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Waymo has disclosed key details about the high-performance computers installed in the trunks of its robotaxis. The company shared processor specifications, chip architecture, internal components, and hardware suppliers for the first time.
Entropic Scree is an open-source, model-agnostic diagnostic that uses Normalized Mutual Information to estimate intrinsic rank in complex tabular datasets. It aims to reduce the overestimation and structural failures associated with PCA, Kernel PCA, and Euclidean nearest-neighbor estimators.
Investor Duan Yongping bought back 301,400 Alibaba shares worth about $28.93 million, representing only 0.15% of his portfolio. The small position suggests renewed observation rather than strong conviction, especially as Alibaba explores AI cooperation with Apple while PDD Holdings receives a much larger allocation.
The Spectral Neuron is a proposed ML primitive based on the largest eigenvalue of an input-conditioned matrix. The preprint develops its mathematical properties, initialization and training methods, and evaluates scalability on synthetic and real-world datasets.
Chery’s AiMOGA Robotics has begun preparing for a potential standalone IPO and is discussing possible listing venues. The company has not selected an exchange or announced a timetable, but says the listing could fund technology investment and overseas expansion.
This survey frames self-evolving LLM agents as dynamic graphs whose memories, tools, skills, workflows, and relationships change over time. It presents four evolution taxonomies, connects nine dynamic-graph-learning fields to agent capabilities, and proposes graph-aware evaluation and governance protocols.
Apple Machine Learning presents a lexical-intervention approach for improving cross-lingual knowledge transfer when target-language data is scarce. The work targets downstream capabilities such as scientific reasoning, commonsense inference, and world knowledge without relying heavily on parallel data, translation systems, or auxiliary models.
Apple Machine Learning studies how to mix scarce target-domain data with abundant generic data during language-model pretraining. Across more than 2,000 training runs, the research examines the trade-off between insufficient target exposure, repeated examples, diminishing returns, and overfitting.
NVIDIA demonstrates how developers can build real-time edge AI applications with Holoscan using its CLI, skills, documentation, and AI coding agents. The workflow leverages HoloHub’s reference applications and reusable components to help agents assist with development.
AWS demonstrates how a mid-size mortgage lender automates document intake from email through classification, extraction, validation, and final data processing. The workflow combines the AWS GAIIC IDP Accelerator with Amazon Quick Automate.