· ai
Welcome to 2025 Wrapped 🚀
Overview In 2025 we witnessed major launches in technology. AI became more powerful, while cyber‑risk also increased. The FBI recovered over 60 million stolen...
-
- · ai
[Paper] Self-Supervised Neural Architecture Search for Multimodal Deep Neural Networks
Neural architecture search (NAS), which automates the architectural design process of deep neural networks (DNN), has attracted increasing attention. Multimodal...
- · ai
[Paper] Projection-based Adversarial Attack using Physics-in-the-Loop Optimization for Monocular Depth Estimation
Deep neural networks (DNNs) remain vulnerable to adversarial attacks that cause misclassification when specific perturbations are added to input images. This vu...
- · ai
AI-Powered Dating Is All Hype. IRL Cruising Is the Future
Dating apps and AI companies have been touting bot wingmen for months. But the future might just be good old-fashioned meet-cutes....
- · ai
[Paper] Equivalence of Personalized PageRank and Successor Representations
The hippocampus appears to implement two core but highly distinct functions in the brain: long term memory retrieval and planning and spatial navigation. Naivel...
- · ai
[Paper] DynaFix: Iterative Automated Program Repair Driven by Execution-Level Dynamic Information
Automated Program Repair (APR) aims to automatically generate correct patches for buggy programs. Recent approaches leveraging large language models (LLMs) have...
- · ai
[Paper] Localized Calibrated Uncertainty in Code Language Models
Large Language models (LLMs) can generate complicated source code from natural language prompts. However, LLMs can generate output that deviates from what the u...
- · ai
[Paper] Evolutionary Discovery of Sequence Acceleration Methods for Slab Geometry Neutron Transport
We present a genetic programming approach to automatically discover convergence acceleration methods for discrete ordinates solutions of neutron transport probl...
- · ai
[Paper] Generalising E-prop to Deep Networks
Recurrent networks are typically trained with backpropagation through time (BPTT). However, BPTT requires storing the history of all states in the network and t...
- · ai
[Paper] PackKV: Reducing KV Cache Memory Footprint through LLM-Aware Lossy Compression
Transformer-based large language models (LLMs) have demonstrated remarkable potential across a wide range of practical applications. However, long-context infer...
- · software
Top 7 Featured DEV Posts of the Week
Mean Time to Understanding 🤔: The Irreducible Human Element in the Age of Infinite Code 🤖 Author: GrahamTheDev Date: Dec 21 Tags: ai, webdev, programming Gra...
- · ai
[Paper] RedunCut: Measurement-Driven Sampling and Accuracy Performance Modeling for Low-Cost Live Video Analytics
Live video analytics (LVA) runs continuously across massive camera fleets, but inference cost with modern vision models remains high. To address this, dynamic m...