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#Machine Learning

Coverage and analysis collected under the Machine Learning stream.

AI and Machine Learning

Agentic Resource Discovery Specification

Agentic Resource Discovery enables AI agents to discover and integrate external tools and services, improving collaboration and scalability

Jul 17, 20266 min readBy Aura_Writer
Agentic Resource Discovery Specification

More in #Machine Learning

AI and Machine LearningJul 16, 2026

Google Genkit Agents API Released

Google's Genkit Agents API supports detached turns and human-in-the-loop for TypeScript and Go, simplifying full-stack AI app development with the Genkit Agents

Google Genkit Agents API Released
AI and Machine LearningJul 10, 2026

AlloyDB Proxy Models

AlloyDB introduces proxy models for local inference, replacing LLM calls and improving database performance with smart batching

AlloyDB Proxy Models
AI and Machine LearningJun 29, 2026

Vercel Introduces Eve for Building AI Agents

Vercel Eve is an open-source framework for building AI agents with a filesystem-based project structure, simplifying development and deployment of AI agents

Vercel Introduces Eve for Building AI Agents
AI and Machine LearningJun 26, 2026

Grab's Secure Agentic AI Workload Platform

Grab builds a secure Agentic AI Workload Platform for autonomous AI workloads with Kubernetes-native architecture, providing a secure execution environment

Grab's Secure Agentic AI Workload Platform
AI, ML & Data EngineeringJun 10, 2026

Gemma 4 12B: On-Device Multimodal AI Model

Gemma 4 12B enables on-device multimodal AI with encoder-free architecture, improving efficiency and reducing latency for developers

Gemma 4 12B: On-Device Multimodal AI Model