Apple MLMVICAD2: Multi-View Independent Component Analysis with Delays and Dilations
MVICAD2 extends multi-view independent component analysis by modeling subject-specific temporal delays and dilations to reliably recover shared brain sources from MEG data, with identifiable likelihood and validation on Cam-CAN showing aging-related timing effects.
Apple MLGRPO Beyond English: A Large-Scale Study of GRPO in Non-English and Multilingual Settings
A comprehensive, large-scale evaluation of Group Relative Policy Optimization (GRPO) and Reinforcement Learning with Verifiable Rewards (RLVR) across non-English and multilingual settings, revealing crosslingual transfer gains, language-dependent trends, and implications for multilingual LLM reasoning.
Apple MLA Specialized Semismooth Newton Method for Kernel-Based Optimal Transport
A specialized semismooth Newton method reformulates kernel-based optimal transport as a nonsmooth fixed-point problem to enable scalable solutions with global convergence and local quadratic convergence, delivering substantial speedups over short-step interior-point methods.
Apple MLMVICAD2: Multi-View Independent Component Analysis with Delays and Dilations
MVICAD2 extends multi-view ICA by modeling subject-specific delays and dilations in MEG data, providing an identifiable likelihood and demonstrating superior cross-subject source estimation and aging-related brain dynamics on Cam-CAN.
Apple MLGRPO Beyond English: A Large-Scale Study of GRPO in Non-English and Multilingual Settings
A large-scale, multilingual study of GRPO and RLVR across non-English settings reveals crosslingual gains, native-language reasoning efficiency, and the need for broad evaluation to detect language-specific regressions.
AWS MLHow Axonius built secure multi-tenant AI agents on Bedrock AgentCore
Case study on deploying secure, multi-tenant AI agents on AWS using Amazon Bedrock AgentCore, featuring per-tenant runtimes, strict tenant isolation, and integrated cost governance for Axonius.
AWS MLHow Axonius built secure multi-tenant AI agents on Bedrock AgentCore
Axonius demonstrates a secure, silo-based multi-tenant AI agent deployment on AWS using Bedrock AgentCore, detailing per-tenant isolation, cost governance, and built-in observability.
AWS MLImprove contract search accuracy with auto-generated filters in Amazon Bedrock
AIDA on Amazon Bedrock Knowledge Bases uses implicit and explicit filtering and metadata-enriched chunking in a RAG workflow to dramatically improve contract search accuracy and deliver grounded, context-aware answers.
AWS MLHow Jumio built a real-time feature store on AWS
Jumio's streaming-first, real-time feature store on AWS demonstrates a scalable architecture using Kinesis, Apache Flink, and SageMaker Feature Store to achieve sub-100ms latency for fraud-detection ML and streamlined feature management.
AWS MLImplement vector-prompt document classification using Amazon Bedrock
A multi-agent document classification system on Amazon Bedrock that fuses Claude Haiku 4.5-driven textual reasoning with Titan Multimodal Embeddings for visual pattern recognition, orchestrated by the Strands Agents SDK for cross-validated, auditable results.
AWS MLCustomize Amazon Quick embedded chat into your application
Customize and brand the Amazon Quick embedded chat in your app by aligning visuals and tone through container CSS, frame options, and agent persona with SDK content options and sendPrompt integration for a seamless, native-like experience.
AWS MLAmazon Bedrock AgentCore payments is now generally available: Enabling agents to transact safely and autonomously at scale
AgentCore payments is GA, enabling autonomous, pay-per-use transactions for AI agents with wallet integration, protocol-agnostic payment orchestration, guardrails, and production observability at scale.