Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
Amazon Web Services released a reference architecture for building an AI-powered recruitment assistant using Amazon Bedrock, designed to automate candidate evaluation, generate personalized interview questions, and provi…
Amazon has released a solution enabling business analysts to modify dashboards using natural language commands, eliminating multi-day waits for IT teams. The system uses Amazon Bedrock AgentCore with Strands Agents and A…
Zep announced Observations, a new context type that automatically discovers patterns and insights across Context Graphs, capturing behaviors, decisions, and preferences that emerge across multiple episodes. The feature c…
Roboflow released a guide for integrating its computer vision workflows with OPC UA servers, enabling detection data to be written as live tags accessible to PLCs, SCADA, and dashboards. The process requires a Roboflow E…
Google has released Gemini 3.5 Flash, an AI model designed to close the gap between speed and intelligence, particularly for complex, multi-step agentic workflows. The model features a 1 million token context window, "th…
Local video indexing system on a 2021 MacBook using Gemma 4 to solve the problem of searching through a year's worth of unlabeled wildlife and travel footage. The author realized that AI video editing tools are ineffecti…
According to a May 2026 report from Tom's Hardware, the custom AI ASIC market is being driven by major deals from Broadcom and the continued development of in-house chips like Google's TPUs and Meta's MTIA. These special…
Enterprise inference now spans diverse hardware like GPU clusters and provider APIs, making each routing decision an infrastructure placement problem. The API gateway, designed for homogeneous traffic, lacks the visibili…
A 4-billion-parameter AI model released in early 2025 is now outperforming models seven times its size on standard reasoning benchmarks, with Google's Gemma 3 4B scoring 89.2% on GSM8K math reasoning and Microsoft's Phi-…
Running large language model inference servers like vLLM and TGI in production requires specialized observability because they behave differently from standard web services, with key metrics like latency being multi-dime…
While AI coding tools excel at generating code, they fail to address the critical 70% of software development work involving testing, deployment, and bug fixing. It highlights the "E2E testing gap," where traditional DOM…
Challenges of integrating an LLM into a 12-year-old fintech codebase, including issues like the LLM becoming a blocking dependency in a money flow, producing confident but incorrect outputs due to inconsistent historical…
According to the article, while current AI healthcare systems primarily focus on risk prediction and disease identification, the next frontier is the "medical world model," which simulates how a patient's biological stat…
WebMCP is a W3C draft specification that allows websites to expose their features as structured tools for AI agents to call directly, rather than scraping the page's DOM or screenshots. While some claim this will guarant…
A project called Simple RAG Chatbot, which allows users to build a chatbot that answers questions based on their own documents (such as Markdown or text files) rather than relying on the model's general knowledge. It exp…
Architecture and implementation of a real-time camera-based object classifier, detailing its use in applications like retail analytics, security, and self-driving cars. It provides a technical guide for building the syst…
This article describes a free, open-source AI engineering curriculum on GitHub maintained by Rohit Ghumare and contributors. The curriculum consists of 435 lessons across 20 phases, teaching algorithms from raw math befo…
Enterprise engineering teams are discovering that operationalizing artificial intelligence at scale is significantly more difficult than early experimentation, with a new survey revealing that nearly three-quarters of or…
Tutorial on building a FastAPI service with a POST /verify endpoint that combines two independent signals—C2PA cryptographic provenance manifests and an AI image detection classifier—to assess whether an uploaded image w…
An experiment using local Large Language Models (LLMs) to perform security checks and code quality reviews, motivated by rising costs and new limits for cloud-based LLM APIs. The author selected the `qwen2.5-coder:14b-in…