Artificial Intelligence
550 articles in this category (Page 23 of 23)
Multi-Agent System for Integrated Multi-Omics Data Analysis with Pathway Reasoning
A tutorial on building a multi-agent system to analyze transcriptomic, proteomic, and metabolomic data for biological insights using pathway reasoning and drug repurposing.
Spatial Supersensing as the Core Capability for Multimodal AI Systems
This article explores how spatial supersensing is emerging as a critical capability for multimodal AI systems, focusing on the Cambrian-S model and the VSI Super benchmark for evaluating long-video spatial reasoning.
Moonshot AI Introduces Kimi K2 Thinking: A Breakthrough in Long-Horizon Reasoning and Tool Use
Moonshot AI releases Kimi K2 Thinking, an open-source thinking model capable of executing 200–300 sequential tool calls without human intervention, optimized for long-horizon reasoning and agentic tasks.
Google AI Introduces Consistency Training for Safer Language Models Under Sycophantic and Jailbreak Style Prompts
Google AI introduces Consistency Training (Bias Augmented Consistency Training and Activation Consistency Training) to enhance language models' safety against sycophantic and jailbreak prompts while preserving their capabilities.
How Can We Build Scalable and Reproducible Machine Learning Experiment Pipelines Using Meta Research Hydra?
This article explains how to use Meta's Hydra framework to create scalable and reproducible ML experiments through structured configurations, overrides, and multirun simulations.
Comparing the Top 6 OCR Models in 2025: A Comprehensive Analysis
A detailed comparison of six leading OCR systems in 2025, including Google Cloud Document AI, AWS Textract, Azure AI Document Intelligence, ABBYY, PaddleOCR 3.0, and DeepSeek OCR, with focus on performance, deployment, and use cases.
Creating AI-Ready APIs: Best Practices for Enhancing AI Performance and Reliability
Explore Postman's checklist for building AI-ready APIs, emphasizing machine-readable metadata, error semantics, and consistency to ensure AI agents interact reliably with your systems.
Anthropic's Research Demonstrates Claude's Introspective Awareness Through Concept Injection in Controlled Layers
Anthropic's study reveals that Claude models can detect injected concepts via internal activations, offering causal evidence of introspection. The research highlights controlled success rates and implications for LLM transparency.
OpenAI Releases gpt-oss-safeguard: Open-Weight Safety Reasoning Models for Custom Policy Enforcement
OpenAI introduces two open-weight safety reasoning models, gpt-oss-safeguard-120b and gpt-oss-safeguard-20b, enabling developers to apply custom safety policies at inference time without retraining. The models are available under Apache 2.0 and optimized for hardware deployment.
Google AI Unveils Supervised Reinforcement Learning (SRL): A Step-Wise Framework for Enhancing Small Language Models
Google AI introduces Supervised Reinforcement Learning (SRL), a novel training framework that improves small language models' reasoning capabilities by leveraging expert trajectories and step-wise reward mechanisms.
Designing an Autonomous Multi-Agent Data Infrastructure System with Lightweight Qwen Models
A tutorial on building an agentic data and infrastructure strategy system using the Qwen2.5-0.5B-Instruct model for efficient pipeline intelligence, including code examples and real-world applications.
The Complete Guide to Model Context Protocol - MachineLearningMastery.com
This article explains the Model Context Protocol (MCP), an open-source standard for connecting language models to external systems, and its impact on AI integration scalability and interoperability.
Liquid AI Releases LFM2-ColBERT-350M: A Compact Late Interaction Model for Multilingual Cross-Lingual Retrieval
Liquid AI introduces LFM2-ColBERT-350M, a 350M-parameter late interaction retriever optimized for multilingual and cross-lingual search, offering high accuracy and fast inference speeds.
Building a RAG Application with Spring Boot, Spring AI, MongoDB Atlas Vector Search, and OpenAI
This article details the implementation of a Retrieval-Augmented Generation (RAG) application using Spring Boot, Spring AI, MongoDB Atlas Vector Search, and OpenAI. It covers the architecture, implementation details, and potential applications of this technology, highlighting its versatility and adaptability across various industries.
Vercel Ship AI 2025: AI SDK 6 Beta, Marketplace Updates, and Workflow for TypeScript
Vercel announced several AI development tool updates at Ship AI 2025, including the AI SDK 6 beta with agent abstraction and tool execution approval, enhanced Marketplace agents and services, the open-source use workflow library for TypeScript, and a Vercel Agent for code reviews and production monitoring.
A Plan-Do-Check-Act Framework for AI Code Generation
AI code generation tools promise faster development but often create quality issues, integration problems, and delivery delays. A structured Plan-Do-Check-Act cycle can maintain code quality while leveraging AI capabilities. Through working agreements, structured prompts, and continuous retrospection, it asserts accountability over code while guiding AI to produce tested, maintainable software.