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A new roadmap outlines the skills needed to become an LLM engineer by 2026, focusing on adapting and serving pretrained large language models rather than training from scratch. The five-step path covers foundations, prom…
Ground truth datasets in machine learning are not objective or universal but are constructed through human decisions and technological limitations, argues a new analysis calling for transparency and context-aware reliabi…
Researchers have developed a new global dataset of annual migration flows across 230 countries from 1990 to the present, using deep learning to integrate diverse data sources. The model, which outperforms existing five-y…
Databricks' Genie Ontology shifts enterprise AI focus from models to governed context layers, with human-defined semantics and machine-learned graphs compounding over time. The ontology, called the 'secret sauce' by CEO …
SHARC, a new framework for SHapley Additive exPlanations for Regulatory Capital, makes Gaussian Process Regression models auditable by decomposing Stressed Value-at-Risk into baseline, mean-driven, and volatility-driven …
The Task-Conditioned Synthetic Data Generation (TCSDG) algorithm, pairing a Bayesian Network generator with a transformer-based model called TabICL, improved machine learning performance in crop type classification exper…
A new study finds Random Forest achieves a 0.99 F1-score in detecting intrusions on IoT devices using the Gotham2025 dataset, outperforming XGBoost, Logistic Regression, Naive Bayes, and Deep Neural Networks. The researc…
Scientists at Aalto University and international collaborators combined machine learning with quantum physics to discover two new superconductors, YRu3B2 and LuRu3B2, and developed a faster method to search for room-temp…
Airwars, a not-for-profit transparency watchdog, published a report titled 'Anatomy of an AI Kill Chain' detailing how machine learning powers modern warfare, with a fictitious kill chain showing that in some U.S. milita…
Canonical launched Managed Kubeflow on Microsoft Azure, a fully managed service that runs within the customer's own cloud tenancy to eliminate the operational overhead of maintaining Kubeflow's distributed microservices,…
A research project comparing three generations of quantitative trading strategies—1970s rule-based systems, classical machine learning, and Transformer-based deep learning—on Apple stock data from 2014 to 2024 found that…
An A-to-Z glossary of AI terms has been published, with each entry including a plain English definition and a real-world example. The glossary was created with assistance from AI itself, targeting both beginners and prac…
A new machine learning paradigm treats relational databases as graphs, enabling graph neural networks to learn directly from the raw schema without manual feature engineering. The approach, detailed in a 2023 paper by Fe…
A data science article explains the critical role of data distributions in statistical analysis and machine learning. It describes how distributions reveal the spread, center, shape, and outliers of data, and covers comm…
AI, data science, and machine learning are converging, transforming industries from healthcare to finance. Data scientists spend up to 80% of project time cleaning data, but tools like Trifacta and DataRobot help. Machin…
A developer's first machine learning project taught them that data cleaning is a critical foundation before model training. After getting poor results from a Kaggle dataset, they learned to inspect data types, handle mis…
A new study published in Nature reveals that large language models can transmit behavioral traits like animal preferences or misalignment to other models through semantically unrelated training data, such as number seque…
Artificial intelligence is now being deployed to detect, analyze, and respond to cyber threats in real time, moving cybersecurity beyond traditional signature-based rules. CodeCondo reports that core technologies includi…
Researchers from multiple institutions hacked a quantum neural network running on real trapped-ion hardware, collapsing its accuracy from 92.4% to 1.07% using a four-stage attack chain involving side-channel reconnaissan…
A developer argues that becoming an AI/ML engineer requires solid software engineering foundations, not shortcuts. The developer recommends Microsoft Learn's official Azure AI and Machine Learning Fundamentals as a resou…