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 #610 for Wednesday, July 10, 2024's essential reads and reflections

Read

  1. Efficient Continual Learning for Spiking Neural Networks with Time-Domain Compression
  2. Google Cloud TPUs Now Available for HuggingFace users
  3. The Hidden Danger in AI Models: A Space Character’s Impact on Safety
  4. Building a Standout Data Science Portfolio: A Comprehensive Guide
  5. Language Models and Spatial Reasoning: What’s Good, What Is Still Terrible, and What Is Improving
  6. Delta Lake Optimistic Concurrency Control — to lock or not to lock!
  7. Transfer Learning for Structured Pruning under Limited Task Data
  8. Accurate Knowledge Distillation via N-best Reranking
  9. Achieve up to ~2x higher throughput while reducing costs by up to ~50% for generative AI inference on Amazon SageMaker with the new inference optimization toolkit – Part 2
  10. Achieve up to ~2x higher throughput while reducing costs by ~50% for generative AI inference on Amazon SageMaker with the new inference optimization toolkit – Part 1
  11. Anthropic Claude 3.5 Sonnet ranks number 1 for business and finance in S&P AI Benchmarks by Kensho
  12. AI-Proof Your Data Science Skill Set by Embracing Four Timeless Concepts
  13. Scaling Law Of Language Models
  14. Deep Dive into LSTMs & xLSTMs by Hand ✍️
  15. Perception-Inspired Graph Convolution for Music Understanding Tasks
  16. Spicing up Ice Hockey with AI: Player Tracking with Computer Vision
  17. Tracking in Practice: Code, Data and ML Model
  18. Data Orchestration: The Dividing Line Between Generative AI Success and Failure
  19. KL Divergence: The Information Theory Metric that Revolutionized Machine Learning
  20. NVIDIA Introduces RankRAG: A Novel RAG Framework that Instruction-Tunes a Single LLM for the Dual Purposes of Top-k Context Ranking and Answer Generation in RAG
  21. How to get Started with Gemini Flash 1.5’s Code Execution Feature?
  22. Behind the Screen: How Netflix Uses Data Science?
  23. Top 8 GenAI Courses for AWS to Take Now
  24. Functional Programming vs Object-Oriented Programming
  25. 8 Data Engineering Jobs You Need to Choose from in 2024
  26. A Survey of Controllable Learning: Methods, Applications, and Challenges in Information Retrieval
  27. I Canceled my ChatGPT Plus Subscription. Here’s Why!
  28. MALT (Mesoscopic Almost Linearity Targeting): A Novel Adversarial Targeting Method based on Medium-Scale Almost Linearity Assumptions
  29. TRANSPOSE Function in Excel: Definition, Syntax, and Applications
  30. Can AI help me plan my honeymoon?
  31. Microsoft’s Comprehensive Four-Stage AI Learning Journey: Empowering Businesses with Skills for Effective AI Integration and Innovation
  32. Meet Booth AI: An AI-Powered Solution that Builds No-Code Gen AI Apps
  33. Enhancing Vision-Language Models: Addressing Multi-Object Hallucination and Cultural Inclusivity for Improved Visual Assistance in Diverse Contexts
  34. GraCoRe: A New AI Benchmark for Unveiling Strengths and Weaknesses in LLM Graph Comprehension and Reasoning
  35. This Paper Addresses the Generalization Challenge by Proposing Neural Operators for Modeling Constitutive Laws
  36. How to Make Custom ChatGPT?
  37. This AI Research from Ohio State University and CMU Discusses Implicit Reasoning in Transformers And Achieving Generalization Through Grokking
  38. VCHAR: A Novel Artificial Intelligence AI Framework that Treats the Outputs of Atomic Activities as a Distribution Over Specified Intervals
  39. Doping: A Technique to Test Outlier Detectors
  40. Innodata’s Comprehensive Benchmarking of Llama2, Mistral, Gemma, and GPT for Factuality, Toxicity, Bias, and Hallucination Propensity
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  2. Driving Efficiencies Across the Life Sciences Value Chain with AI in Drug Development - with Nishtha Jain of Takeda