Onyx: Cost-Efficient Disk-Oblivious ANN Search
Researchers proposed Onyx, a disk-oblivious approximate nearest neighbor (ANN) search system that achieves 1.7–9.9× lower cost and 2.3–12.3× lower latency than the state-of-the-art oblivious ANN searc…
Researchers proposed Onyx, a disk-oblivious approximate nearest neighbor (ANN) search system that achieves 1.7–9.9× lower cost and 2.3–12.3× lower latency than the state-of-the-art oblivious ANN searc…
At Hot Chips 2026, Anurag Agarwal and Radhakrishna Giduthuri presented simulations and projections for High Bandwidth Flash (HBF), a new memory technology that combines SSD-like flash storage with HBM…
For vector search at scale, on-disk indexing strategies like DiskANN can reduce infrastructure costs by up to 90% compared to in-memory HNSW, according to a technical analysis. The trade-off is a late…
Object detection models have evolved from two-stage detectors like R-CNN to one-stage models such as YOLO and transformer-based architectures like DETR, each offering trade-offs between accuracy and s…
Object detection models are deep learning architectures that classify and localize target objects within images or video frames, outputting bounding box coordinates, class labels, and confidence score…
Newegg has slashed $300 off the Stormcraft Phantom gaming PC, now priced at $2,799.99, featuring an RTX 5080, Ryzen 7 9800X3D, 32GB DDR5, and 2TB SSD, making it a compelling deal for 4K gaming during …
Amazon's Prime Day deal discounts the Thunderobot Zero 18 Pro gaming laptop by 27% to $2,199, its lowest price ever. The laptop features an 18-inch QHD+ 240Hz display, Nvidia RTX 5070 Ti GPU, Intel Co…
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 Da…
A developer advocates moving from 'vibe coding' to Spec-Driven Development (SSD) using Spec Kit to improve code quality and enable efficient use of AI tools. The approach defines clear specifications …
Speculative decoding, a lossless inference optimisation that predicts future tokens to reduce latency, faces new economic constraints as modern mixture-of-experts (MoE) architectures replace dense tra…
The article presents a table of approximate latency times for common computer operations, ranging from L1 cache references (0.5 ns) to transcontinental network round trips (150 ms). Compiled by Jeff D…