Elementary — From Zero to Hero (Part 1)
  28. Together AI Optimizing High-Throughput Long-Context Inference with Speculative Decoding: Enhancing Model Performance through MagicDec and Adaptive Sequoia Trees
  29. LowFormer: A Highly Efficient Vision Backbone Model That Optimizes Throughput and Latency for Mobile and Edge Devices Without Sacrificing Accuracy
  30. Researchers from Uppsala University Analyze the Impact of User Disagreement on the Growth and Dynamics of Reddit Threads: A Case Study of the AITA Subreddit’s Evolving Network Structures
  31. Logistic Regression, Explained: A Visual Guide with Code Examples for Beginners
  32. Practical Introduction to Polars
  33. LG AI Research Open-Sources EXAONEPath: Transforming Histopathology Image Analysis with a 285M Patch-level Pre-Trained Model for Variety of Medical Prediction, Reducing Genetic Testing Time and Costs
  34. Do We Really Need Deep Learning for Coastal Monitoring?
  35. CancerLLM: A Large Language Model in Cancer Domain
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  1. Confronting Credit Workflow Challenges with AI - with Supriya Gupta of Credit Karma
  2. Enterprise AI Solutions Need to be Different - Glean and ex-Slack CPO, Tamar Yehoshua, on RAG, Changing Behavior and Bring-Your-Own-Model.