Stop Chasing GPT: Why Startups Should Build Small, Focused AI Instead

Bigger AI isn’t always better. Here's why smaller, task-specific models deliver faster performance, lower costs and better ...
IEEE

Mid-wave Infrared Spectral Imaging for Gas Detection Based on Dictionary Learning and Sparse Reconstruction

Abstract: Mid-wave infrared (MWIR) spectral imaging is a powerful technique for regional-scale gas detection, however, existing instruments suffer from bulky volume, long scanning time, and complex ...
GitHub

plot_sparse_coding.py

therefore motivates learning the dictionary to best fit your type of signals.

The soul of a new machine

Religious scholars and technologists are asking whether artificial intelligence can reflect the values that shape human life.

IndexCache, a new sparse attention optimizer, delivers 1.82x faster inference on long-context AI models

Researchers at Tsinghua University and Z.ai built IndexCache to eliminate redundant computation in sparse attention models ...
Nature

Spiking activity propagation in neuronal networks: reconciling different perspectives on neural coding

One of the central problems in neuroscience is the characterization and understanding of the neural code. In 1968 Perkel and Bullock defined four key functions for a candidate neural code: stimulus ...
Opinion
The LancetOpinion

More equitable preconception health: paternal life course opportunities for better pregnancy, child, and family outcomes

Men and partners are important contributors to the health of future generations, yet their own preconception health and wellbeing remain secondary considerations in research, practice, and policy.
Scientific Research Publishing

A Multimodal Machine-Learning Framework for Predicting Lithium-Associated Renal Dysfunction from Synthetic Biomarker Trajectories ()

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...
IEEE

Enhanced Two-Stage Sparse Bayesian Learning Algorithm for Multi-Vehicle Precise Detection and Localization with MIMO-FMCW Radar

Abstract: Accurate identification and positioning of multiple vehicles is a critical challenge in autonomous driving, particularly over long distances. While sparse Bayesian learning (SBL) methods ...
GitHub

Deep Equilibrium Convolutional Sparse Coding for Hyperspectral Image Denoising

Jin Ye, Jingran Wang, Fengchao Xiong, Jun Zhou, and Yuntao Qian, ["Deep Equilibrium Convolutional Sparse Coding for Hyperspectral Image Denoising"] TGRS 2025 Abstract: Hyperspectral images (HSIs) play ...