Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
LangGraph, a popular framework for building multi-agent workflows, is vulnerable to **Memory Poisoning (ASI06)**, where a malicious payload written to shared state by one agent can compromise all other agents. To defend …
Amazon SageMaker AI now supports bidirectional streaming for real-time inference, enabling developers to build voice applications that process audio and return transcriptions simultaneously over a single persistent conne…
At Google I/O 2026, the company announced that its open-source Android app, AI Edge Gallery, now supports agent functionality and MCP (Model Context Protocol) connections, allowing large language models to run entirely o…
Author's experience watching the Google I/O 2026 keynote from a hostel room in Kolkata, where they observed the unveiling of Gemini 3.5 Flash and Antigravity 2.0. The author, a full-stack developer and ML engineer, highl…
Ten strategies to reduce costs associated with LLM API usage, emphasizing that users pay for input and output tokens rather than the inference itself. Key recommendations include selecting appropriately sized models (e.g…
Google AI Edge Portal is a new platform that allows developers to benchmark and debug large language models (LLMs) directly on over 120 different physical Android devices. It provides automated testing for critical perfo…
The PyTorch Docathon 2026, held from May 5 to May 19, resulted in over 150 merged pull requests after more than 260 registrants and 30 active participants contributed fixes, API documentation, and ExecuTorch documentatio…
A feature store is the operational center of a real-time ML system, responsible for storage, serving, registry, and consistency enforcement. Its central design challenge is achieving both consistency and low latency at s…
The Gemma 4 26B model was the first local AI to achieve a perfect score on the HumanEval benchmark, including solving the notoriously difficult problem 145. This problem requires sorting integers by the sum of their digi…
Stable Audio 3 is a family of fast latent diffusion models (small, medium, large) designed for variable-length audio generation and editing, capable of producing several minutes of sound. The models use a novel semantic-…
Grab's Analytics Data Warehouse team implemented a multi-agent AI system to automate engineering support workflows, handling tasks like SQL debugging and platform troubleshooting to reduce repetitive operational work. Th…
The author conducted a six-week benchmark comparing ten agentic AI frameworks—including LangGraph, CrewAI, and AutoGen—by running identical tasks across five evaluation dimensions: setup time, tool integration complexity…
Aspect-oriented programming (AOP) principles for AI agents by using "hookflows" as an event bus to handle cross-cutting concerns like notifications. Instead of having each agent explicitly call a Telegram notification fu…
The article compares three small, fast LLMs—Gemini 3.5 Flash, Claude Haiku, and GPT-4o mini—for routine tasks like classification and code routing, emphasizing that cheap, consistent models are preferable over frontier m…
Five key mistakes the author made while building Qioiper, a social media platform powered by seven AI systems. These errors included underestimating real-time latency for AI moderation, integrating CLIP AI before having …
Deploying applications powered by large language models (LLMs) introduces unique challenges compared to traditional software, as system behavior can drift unexpectedly due to changes in prompts, model versions, retrieval…
Interactive visual guide to LeNet-5, a neural network designed to recognize handwritten digits. It explains key components like convolution and pooling layers, feature maps, filters, and the RBF output layer, allowing us…
Generative AI is becoming an integral layer of modern software architecture, not a separate feature, and that backend engineers are well-positioned to work in this space due to their existing expertise in systems enginee…
Meryem Arik, CEO of Doubleword, presented on the importance of AI model gateways as a solution for managing the complexity that arises when decentralized teams use multiple inference providers (like OpenAI, Mistral, or s…
ARES (Adaptive Reasoning Effort Selection) is a framework that reduces the cost of multi-step LLM agent tasks by using a lightweight router to predict the minimum reasoning effort needed for each step, rather than applyi…