Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
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…
In Reinforcement Learning with Human Feedback (RLHF), human preference collection involves generating multiple responses for a given prompt and asking people to select the preferred one, which is faster than manual respo…
A benchmark called "1rok" that evaluates seven frontier large language models (LLMs) as stock pickers, giving each $100,000 in paper capital and identical tools to select stocks weekly. The project, which started on Janu…
The article proposes an AI-powered tool called "Shazam for Movies" that allows users to upload a screenshot, short clip, or social media link to instantly identify the movie or TV show. The creator is considering buildin…
"7-dimension resilience framework" for building trust in AI agent systems, arguing that the most dangerous failures are not crashes but "drifts" where agents appear to function correctly while making subtle, undetected e…
The author successfully connected an AI agent called OpenClaw to a physical robot arm, enabling it to configure the arm, grasp objects, and train another AI model for object manipulation. This experiment highlights the "…
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…