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Google Research published a study showing that modifying its Maps routing algorithm to reroute a small share of trips away from congested segments improved median driving speeds by about 2% and reduced fuel consumption. …
A researcher requests an arXiv endorsement for a machine learning paper on fairness-aware readmission prediction for diabetic patients, which is under review at IBCAST (IEEE).
Google Ads performance is significantly impacted by campaign structure, which determines how machine learning interprets data and allocates budget. Over-segmentation starves campaigns of conversion volume, hindering Smar…
TikTok's automated systems detected and removed 178 million videos, or 96.7 percent, of the 184 million videos taken down globally in the first quarter of this year, before human moderators reviewed them. At the company'…
Investor Jeremy Coller projected that AI will enable two-way communication with animals by 2030, citing advances in machine learning models built by the Earth Species Project that helped analyze 150,000 recordings of car…
A developer has open-sourced a Claude-powered crypto trading bot on GitHub under an MIT license, inviting contributions from developers, traders, writers, and testers. The project is a complete, documented system for LLM…
Researchers introduced Prof-K, a probabilistic one-pass filtering algorithm for top-k selection that guarantees correctness with probability at least 1 - ε, achieving 1.5x-10x speedups over PyTorch topk and RadiK impleme…
The R-ebirth project released relm, an R package with a Rust native core that embeds llama.cpp to expose local LLMs as base-R objects, supporting loading, generation, embeddings, activation tracing, steering, and ablatio…
Jialiang Wang, a researcher in Artificial Intelligence and Machine Learning, Computer Vision, and Generative AI, has published his work on Google Scholar, with his profile accessible at https://scholar.google.com/citatio…
ECHO, a novel framework for traceable context reconstruction in agentic reinforcement learning, achieves 43.4% held-out accuracy on BrowseComp-Plus, outperforming GRPO's 28.9% and SUPO's 36.1% with fewer turns and lower …
A backend engineer has developed a mental model for understanding how AI, large language models (LLMs), and agents work together, focusing on the core pillars of transformers and vector databases. The engineer, who began…
Researchers have developed LakeFM, a foundation model for aquatic ecosystems trained on large-scale simulated and observed lake data. The model learns representations of lake-level characteristics and achieves superior f…
Jason Stock, a researcher specializing in artificial intelligence, machine learning, computer vision, and generative AI, focuses his work on climate simulation. His contributions to the field are documented through his G…
DuckDB v1.5.3 introduces full `MERGE INTO` support and `ALTER TABLE` commands for schema evolution in Apache Iceberg tables, along with partition transforms and Iceberg V3 compatibility. PostgreSQL's new open-source `pg_…
Modular released the first beta of Mojo 1.0, a systems programming language that combines Python-like syntax with Rust-style memory safety and ownership. The language provides precise control over memory, strong typing, …
Two startups, San Francisco-based Periodic Labs and Cambridge, Mass.-based Quantum Formatics, are using AI and robots to discover new superconductors that can operate at temperatures above 10 kelvins, the transition temp…
A developer has built UchenML, a C++20 framework that compiles trained neural networks directly into C++ binaries, enabling models to run in edge applications without inference servers or API calls. The framework, demons…
A new arXiv preprint (2607.15433v1) characterizes the interpretability of a single-qubit mixed-state binary classification model as the "ellipsoid version" of a standard linear model, replacing a hyperplane with a hypere…
At YCML, YC's first machine learning research showcase at Startup School 2026, eight researchers presented papers on topics including model reasoning, formal mathematics, video agents, and robotics. Notable work includes…
A study found that indirect aggression is common in Indian conversations on X about sports and political events, and explored whether machine learning could help identify different forms of aggression in Indian X posts a…