Abstract: WiFi-based human activity recognition (HAR) has emerged as a focal point within the Internet of Things landscape, owing to its non-intrusive sensing capabilities and inherent ...

DeepSeek founder Liang Wenfeng has published a new paper with a research team from Peking University, outlining key technical directions for next-generation sparse large language models. The study is ...

With so much money flooding into AI startups, it’s a good time to be an AI researcher with an idea to test out. And if the idea is novel enough, it might be easier to get the resources you need as an ...

This repository contains the code for a conditional diffusion model used to perform inverse analysis in the materials field. Specifically, we perform inverse analysis to propose microstructures and ...

Understanding how cells respond to perturbations of genes is central to uncovering the rules of gene regulation. Single-cell RNA sequencing combined with CRISPR-based perturbations has transformed ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Bayesian statistics remain popular for addressing inverse problems, whereby quantities of interest are determined from their noisy and indirect observations. Bayes’ theorem forms the foundation of ...

(a) Subject-Insertion task. (b) and (c) Subject-Spatial task. (d) Multi-Spatial task. Our unified framework effectively handles any combination of input conditions and achieves remarkable alignment ...

In the wake of the disruptive debut of DeepSeek-R1, reasoning models have been all the rage so far in 2025. IBM is now joining the party, with the debut today of its Granite 3.2 large language model ...

All over the AI field, teams are unlocking new functionality by changing the ways that the models work. Some of this has to do with input compression and changing the memory requirements for LLMs, or ...