New computational imaging method cuts X-ray dose while preserving high resolution

Researchers have shown that it's possible to take clear, high-resolution X-ray images using very little radiation. With more ...
SDxCentral

TurboQuant: Is compression all you need to beat the memory crunch?

Vector quantization, stock dips & RAMageddon – the real story behind how a memory compression algorithm went viral ...
Analytics Insight

The Quiet Compression: How AI Is Collapsing the Cost of Digital Production

There is a version of the AI story that gets all the attention: frontier models, billion-parameter training runs, the race ...
NERDBOT

The Indie Dev’s Blueprint: 9 Practical Ways to Optimize Game Asset Pipelines

Indie game development is often a battle against the clock. When you are operating as a solo developer or working within a ...

Microchip Advances Neural Network Implementation with VectorBlox™ 3.0 Accelerator SDK

To better manage these challenges, Microchip Technology (Nasdaq: MCHP) has released the VectorBlox™ 3.0 Accelerator Software Development Kit (SDK) to help simplify FPGA‑based AI implementation and ...
GitHub

A low-latency, billion-scale, and updatable graph-based vector store on SSD.

⚡ Ultra-Low Latency <1ms for 1 billion vectors (top-10, 90% recall), only 1.14x-2.02x of in-memory index ...
IEEE

Frequency Support for the Decarbonization of an Isolated Low-Inertia System With the Integration of RES and BESS

Abstract: This paper proposes a technical methodology to decarbonize an isolated low-inertia system with the integration of a Renewable Energy Source (RES) and a Battery Energy Storage System (BESS).
IEEE

Efficient Mamba-Attention Network for Remote Sensing Image Super-Resolution

Abstract: Lightweight remote sensing image super-resolution (RSISR) methods aim to reconstruct remote sensing images (RSIs) while reducing computational complexity. Previous lightweight model ...