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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…
Researchers introduced RFpeptides, a denoising diffusion-based deep learning pipeline for de novo design of protein-binding macrocycles, reporting medium to high affinity binders against all four diverse protein targets …
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…
Northeastern University professor Yongmin Liu is developing optical metasurfaces that use light instead of electricity to run AI models, aiming for extremely low power consumption and high speed. With a recent National S…
A Hacker News user asked the community how to shift a recurring agentic workflow into a machine-learning process so an agent can learn from itself, iterate, and improve with human oversight and validation. The Ask HN pos…
A developer has published a tutorial on building a federated learning system on Android using Kotlin. The tutorial covers the architecture, including a central server coordinating training rounds, local model training on…
AI has industrialized cyberattacks, enabling a single operator to launch campaigns that once required a funded team, with 82.6% of phishing emails now containing AI and fully AI-automated phishing achieving a 54% click-t…
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…
NVIDIA researchers Nandish Mehta and Ben Lee published a paper on March 20, 2025, in Proc. SPIE 13372, Optical Interconnects and Packaging 2025, detailing methods to overcome challenges in co-integrated optics for accele…
NVIDIA researchers introduced IR-FRestormer, a novel method combining iterative refinement with Fourier-based restormer for accelerated MRI reconstruction, achieving state-of-the-art results. The work was presented at WA…
NVIDIA researchers introduced VILA-M3, a vision-language model enhanced with medical expert knowledge, at CVPR 2025. The model aims to improve AI understanding of medical images by incorporating domain-specific expertise…