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Amazon Unveils Bedrock AgentCore Gateway: Redefining Enterprise AI Agent Tool Integration

Amazon Web Services (AWS) has launched the Amazon Bedrock AgentCore Gateway, a transformative managed service designed to simplify and scale AI agent-to-tool integrations for enterprises. As organizations seek to leverage AI agents in increasingly complex environments with hundreds of tools and services, the Gateway addresses critical pain points: interoperability, security, tool discovery, and infrastructure management—all […]

NVIDIA AI Just Released the Largest Open-Source Speech AI Dataset and State-of-the-Art Models for European Languages

Nvidia has taken a major leap in the development of multilingual speech AI, unveiling Granary, the largest open-source speech dataset for European languages, and two state-of-the-art models: Canary-1b-v2 and Parakeet-tdt-0.6b-v3. This release sets a new standard for accessible, high-quality resources in automatic speech recognition (ASR) and speech translation (AST), especially for underrepresented European languages. Granary: […]

R-Zero: A Fully Autonomous AI Framework that Generates Its Own Training Data from Scratch

Large Language Models (LLMs) have revolutionized fields from natural language understanding to reasoning and code generation. However, pushing their reasoning ability to truly superhuman levels has been limited by the need for massive, high-quality, human-annotated datasets. A team of researchers from Tencent AI Seattle Lab, Washington University, the University of Maryland, and the University of […]

This AI Paper Introduces ReaGAN: A Graph Agentic Network That Empowers Nodes with Autonomous Planning and Global Semantic Retrieval

How can we make every node in a graph its own intelligent agent—capable of personalized reasoning, adaptive retrieval, and autonomous decision-making? This is the core question explored by a group researchers from Rutgers University. The research team introduced ReaGAN—a Retrieval-augmented Graph Agentic Network that reimagines each node as an independent reasoning agent. Why Traditional GNNs […]

Salesforce AI Releases Moirai 2.0: Salesforce’s Latest Time Series Foundation Model Built on a Decoder‑only Transformer Architecture

Salesforce AI Research has unveiled Moirai 2.0, the latest advancement in the world of time series foundation models. Built atop a decoder-only transformer architecture, Moirai 2.0 sets a new bar for performance and efficiency, claiming the #1 spot on the GIFT-Eval benchmark-the gold standard for time-series forecasting model evaluation. Not only is it 44% faster […]

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An Implementation Guide to Design Intelligent Parallel Workflows in Parsl for Multi-Tool AI Agent Execution

In this tutorial, we implement an AI agent pipeline using Parsl, leveraging its parallel execution capabilities to run multiple computational tasks as independent Python apps. We configure a local ThreadPoolExecutor for concurrency, define specialized tools such as Fibonacci computation, prime counting, keyword extraction, and simulated API calls, and coordinate them through a lightweight planner that […]

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Evaluating Deep Learning Models with Custom Loss Functions and Calibration Metrics

Evaluating Deep Learning models is an essential part of model lifecycle management. Whereas traditional models have excelled at providing quick benchmarks for model performance, they often fail to capture the nuanced goals of real-world applications. For instance, a fraud detection system might prioritize minimizing false negatives over false positives, while a medical diagnosis model might […]