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Pinterest is hiring a Staff Machine Learning Engineer for its Applied Research team, offering a salary of $189k–390k/yr for a remote position based in San Francisco, CA. The role involves conducting research in machine l…
A new machine-learning framework using a multi-armed bandit algorithm dynamically selects inductive generalization strategies for the IC3 hardware model checker, solving 26 to 50 more cases than traditional approaches an…
A new study using four years of data from Belgian offshore wind farms shows that tree-based machine learning models, particularly conditional diffusion models, improve wind power forecast accuracy by 5% in mean absolute …
A decision-aware machine learning framework developed by researchers and deployed with the Sierra Leone national government increased consumption of allocated essential medicines by 19% in treated districts, according to…
Researchers introduced ReactionAtlas, a machine learning framework that autonomously constructs chemical reaction networks from seed molecules without hand-crafted rules. Starting from eight pre-biotic seeds, it discover…
A developer explains why the normal distribution is fundamental in machine learning and statistics, highlighting its role in the Central Limit Theorem, statistical methods, and algorithm performance. The post covers key …
A machine learning math guide breaks down essential probability distributions for real-world deployment, covering Gaussian, Bernoulli, Binomial, and Multinomial distributions, and explains how concepts like temperature a…
Researchers introduced a topology-aligned inductive bias that aligns model architecture with molecular bond graphs, embodied in two architectures: the Iso-QGNN variational quantum circuit and the Iso-CGNN classical messa…
Handshake, the career platform powering 25 million job seekers, 1 million+ employers, and 1,600 educational institutions, is hiring a Machine Learning Engineer I for its Network and Handshake AI Marketplace Relevance tea…
Hyperbola project declined the Free Software Foundation's stance on machine learning, arguing that such software cannot be considered free due to non-ethical data use and privacy violations. The project warned that machi…
Researchers have developed an adaptive on-the-fly multifidelity machine learning algorithm that autonomously determines training dataset composition for quantum chemistry calculations. The algorithm reduces data generati…
The free online Quantum Machine Learning Conference will take place on 27 June 2026 at 10:00 CEST, organized by QPoland and Fundacja Quantum AI with strategic partner Cogit. The event features six talks on topics includi…
Apple hosted a two-day Workshop on Privacy-Preserving Machine Learning & AI in early 2026, bringing together its researchers and the broader academic community to discuss advances in private learning, foundation model pr…
FlashLib, a new GPU library for classical machine learning operators, achieves speedups of up to 208× over cuML on Hopper GPUs for algorithms including KMeans, KNN, and PCA. The library is designed to accelerate the "int…
A developer built predictive maintenance systems for aircraft using machine learning, converting operational data into maintenance support for inspection planning and fault detection. The workflow involves data collectio…
Graph machine learning and graph neural networks (GNNs) are transforming banking by modeling relationships between entities for fraud detection, anti-money laundering, credit risk modeling, and customer intelligence, mov…
Linear Regression, a foundational supervised learning algorithm, predicts continuous numerical values by finding the best-fitting straight line between input variables and a target. The model, which can be implemented in…
The Premium Machine Learning Artificial Intelligence Super Bundle, a twelve-course digital toolkit for learning AI and data science, is on sale for $37 via the Techdirt Deals Store, which is powered by StackSocial.
VecTrade.io engineers detail how to build real-time machine learning inference pipelines for algorithmic trading, using in-memory sliding ring buffers for feature extraction and multiprocessing worker pools with ONNX Run…
Swiggy developed a real-time machine learning ranking system for search autocomplete that replaces hand-tuned heuristics with a learned ranking model running directly inside OpenSearch, operating under strict latency con…