Sora
OpenAI Launches Sora Video Generator on Android
OpenAI's AI video generation platform Sora is now available on Android, expanding access to its text-to-video synthesis capabilities beyond iOS and web platforms.
Latest
AI Detection
PADBen Benchmark Tests AI Text Detectors Against Attacks
New research introduces PADBen, a comprehensive benchmark evaluating how AI text detectors perform against paraphrase attacks. The framework reveals critical vulnerabilities in current detection systems through adversarial testing.
embeddings
Dense, Sparse & Multi-Vector Embeddings: A Technical Guide
Deep dive into embedding architectures for AI retrieval systems. Learn how dense, sparse, and multi-vector embeddings differ in performance, memory usage, and real-world applications with implementation insights.
Machine Learning
Training Supervised AI Models Without Labeled Data
Explore practical techniques for building supervised machine learning models when annotated training data is unavailable, including weak supervision, self-supervised learning, and synthetic data generation approaches.
deepfakes
Doctor Targeted by AI Deepfake for Weight Loss Scam
Medical professional becomes latest victim of deepfake technology, falsely endorsing weight loss products in AI-generated video. Case highlights growing threat of synthetic media in fraudulent health product marketing.
deepfakes
Deepfake Video of Indian President Surfaces Online
A manipulated video falsely claiming President Droupadi Murmu was blackmailed has been identified as a deepfake, highlighting the growing challenge of synthetic media targeting political figures in India.
AI Agents
A2A vs MCP: Choosing AI Agent Communication Protocols
Deep dive into Agent-to-Agent (A2A) and Model Context Protocol (MCP) for AI agent systems. Technical comparison of architectures, use cases, and implementation strategies for multi-agent coordination.
LLM Architecture
LLM Architecture Evolution: Transformers to MoR Explained
Deep dive into the technical progression of large language model architectures, from the foundational Transformer through Mixture of Experts to cutting-edge Mixture of Routers, examining how each innovation addresses scaling and efficiency challenges.
neural networks
Batch Normalization: The Secret to Stable Neural Networks
Deep dive into batch normalization, the technique that revolutionized neural network training by solving internal covariate shift. Essential knowledge for building stable AI models including video generators and deepfake systems.
AI Agents
Building AI Agents with Persistent Memory and Decay
Technical deep dive into designing agentic AI systems with human-like memory decay, self-evaluation capabilities, and persistent personalization. Explores implementation strategies for creating adaptive AI agents that learn and forget contextually.
AI Agents
MAPE Control Loops: A New Approach to AI Agent Learning
New research introduces adaptive data flywheel methodology using Monitor-Analyze-Plan-Execute control loops to systematically improve AI agent performance through continuous feedback and refinement.
agentic AI
Building Multi-Agent AI Systems with LangGraph
LangGraph enables developers to orchestrate multiple AI agents as coordinated teams. This technical guide explores graph-based architectures, state management, and conditional routing for building sophisticated agentic systems in 2025.