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David Bruns-Smith of MIT Sloan will present "Two-Stage Machine Learning for Nonparametric Instrumental Variable Regression" on November 12, 2026, from 16:00 to 17:00 at Harvard's Littauer M-15 as part of the Econometrics…
DoorDash is hiring a Staff Machine Learning Scientist for Applied Causal Inference to build causal ML systems for its New Verticals business, with a salary range of $204,000 to $299,000 per year. The role, based in San F…
A machine learning model combining an autism questionnaire with online tests of emotion recognition, perception, and mental skills identified autistic adults with 92% accuracy, according to a study published in Translati…
A study published on arXiv (2607.28854v1) evaluated four machine learning models for discrete choice modeling in policy preference elicitation, finding that semi-parametric and non-parametric models generally outperform …
A developer argues that AI shifts the bottleneck from execution to ideation, favoring 'sparks'—creative, intuitive thinkers—over 'cogs'—procedural, reliable workers. The thesis claims that as machines learn human languag…
A retrospective cohort study used machine learning to predict end-stage renal disease (ESRD) and mortality in patients with chronic kidney disease (CKD). The model aims to identify high-risk patients for better clinical …
Wayve, the Embodied AI company founded in 2017, is hiring a Senior Machine Learning Engineer for Vision Models in Sunnyvale, offering $312k–370k/yr. The role involves building computer vision and scene understanding mode…
A developer building Naturalmelo, an AI text detector, discovered that the hardest challenge was not training the machine learning model but understanding user expectations. Users cared less about accuracy metrics and mo…
The author completed a self-directed Machine Learning roadmap, building projects like a customer churn prediction model and learning from mistakes such as data leakage and overfitting. However, after finishing the ML roa…
A new arXiv paper (2609.21309v1) surveys and formalizes strategies for using lossless compression algorithms such as gzip as machine learning methods, via Normalized Compression Distance or the Minimum Description Length…
A developer known as lyc8503 has built an AI-generated text detector that uses classical machine learning models, specifically scikit-learn's Linear SVC and Naive Bayes, to distinguish LLM-generated text from human-writt…
A data scientist who completed a machine learning master's degree reports that the experience made AI feel less magical and increased skepticism toward industry hype, as understanding the underlying mathematics and opera…
Handshake, the career network powering 25 million job seekers and 1,600 educational institutions, is hiring a Staff Machine Learning Engineer for its Handshake AI division, offering a salary of $238k–297k/yr for an on-si…
Applied Intuition, Inc., a $15 billion Silicon Valley company founded in 2017, is hiring a Machine Learning Performance Engineer for its Sunnyvale office with a salary of $215k–285k/yr. The role focuses on optimizing dis…
NASA has developed a machine learning module called COFFIES (Consequence Of Fields and Flows in the Interior and Exterior of the Sun) that predicts sunspot formation up to 12 hours before visible appearance by analyzing …
Toast is hiring a Senior Principal Software Engineer for its Machine Learning Platform team, offering a salary of $283k–453k/yr for a remote, US-based position. The role involves leading technical direction for core ML i…
OpenMatter Network Inc. announced the first major expansion of its platform since its commercial launch three months ago, adding MatterSDK, a Model Router gateway for managing AI models from OpenAI Group PBC, Anthropic P…
Researchers introduced implicit machine learning force fields (I-MLFFs) that replace explicit neural network layers with self-consistent fixed-point equations, enabling two- to five-fold reductions in compute and memory …
Researchers introduced DFSC, a PyTorch environment for fractional scientific machine learning that uses the Mittag-Leffler Spectral Layer to separate known fractional propagation from data-driven corrections, enabling jo…
QuadSci won the 2026 Machine Learning Company of the Year award from AI Breakthrough for the second consecutive year, claiming 90% predictive accuracy for churn and growth events 9-18 months before renewal. The company h…