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Waymo, an autonomous driving technology company, is hiring a Senior Machine Learning Engineer for its Multimodal Perception team in Mountain View, California, with a salary range of $213,000 to $263,000 per year. The rol…
Machine learning models predicting treatment retention and premature discontinuation in medications for opioid use disorder (MOUD) can show subgroup-level performance gaps even when overall predictive performance appears…
ServiceNow, through its Moveworks subsidiary, is hiring a Staff Machine Learning Engineer for its Agent Eval Platform in Mountain View, California, to build the judgment layer that scores AI agent trajectories. The role …
Researchers introduced actionable case-based feature importance (A-CBFI), a framework for tabular machine learning that integrates structural causal models with counterfactual recourse to target interventions. In evaluat…
A hybrid two-stage machine learning pipeline for fault detection and classification in power transmission systems raised Line-fault end-to-end accuracy from 31.3% to 95.8% on the TLFaultDataset, according to a paper on a…
Researchers at arXiv (2608.06469v1) introduced Fairis, a server-side reweighting scheme for collaborative machine learning that provably contains fairness poisoning attacks by malicious clients. Fairis guarantees every c…
A developer who was attending a full stack programming bootcamp in March 2021 delivered a presentation predicting the generative AI boom roughly 20 months before ChatGPT launched, showcasing the OpenAI beta, the leap fro…
Prior Labs' TabPFN, a pre-trained Transformer for tabular data, enables zero-shot machine learning predictions without manual feature engineering or hyperparameter tuning. The model integrates with Scikit-Learn, runs on …
Torc Robotics, a Daimler subsidiary developing autonomous trucking software, is hiring a Senior Machine Learning Engineer for its Ego-Motion & Localization Team, offering a salary of $177k–213k per year for a remote posi…
Sheaf, a new functional language for differentiable computation, brings Clojure's code-as-data paradigm to machine learning by representing models as inspectable, composable, and compiled data structures. The language el…
A developer created Yibelang (Y-ibe), a tiny programming language that lets users write machine learning as ordinary English sentences, one per line. The Y-ibe tool translates sentences into real Python (pandas + scikit-…
The IEEE P3109 draft standard defines a new family of parameterized binary floating-point formats designed for machine learning, allowing efficient value representation in few bits with adjustable width, precision, signe…
Researchers used interpretable machine learning to predict Parkinson's disease motor severity from QSM and fMRI features, achieving 45.4% variance explained and 75% of predictions within 5 points of clinical scores. The …
Muon Space posted an on-site software engineer role in San Jose, CA for computer vision and machine learning at a salary range of $212,000 to $233,000 per year, plus equity and benefits. The listing, filed under Inferenc…
A new survey highlights how combinatorial optimization can enhance trustworthiness in machine learning by providing global guarantees, formal certificates, and explicit trade-off handling across tasks like interpretabili…
Researchers developed an XGBoost machine learning model using eight routine clinical features from the Alzheimer's Disease Neuroimaging Initiative dataset that achieved 94.3% accuracy and a 0.982 macro AUC in classifying…
Wayve, the London- and Sunnyvale-based developer of Embodied AI technology for autonomous driving, posted an on-site Machine Learning Engineer, Performance Tooling role today, with no salary published. The position requi…
Fast Company named 20 companies, including Google, Lenovo, Match Group, and Williams-Sonoma, as winners in the AI, automation, and machine learning excellence category of its Best Workplaces for Innovators 2026 list, rec…
Researchers introduced ARGO, a fully-sensorized smart eyewear platform that uses the STM32N6 microcontroller's integrated Neural Processing Unit (NPU) to run on-device machine learning, achieving 10 FPS and ~113 minutes …
A new Task-Conditioned Synthetic Data Generation (TCSDG) algorithm pairing a Bayesian Network generator with a transformer-based tabular foundation model (TabICL) improved machine learning performance in 89% of crop type…