Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
Invsr AI model by Zf-Kbot, an image super-resolution tool that uses iterative diffusion to reconstruct high-quality images from low-resolution inputs. Key features include configurable sampling steps (where more steps im…
The author used Google Colab, a free cloud-based Python environment, to train an AI for playing an offline card game, as their old MacBook Air could not handle the computational load. It explains the process of mounting …
To implement retrieval-augmented generation (RAG) using the pgvector extension within an existing PostgreSQL database, combined with Amazon Bedrock's Titan embedding model and Claude for answer generation. It details the…
Evolution of autonomous driving from traditional modular systems to end-to-end solutions, highlighting Tesla FSD V12's proof of concept for pure vision end-to-end driving and Waymo's continued focus on Robotaxi services.…
Amazon SageMaker AI now supports OpenAI-compatible API for real-time inference endpoints, allowing users to invoke models by changing only the endpoint URL without custom clients or code rewrites. The update enables bear…
In 2026, AI applications are widely deployed in production but present unique challenges such as unstable model outputs, high latency, and unpredictable costs, which traditional application performance monitoring (APM) c…
The primary challenge in building effective AI agents is not the choice of AI model, but rather the "harness engineering" infrastructure surrounding it. This discipline encompasses the scaffolding for orchestration, eval…
Context engineering is the practice of systematically selecting, organizing, and constraining the information (such as user intent, tool outputs, conversation history, and business rules) provided to an LLM, rather than …
Explaind**, a "cognitive steering layer" for Google's Gemma 4 model that functions as a structured prompt-assembly harness. Rather than being a chatbot or agent system, it is designed to explicitly engineer and control *…
BERT (Bidirectional Encoder Representations from Transformers) is an encoder-only transformer model that reads all tokens in a sentence simultaneously, using masked language modeling (MLM) and next sentence prediction (N…
Roboflow launched a Model Context Protocol (MCP) server that enables AI agents like Claude and Codex to build and deploy computer vision applications. The server gives agents tools to create projects, label images, train…
Christian Jacobsen, a researcher specializing in artificial intelligence and machine learning, published a new study on May 20, 2026. The work advances understanding in the field of AI and machine learning, contributing …
A technical approach to generating AI model comparison pages for a directory, where the author reduced the potential 19,900 model pairs to a manageable 50 by only comparing the top 4 models within each of 8 pipeline tags…
Artificial intelligence tools for investing offer advantages in data processing speed, pattern recognition, and real-time market monitoring, but carry risks including data quality issues, algorithmic bias, and potential …
Poor performance in Retrieval-Augmented Generation (RAG) systems is typically caused by inadequate document chunking or mismatched retrieval architecture, not by the embedding model or LLM. It describes chunking as the p…
Architecture of the AWS Briefing Agent, which was refactored to use the Strands Agents SDK and Amazon Bedrock Knowledge Base, resulting in a 75% reduction in code. The Strands Agents SDK provides core components like the…
Architecture of the AWS Briefing Agent, a personalized assistant built on Amazon Bedrock that uses Retrieval-Augmented Generation (RAG) to answer natural language queries about AWS releases. The system ingests RSS feed d…
AWS Briefing Agent, a personalized AI assistant built on Amazon Bedrock AgentCore, highlighting the shift from generative to agentic AI where autonomous agents now handle complex tasks with minimal human supervision. It …
PopuLoRA is a method for training large language models (LLMs) that uses co-evolving populations of teacher and student adapters to generate and solve verifiable reasoning tasks, such as code and math problems. Unlike si…
Recent AI/ML research as of May 16, 2026, highlighting three key areas: faster inference through techniques like distillation and low-rank adapters, extended context windows via hierarchical memory, and emerging safety g…