InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
-
Cohere’s Parse 5 Promises Efficient Multi-Modal Information Extraction From Complex Documents
Cohere has launched Parse 5, a multimodal foundation model designed to extract structured data from complex enterprise documents. The 2.3-billion-parameter system converts visually rich PDFs into Markdown while providing bounding box coordinates for visual grounding. It has been evaluated against over 2,000 enterprise pages, achieving an average score of 79.2 in key performance areas.
-
Swiggy Uses 350+ Features and Multi-Task MLP to Predict Customer Lifetime Value
Swiggy developed an in house predicted lifetime value model using more than 350 pre order features and a multi task MLP for Food and Instamart. Adding order count as an auxiliary task reduced model parameters by 63% while improving predictive performance. The pLTV signal is used with Google Target ROAS bidding to optimize customer acquisition.
-
Cloudflare Adds Optional OAuth Scopes, Letting Developers Mark What Users May Decline
Cloudflare has added optional OAuth scopes, letting client owners mark which permissions users may deselect at consent. The company names MCP servers as the motivating case, since agents request the union of everything they might do. Partial consent exists elsewhere, but developer control over which scopes are droppable does not.
-
OpenClaw 2.0 Releases with Simplified Setup and Collaborative Agents
OpenClaw has released OpenClaw 2.0, a major update to the open-source personal AI agent that changes its installation process, browser interface, memory, skills, automations, plugins, security, and collaboration features.
-
InfoQ previews the September cohorts of its online certification programs
A preview of the September cohorts of the InfoQ Online Certification Programs, and the facilitators leading them: Luca Mezzalira, Michelle Brush, Zichuan Xiong, and Premanand Chandrasekaran.
-
HCP Terraform Positions Itself as the Control Plane for AI-Driven Infrastructure
HashiCorp is positioning HCP Terraform as the governance and control plane for a new generation of AI-driven infrastructure, arguing that the rapid adoption of coding agents is shifting the biggest infrastructure challenge from writing configuration to verifying and safely executing it.
-
DoorDash’s Flux Runs 130,000 Engineering Tasks through Cloud-Based Agents
DoorDash has moved engineering agent workloads from developer laptops to its Flux cloud platform. The platform automated 130,000 engineering tasks in one month and supports more than 25,000 automated code reviews weekly. Flux uses isolated Firecracker microVMs, an MCP gateway, reusable playbooks, and multiple invocation surfaces to run agent workflows with scoped access and centralized auditing.
-
Foundry Model Router Expands from Two Regions to 28, Refreshing Its Model Pool
Microsoft expanded Foundry's model router from two regions to 28 for global standard and 21 for data zone deployments, while adding Claude Opus 4.8 and GPT-5.6 and removing four deprecated models. Default deployments receive pool changes automatically; configured subsets exclude new models until added. The effective context window equals the smallest model in the pool.
-
Cloudflare Extends AI Search to Make it Easier for Agents and Developers to Search Custom Data
Cloudflare AI Search is a built-in search and retrieval service designed to give AI agents and applications a ready-to-use search engine over custom data. It supports agent integration, multimodal search, and seamless integration with other Cloudflare tools.
-
AWS Open Sources Kiro Crew for Asynchronous Coding Agents
Amazon recently announced Kiro Crew, an open-source system for running multiple Kiro coding agents across sessions, tools, and tasks. The new workspace lets developers assign asynchronous coding tasks to AI agents, allowing work such as incident investigation, ticket triage, migrations, and PR monitoring to continue without active supervision.
-
FreeToken Unlocks Frontier MoE Inference on Consumer Hardware via Dynamic Co-Execution
Researchers from UC Berkeley and MIT have developed FreeToken, an open-source inference engine that enhances the utility of Mixture-of-Experts models on consumer hardware. By implementing a dynamic scheduling policy and optimising weight management, FreeToken improves decoding speeds and execution efficiency in edge AI applications, fostering self-hosted reasoning systems.
-
Meta Expands its Custom Silicon Strategy from Compute into Networking
Meta has detailed MTIA 300, its first in-house accelerator optimized for training ranking and recommendation models.
-
Diagrid Catalyst 2.0 Adds Durable and Verifiable Execution for AI Agents
Diagrid Catalyst 2.0 applies Dapr-based recovery, signed workflow history and execution attestation across several agent frameworks. Architects should compare it with framework-native durability and established workflow engines, while evaluating benchmark evidence and operational trade-offs.
-
Cursor Releases Origin as an Agent-Native Alternative to GitHub
AI coding agent Cursor has launched Origin, a git based code hosting platform embedded inside its AI-powered editor, positioning it as an alternative to GitHub for teams that already work in Cursor. Origin is rolling out in early beta on Pro, Teams and Enterprise plans, and lives inside a new Codebase tab within the Cursor application.
-
Beyond Embedded: How DuckDB v2.0 Shifts Architecture toward Distributed Network Capabilities
DuckDB Labs has previewed DuckDB v2.0, codenamed "Cyanoptera." This release includes over 10000 commits and introduces a client/server mode, enabling network connections. Improvements also encompass extension portability, advanced data types, and a new parser. Performance enhancements include asynchronous I/O and storage optimisations. General availability is expected in fall 2026.