Frontiers

Information Theory Meets Deep Neural Networks: Theory and Applications, Volume II

Information Theory Meets Deep Neural Networks: Theory and Applications. The previous volume can be viewed here: Volume I Deep Neural Networks (DNNs) have become one of the most popular research ...
IEEE

RPEE-Heads Benchmark: A Dataset and Empirical Comparison of Deep Learning Algorithms for Pedestrian Head Detection in Crowds

Abstract: The automatic detection of pedestrian heads in crowded environments is essential for crowd analysis and management tasks, particularly in high-risk settings such as high dense railway ...
IEEE

Advancements in Landmine Detection: Deep Learning-Based Analysis With Thermal Drones

Abstract: The pervasive threat of landmines across conflict-affected regions necessitates advancements in detection technologies to enhance safety and efficiency in demining efforts. Furthermore, the ...
Le Lézard

FossID Expands Software Composition Analysis Beyond Open Source Detection

Custom knowledge base volumes simplify detection and tracking of commercial and proprietary components in your software. STOCKHOLM, SE / ACCESS Newswire / November 11, 2025 / FossID today announced ...

India’s Top 5 AI startups: Here is what they do and what their LLMs do

Here are five well-known startups, together with information on their main competencies, LLMs, and areas of concentration.
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How I’d Learn Deep Learning in 2025 – The Smarter, Faster Way

Thinking of diving into deep learning in 2025? Here's how I'd start today—from foundational concepts to cutting-edge tools. AI is evolving fast, but it's never too late to get in. #DeepLearning2025 ...