Tiny electric motor can produce more than 1,000 horsepower
YASA's new electric motor delivers 750 kilowatts (1,005 horsepower) while weighing only 28 pounds, outperforming its predecessor by 40% in power density.
Exploring a space-based, scalable AI infrastructure system design
Project Suncatcher aims to revolutionize AI infrastructure by deploying solar-powered satellite constellations equipped with TPUs and optical links, potentially enhancing machine learning capabilities in space.
Resolution limit of the eye – how many pixels can we see?
The study reveals that the resolution limit of the human eye is significantly higher than previously thought, measuring 94 pixels per degree (ppd) for achromatic vision and 89 ppd for red-green patterns, indicating a need for display technologies to adapt to these findings.
We're open-sourcing the successor of Jupyter notebook
Deepnote is open-sourcing its successor to Jupyter notebooks, designed for reactive, collaborative, and AI-ready workflows, addressing the limitations of traditional Jupyter experiences that hinder productivity and innovation.
Skyfall-GS – Synthesizing Immersive 3D Urban Scenes from Satellite Imagery
Skyfall-GS synthesizes immersive 3D urban scenes from satellite imagery, leveraging open-domain diffusion models to create high-quality textures without the need for expensive 3D annotations.
Server DRAM prices surge 50% as AI-induced memory shortage hits hyperscalers
Server DRAM prices have surged by up to 50% due to an AI-driven memory shortage, with major U.S. and Chinese hyperscalers only receiving 70% of their orders fulfilled, indicating a significant supply chain disruption.
Optimizing Datalog for the GPU
The paper introduces a hash-indexed sorted array for efficient Datalog execution on GPUs, enhancing performance through optimized memory access patterns and reducing redundant computations during Semi-naïve Evaluation.
[R] We were wrong about SNNs. The bo.ttleneck isn't binary/sparsity, it's frequency.
The performance gap between Spiking Neural Networks (SNNs) and Artificial Neural Networks (ANNs) is primarily due to low-pass filtering effects of spiking neurons, rather than binary activation losses, as shown in recent research.
Aisuru botnet shifts from DDoS to residential proxies
The Aisuru botnet, initially notorious for record-breaking DDoS attacks, has pivoted to a more sustainable model by renting out hundreds of thousands of compromised IoT devices as residential proxies, facilitating cybercriminals in anonymizing their online activities.
[P] Explanation of Gated DeltaNet (Qwen3-Next and Kimi Linear)
Gated DeltaNet is a linear attention mechanism inspired by recurrent neural networks, utilizing a gating mechanism to enhance memory control and improve long-context reasoning, as seen in the architectures of Qwen3-Next and Kimi Linear.
[D][P] PKBoost v2 is out! An entropy-guided boosting library with a focus on drift adaptation and multiclass/regression support.
PKBoost v2 introduces Shannon Entropy Guidance and Hierarchical Adaptive Boosting, enhancing feature selection and drift adaptation, crucial for handling imbalanced datasets effectively.
Deutsche Telekom and NVIDIA Launch Industrial AI Cloud — a ‘New Era’ for Germany’s Industrial Transformation
Deutsche Telekom and NVIDIA have launched the world’s first Industrial AI Cloud, a sovereign platform designed to enhance Germany's industrial capabilities, set to go live in early 2026.
[P] Fast, Scalable LDA in C++ with Stochastic Variational Inference
Open-sourced a high-performance C++ implementation of Latent Dirichlet Allocation (LDA) using Stochastic Variational Inference (SVI), designed for multithreading and optimized for memory reuse and cache efficiency; it also exports MALLET-compatible snapshots for standard evaluations. Repo