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Microsoft CEO Satya Nadella warned that AI users pay a 'double cost' of money and 'unique knowledge,' validating Japan's industrial policy of pursuing domestic AI to control data sovereignty and intellectual property. Na…
A Mount Sinai research team led by Mahmud Omar and Eyal Klang found that OpenAI's GPT-5 amplifies sociodemographic biases in clinical decision-making, assigning higher urgency and less advanced testing to marginalized gr…
Researchers at Princeton University have developed AI-driven methods to design radio-frequency integrated circuits (RFICs) that outperform human-designed chips in performance and are created in a fraction of the time. Th…
Data pipeline best practices for architecture, ingestion, transformation, and deployment are outlined, emphasizing the importance of defining SLAs and mapping pipelines to business requirements. Modern pipelines use batc…
Flama 2.0 introduces first-class support for generative AI, enabling users to download, package, and serve large language models (LLMs) via a single command line. The framework allows fetching models from HuggingFace, in…
Top 10 foundries saw 3.7% QoQ revenue growth in Q1 2026, driven by AI and consumer electronics, according to TrendForce. TSMC's market share grows on advanced AI chips, while SMIC gains from consumer demand, reflecting a…
The article provides a curated list of open-source Python tools and libraries essential for building algorithmic and quantitative trading systems. Key resources highlighted include Optuna for hyperparameter optimization,…
Canary ML, a new open-source Python library, provides drift and anomaly detection for production machine learning models built with scikit-learn and Keras/TensorFlow. The tool offers a drop-in wrapper that monitors model…
Modal Labs released state-of-the-art DFlash speculators for Qwen 3.5 and Qwen 3.6 models on Hugging Face, achieving 5-20% additional speedups and enabling Qwen 3.5 122B-A10B to run at over 1000 tok/s on a B200 node. The …
Python's lambda functions, or anonymous functions, allow developers to write concise, single-line functions without a name. They are commonly used with higher-order functions like map(), filter(), and reduce() for data p…
Search platforms like Google Ads, Meta, and TikTok are pushing advertisers toward broader, AI-driven targeting, making creative the primary qualifier for audiences. As targeting narrows, precise messaging helps cut waste…
The field of artificial intelligence marks its 70th anniversary since being formally established at the 1956 Dartmouth Summer Research Project. AI has evolved from early neural network concepts by McCulloch and Pitts and…
Modal introduced Servers, a new ultra-low-latency HTTP serving solution for serverless applications, built on Pingora, Envoy, and Spanner. The system minimizes overhead by avoiding control-plane lookups and queues in the…
Artifipedia has released an interactive map visualizing 56 AI concepts and 150 connections between them, generated from the encyclopedia's 'connects to' links. The map allows users to drag nodes, trace connections, and e…
Data scientists are increasingly expected to work with large language models, build generative AI applications, and deploy models to production, expanding their role beyond classical modeling. The shift emphasizes collab…
Physical AI lab automation is emerging as a critical investment thesis to address the structural crisis in chemistry and drug discovery, where human limitations in high-dimensional optimization, dark data from failed exp…
NVIDIA researchers and collaborators published a review in the Annual Review of Biomedical Engineering detailing the transition of federated learning in healthcare from research to real-world deployment. The paper, autho…
Researchers at NVIDIA and Harvard Medical School used federated learning to predict clinical outcomes in COVID-19 patients, enabling collaborative model training across institutions without sharing sensitive data. The st…
NVIDIA researchers published a study in IEEE Transactions of Medical Imaging investigating whether gradient inversion attacks compromise federated learning safety, finding that such attacks can reconstruct training data …
NVIDIA researchers published a study in Nature Digital Medicine on September 14, 2020, exploring the use of federated learning to advance digital health while preserving patient data privacy. The approach enables collabo…