Apple MLInferring Optical Tissue Properties from Photoplethysmography using Hybrid Amortized Inference
Introducing PPGen, a biophysical model that maps photoplethysmography signals to interpretable optical and physiological tissue parameters, and Hybrid Amortized Inference (HAI) for fast, robust, and scalable parameter estimation in wearables, balancing deep learning performance with clinical interpretability and hardware-aware design.
Apple MLPretraining with Hierarchical Memories: Separating Long-Tail and Common Knowledge
A memory-augmented pretraining approach using hierarchical memories to separate long-tail knowledge from common knowledge, with a small anchor model accessing a large memory bank for memory-efficient inference and fine-tuning on resource-constrained devices.
AWS MLArchitecting TrueLook’s AI-powered construction safety system on Amazon SageMaker AI
Three-stage, domain-adaptive YOLOv11 PPE detection trained on TrueLook data, deployed on SageMaker AI via automated Pipelines and Model Registry to deliver real-time construction-site safety monitoring with governance and continuous improvement.
AWS MLSentiment Analysis with Text and Audio Using AWS Generative AI Services: Approaches, Challenges, and Solutions
Explores end-to-end sentiment analysis for text and audio using AWS Generative AI services, detailing architectures, experiments, challenges, and future directions.
AWS MLHow Beekeeper optimized user personalization with Amazon Bedrock
Beekeeper builds a Bedrock-powered, feedback-driven leaderboard to optimize LLM prompts and personalization for frontline workers, enabling dynamic model/prompt selection and tenant-specific customization.
OpenAIDatadog uses Codex for system-level code review
Datadog leverages Codex to perform system-level code reviews, illustrating how AI-assisted analysis enhances code quality and reliability across complex, distributed systems.
MIT AI3 Questions: How AI could optimize the power grid
AI-driven optimization of the power grid enables real-time balancing of supply and demand, better integration of renewables, and smarter planning to improve efficiency, resilience, and decarbonization.
Lambda LabsJAX on NVIDIA GPUs Part 2: A practical guide for ML engineers
Scaling JAX-powered LLM training from a single GPU to multi-node NVIDIA Blackwell clusters, with controlled experiments, learning-rate scaling, and practical patterns for ML engineers.
OpenAINetomi’s lessons for scaling agentic systems into the enterprise
A concise technical guide on how to scale agentic systems within enterprise environments, drawing on Netomi’s practical lessons.
MIT AIDecoding the Arctic to predict winter weather
A technical synthesis of Arctic diagnostics and AI-powered subseasonal forecasting that extends winter-weather predictions beyond ENSO, highlighting Siberian snow cover, polar-vortex dynamics, and Barents-Kara Sea conditions.
OpenAIOpenAI for Healthcare
A technical overview of applying OpenAI in healthcare, focusing on model integration, data governance, and safe, AI-assisted clinical workflows.
AWS MLScaling medical content review at Flo Health using Amazon Bedrock (Part 1)
A PoC for AI-assisted, scalable medical content verification at Flo Health using MACROS on Amazon Bedrock to streamline content review and revision against up-to-date medical guidelines.